|
Abulaish M. & Dey L. 2005. Knowledge enhancement through ontology-guided text mining. In Proceedings of the PReMI 2005, 601–604.
Google Scholar
|
|
Abulaish M. & Dey L. 2006. Interoperability among distributed overlapping ontologies – a fuzzy ontology framework. In Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, 397–403.
Google Scholar
|
|
Abulaish M. & Dey L. 2007. A fuzzy ontology generation framework for handling uncertainties and non-uniformity in domain knowledge description. In Proceedings of the International Conference on Computing: Theory and Applications, 287–293.
Google Scholar
|
|
Alexopoulos P., Wallace M., Kafentzis K. & Askounis D. 2012. IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp ones. Knowledge and Information Systems 32(3), 667–695.
Google Scholar
|
|
Ali F., Kim E. K. & Kim Y. G. 2015. Type-2 fuzzy ontology-based semantic knowledge for collision avoidance of autonomous underwater vehicles. Information Sciences 295, 441–464.
Google Scholar
|
|
Angryk R. A., Dolan J. & Petry F. E. 2006. Development of ontologies by the lowest common abstraction of terms using fuzzy hypernym chains. Studies in Fuzziness and Soft Computing 204, 123–148.
Google Scholar
|
|
Asma D. & Zizette B. 2014. Fuzzy ontology evolution: classification of a new individual. Journal of Emerging Technologies in Web Intelligence 6(1), 9–14.
Google Scholar
|
|
Atanassov K. 1986. Intuitionistic fuzzy sets. Fuzzy Sets and Systems 20, 87–96.
Google Scholar
|
|
Attia Z. E., Gadallah A. M. & Hefny H. A. 2014. Semantic information retrieval model: fuzzy ontology approach. International Journal of Computer Applications 91(13), 9–14.
Google Scholar
|
|
Baader F., Calvanese D., McGuinness D., Nardi D. & Patel-Schneider P. F. 2003. The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press.
Google Scholar
|
|
Baader F. & Hanschke P. 1991. A scheme for integrating concrete domains into concept languages. In Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI’91), 452–457.
Google Scholar
|
|
Bahri A., Bejaoui L. & Chakhar S. 2005. On the similarity relation within fuzzy ontologies components. In The International Symposium on Computational Intelligence and Intelligent Informatics.
Google Scholar
|
|
Bahri A., Bouaziz R. & Gargouri F. 2007. Dealing with similarity relations in fuzzy ontologies. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), 1836–1841.
Google Scholar
|
|
Bahri A., Bouaziz R. & Gargouri F. 2009. Fuzzy ontology implementation and query answering on databases. In Proceedings of the 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2009).
Google Scholar
|
|
Bakillah M. & Mostafavi M. A. 2011. A fuzzy logic semantic mapping approach for fuzzy geospatial ontologies. In Proceedings of the Fifth International Conference on Advances in Semantic Processing, 21–28.
Google Scholar
|
|
Bandini S., Calegari S. & Radaelli P. 2006. Towards fuzzy ontology handling vagueness of natural languages. In Proceedings of the First International Conference on Rough Sets and Knowledge Technology (RSKT 2006), LNAI 4062, 693–700, Springer Berlin Heidelberg.
Google Scholar
|
|
Barranco C. D., Campana J. R., Medina J. M. & Pons O. 2007. On storing ontologies including fuzzy datatypes in relational databases. In Proceedings of IEEE International Conference on Fuzzy Systems, 1–6.
Google Scholar
|
|
Baziz M., Boughanem M., Prade H. & Pasi. G. 2006. A fuzzy logic approach to information retrieval using an ontology-based representation of documents. In Fuzzy Logic and the Semantic Web, Sanchez, E. (ed.), Elsevier 1, 363–377.
Google Scholar
|
|
Berners-Lee T., Hendler J. & Lassila O. 2001. The semantic web. The Scientific American 284(5), 34–43.
Google Scholar
|
|
Blanco I. J., Marín N., Martínez-Cruz C. & Vila M. A. 2005. About the use of ontologies for fuzzy knowledge representation. In Joint EUSFLAT-LFA05, 100–105.
Google Scholar
|
|
Blanco I. J., Vila M. A. & Martínez-Cruz C. 2008. The use of ontologies for representing database schemas of fuzzy information. International Journal of Intelligent Systems 23(4), 419–445.
Google Scholar
|
|
Bobillo F. 2008. Managing Vagueness in Ontologies. PhD thesis, University of Granada.
Google Scholar
|
|
Bobillo F., Delgado M. & Gómez-Romero J. 2006. A crisp representation for fuzzy SHOIN with fuzzy nominals and general concept inclusions. In Proceedings of the 2nd International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 06).
Google Scholar
|
|
Bobillo F., Delgado M. & Gómez-Romero J. 2007. Optimizing the crisp representation of the fuzzy description logic SROIQ. In Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web.
Google Scholar
|
|
Bobillo F., Delgado M. & Gómez-Romero J. 2009a. Crisp representations and reasoning for fuzzy ontologies. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17(4), 501–530.
Google Scholar
|
|
Bobillo F., Delgado M. & Gómez-Romero J. 2012. DeLorean: a reasoner for fuzzy OWL 2. Expert Systems with Applications 39(1), 258–272.
Google Scholar
|
|
Bobillo F., Delgado M., Gómez-Romero J. & López E. 2009b. A semantic fuzzy expert system for a fuzzy balanced scorecard. Expert Systems with Applications 36(1), 423–433.
Google Scholar
|
|
Bobillo F., Delgado M., Gómez-Romero J. & Straccia U. 2009c. Fuzzy description logics under Gödel semantics. International Journal of Approximate Reasoning 50(3), 494–514.
Google Scholar
|
|
Bobillo F., Delgado M. & Sanchez-Sanchez J. C. 2013. Parallel algorithms for fuzzy ontology reasoning. IEEE Transactions on Fuzzy Systems 21(4), 775–781.
Google Scholar
|
|
Bobillo F. & Straccia U. 2008. fuzzyDL: an expressive fuzzy description logic reasoner. In Proceedings of the 2008 IEEE International Conference on Fuzzy Systems, 923–930.
Google Scholar
|
|
Bobillo F. & Straccia U. 2009a. An OWL ontology for fuzzy OWL 2. In ISMIS 2009, LNAI 5722, 151–160.
Google Scholar
|
|
Bobillo F. & Straccia U. 2009b. Fuzzy descriptions logics with fuzzy truth values. In Proceedings of the 13th World Congress of the International Fuzzy Systems Association and 6th Conference of the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT 2009), 189–194.
Google Scholar
|
|
Bobillo F. & Straccia U. 2010. Representing fuzzy ontologies in OWL 2. In Proceedings of the 19th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), 2695–2700.
Google Scholar
|
|
Bobillo F. & Straccia U. 2011a. Aggregations operators and fuzzy OWL 2. In Proceedings of the 2011 International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 1727–1734.
Google Scholar
|
|
Bobillo F. & Straccia U. 2011b. Fuzzy ontology representation using OWL 2. Journal of Approximate Reasoning 52, 1073–1094.
Google Scholar
|
|
Bobillo F. & Straccia U. 2012. Generalized fuzzy rough description logics. Information Sciences 189(1), 43–62.
Google Scholar
|
|
Bosc P., Kraft D. H. & Petry F. E. 2005. Fuzzy sets in database and information systems: status and opportunities. Fuzzy Sets and Systems 156(3), 418–426.
Google Scholar
|
|
Bragaglia S., Chesani F., Ciampolini A., Mello P., Montali M. & Sottara D. 2010. An hybrid architecture integrating forward rules with fuzzy ontological reasoning. In HAIS 2010, Part I, LNAI 6076, 438–445, Springer Berlin Heidelberg.
Google Scholar
|
|
Buche P., Dervin C., Haemmerle O. & Thomopoulos R. 2005. Fuzzy querying of incomplete, imprecise, and heterogeneously structured data in the relational model using ontologies and rules. IEEE Transactions on Fuzzy Systems 13(3), 373–383.
Google Scholar
|
|
Buche P., Dibie-Barthelemy J. & Ibanescu L. 2008. Ontology mapping using fuzzy conceptual graphs and rules. In ICCS Supplement, 17–24.
Google Scholar
|
|
Bukhari A. C. & Kim Y. G. 2012. Integration of a secure type-2 fuzzy ontology with a multi-agent platform: a proposal to automate the personalized flight ticket booking domain. Information Sciences 198, 24–47.
Google Scholar
|
|
Bulskov H., Knappe R. & Andreasen T. 2002. On measuring similarity for conceptual querying. In FQAS 2002, 100–111.
Google Scholar
|
|
Cai Y. & Leung H. 2011. Formalizing object membership in fuzzy ontology with property importance and property priority. In Proceedings of the 2011 IEEE International Conference on Fuzzy Systems, 1719–1726.
Google Scholar
|
|
Calegari S. & Ciucci D. 2006. Integrating fuzzy logic in ontologies. In ICEIS, Manolopoulos, Y., Filipe, J., Constantopoulos, P. & Cordeiro, J. (eds). INSTICC Press, 66–73.
Google Scholar
|
|
Calegari S. & Ciucci D. 2007. Fuzzy ontology, fuzzy description logics and fuzzy-OWL. In Proceedings of WILF 2007, LNCS 4578, 118–126, Springer Berlin Heidelberg.
Google Scholar
|
|
Calegari S. & Loregian M. 2006. Using dynamic fuzzy ontologies to understand creative environments. In FQAS 2006, 404–415.
Google Scholar
|
|
Calegari S. & Sanchez E. 2008. Object-fuzzy concept network: an enrichment of ontologies in semantic information retrieval. JASIST 59(13), 2171–2185.
Google Scholar
|
|
Calì A., Lukasiewicz T., Predoiu L. & Stuckenschmidt H. 2007. A framework for representing ontology mappings under probabilities and inconsistency. In URSW 2007.
Google Scholar
|
|
Calvanese D., De Giacomo G., Lembo D., Lenzerini M. & Rosati R. 2007. Tractable reasoning and efficient query answering in description logics: the DL-Lite family. Journal of Automated Reasoning 39(3), 385–429.
Google Scholar
|
|
Cao B., Li T. F. & Zhang C. Y. 2009. Measuring concept similarity between fuzzy ontologies. Fuzzy Information and Engineering 62(2), 163–171.
Google Scholar
|
|
Carlsson C., Brunelli M. & Mezei J. 2012. Decision making with a fuzzy ontology. Soft Computing 16, 1143–1152.
Google Scholar
|
|
Carlsson C., Fullér R. & Mezei J. 2010. An approximate reasoning approach to rank the results of fuzzy queries. In Proceedings of the 2nd International Conference on Applied Operational Research-ICAOR’10, 382–387.
Google Scholar
|
|
Carlsson C., Mezei J. & Brunelli M. 2013. Fuzzy ontology used for knowledge mobilization. International Journal of Intelligent Systems 28(1), 52–71.
Google Scholar
|
|
Castano S., Ferrara A., Lorusso D., Näth T. H. & Moeller R. 2008. Mapping validation by probabilistic reasoning. In Proceedings of the 5th European Semantic Web Conference, LNCS 5021, 170–184. Springer Verlag.
Google Scholar
|
|
Castillo O., Melin P., Tsvetkov R. & Atanassov K. 2014. Short remark on interval type-2 fuzzy sets and intuitionistic fuzzy sets. In Proceedings of the 18th International Conference on IFSs, 1–5.
Google Scholar
|
|
Ceravolo P., Corallo A., Damiani E., Elia G., Viviani M. & Zilli A. 2006. Bottom-up extraction and maintenance of ontology-based metadata. In Fuzzy Logic and the Semantic Web, Sanchez, E. (ed.). Elsevier, 265–282.
Google Scholar
|
|
Ceravolo P., Damiani E. & Leida M. 2008. Which role for an ontology of uncertainty? In Proceedings of the 4th URSW 2008, 423.
Google Scholar
|
|
Chandrasekaran B., Josephson J. & Benjamins V. 1999. What are ontologies, and why do we need them? IEEE Intelligent Systems 14(1), 20–26.
Google Scholar
|
|
Chen S., Nikolaidis E., Cudney H. H., Rosca R. & Haftka R. 1999. Comparison of probabilistic and fuzzy set methods for designing under uncertainty. In 40th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit, 2860–2874.
Google Scholar
|
|
Chen W., Yang Q., Zhu L. & Wen B. 2009. Research on automatic fuzzy ontology generation from fuzzy context. In Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation, 764–767.
Google Scholar
|
|
Cheng J., Ma Z. M., Yan L. & Wang H. 2008a. Querying over fuzzy description logic. Wuhan University Journal of Natural Sciences 13(4), 429–434.
Google Scholar
|
|
Cheng J., Ma Z. M., Zhang F. & Wang X. 2008b. Conjunctive query answering over an f-ALC knowledge base. In Web Intelligence/IAT Workshops 2008, 279–282.
Google Scholar
|
|
Cheng J., Ma Z. M., Zhang F. & Wang X. 2009a. Deciding query entailment in fuzzy description logic knowledge bases. In Proceedings of the 20th International Conference on Database and Expert Systems (DEXA 2009), 830–837.
Google Scholar
|
|
Cheng J., Ma Z. M., Zhang F. & Wang X. 2009b. Deciding query entailment for fuzzy SHIN ontologies. In Proceedings of the 4th Annual Asian Semantic Web Conference (ASWC 2009), 120–134.
Google Scholar
|
|
Corcho O., Fernández-López M. & Gómez-Pérez A. 2003. Methodologies, tools and languages for building ontologies. Where is their meeting point? Data & Knowledge Engineering 46, 41–64.
Google Scholar
|
|
Costa P. C. G., Laskey K. B. & Lukasiewicz T. 2008. Uncertainty representation and reasoning in the semantic web. In Semantic Web Engineering in the Knowledge Society, Cardoso, J. & Lytras, M. D. (eds). IGI Global, 315–340.
Google Scholar
|
|
Cross V. & Kandasamy M. 2011. Fuzzy concept lattice construction: a basis for building fuzzy ontologies. In Proceedings of the 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 1743–1750.
Google Scholar
|
|
Cross V. & Voss C. R. 1999. Fuzzy ontologies for multilingual document exploitation. In Proceedings of the 1999 Conference of NAFIPS, June, 392–397.
Google Scholar
|
|
Cuenca Grau B., Horrocks I., Motik B., Parsia B., Patel-Schneider P. & Sattler U. 2008. OWL 2: the next step for OWL. Web Semantics: Science, Services and Agents on the World Wide Web 6(4), 309–322.
Google Scholar
|
|
Cui Z., Fang W., Xian X., Zhang S. & Zhao P. 2009. Extension of OWL with dynamic fuzzy logic. In Proceedings APWeb/WAIM Workshops, 67–76.
Google Scholar
|
|
Dasiopoulou S., Kompatsiaris I. & Strintzis M. G. 2009. Applying fuzzy DLs in the extraction of image semantics. Journal of Data Semantics XIV, 105–132.
Google Scholar
|
|
Dasiopoulou S., Kompatsiaris I. & Strintzis M. G. 2010. Investigating fuzzy DLs-based reasoning in semantic image analysis. Multimedia Tools and Applications 46(2), 331–370.
Google Scholar
|
|
Dasiopoulou S., Saathoff C., Mylonas P., Avrithis Y., Kompatsiaris Y., Staab S. & Strinztis M. G. 2008. Introducing context and reasoning in visual content analysis: an ontology-based framework. In Semantic Multimedia and Ontologies, Kompatsiaris, Y. (ed.). Springer, 99–122.
Google Scholar
|
|
Dellschaft K. & Staab S. 2008. Strategies for the evaluation of ontology learning. In Ontology Learning and Population: Bridging the Gap Between Text and Knowledge, Buitelaar, P. & Cimiano, P. (eds). IOS Press, 253–272.
Google Scholar
|
|
De Maio C., Fenza G., Loia V. & Senatore S. 2009. Towards an automatic fuzzy ontology generation. In Proceedings of the 2009 IEEE International Conference on Fuzzy Systems, 1044–1049.
Google Scholar
|
|
Dey L. & Abulaish M. 2006. Enhancing a biological concept ontology to fuzzy relational ontology with relations mined from text. In Proceedings of the 5th RSCTC 2006, 527–536.
Google Scholar
|
|
Dey L. & Abulaish M. 2007. Fuzzy ontology-based text mining system for knowledge acquisition, ontology enhancement, and query answering from biomedical texts. In Computational Intelligence in Bioinformatics, Fogel, G. B., Corne, D. W. & Pan, Y. (eds). John Wiley & Sons, Inc., 297–339.
Google Scholar
|
|
Dey L., Abulaish M., Goyal R. & Shubham K. 2007. A rough-fuzzy ontology generation framework and its application to bio-medical text processing. In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC 2007), 74–79.
Google Scholar
|
|
Ding L., Kolari P., Ding Z., Avancha S., Finin T. & Joshi A. 2005. Using ontologies in the semantic web: a survey. In TR-CS-05-07. UMBC.
Google Scholar
|
|
Dubois D. & Prade H. 1993. Fuzzy sets and probability: misunderstandings, bridges and gaps. In Proceedings of the Second IEEE International Conference on Fuzzy Systems, 1059–1068.
Google Scholar
|
|
Duong T., Nguyen N., Kozierkiewicz-Hetma’nska A. & Jo G. 2011. Fuzzy ontology integration using consensus to solve conflicts on concept level. In New Challenges for Intelligent Information and Database Systems, Nguyen, N. T., Trawiński, B., & Jung, J. J. (eds). Springer Berlin Heidelberg, 33–42.
Google Scholar
|
|
Ejegwa P. A., Akowe S. O., Otene P. M. & Ikyule J. M. 2014. An overview on intuitionistic fuzzy sets. International Journal of Scientific & Technology Research 3(3), 142–145.
Google Scholar
|
|
Elleuch N., Zarka M., Ammar A. B. N. & Alimi A. M. 2011. A fuzzy ontology-based framework for reasoning in visual video content analysis and indexing. In MDMKDD’11.
Google Scholar
|
|
Escovar E. L. G., Yaguinuma C. A. & Biajiz M. 2006. Using fuzzy ontologies to extend semantically similar data mining. In XXI Simpósio Brasileiro de Banco de Dados (SBBD), 16–30.
Google Scholar
|
|
Fernández S., Velasco J. R. & López-Carmona M. A. 2009. A fuzzy rule-based system for ontology mapping. In Proceedings of PRIMA’2009, 500–507.
Google Scholar
|
|
Ferrara A., Lorusso D., Stamou G., Stoilos G., Tzouvaras V. & Venetis T. 2008. Resolution of conflicts among ontology mappings: a fuzzy approach. In Proceedings of the 3rd International Workshop on Ontology Matching (OM 2008).
Google Scholar
|
|
Ferreira-Satler M., Romero F. P., Olivas J. A. & Serrano-Guerrero J. 2014. Fuzzy ontology-based approach for automatic construction of user profiles. In Rough Sets and Current Trends in Computing, Cornelis, C., Kryszkiewicz, M., Ślȩzak, D., Menasalvas Ruiz, E., Bello, R. & Shang, L. (eds), Springer International Publishing, 339–346.
Google Scholar
|
|
Gallova S. 2007. Fuzzy ontology and information access on the web. IAENG International Journal of Computer Science 34(2), 234–238.
Google Scholar
|
|
Gangemi A., Catenacci C., Ciaramita M. & Lehmann J. 2006. Modelling ontology evaluation and validation. In Proceedings of the 3rd European Semantic Web Conference (ESWC2006), 140–154.
Google Scholar
|
|
Gao M. & Liu C. 2005. Extending OWL by fuzzy description logic. In Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence, 562–567.
Google Scholar
|
|
Garcés P. J, Olivas J. A. & Romero F. P. 2006. Concept-matching IR systems versus word-matching information retrieval systems: considering fuzzy interrelations for indexing web pages. JASIS&T 57(4), 564–576.
Google Scholar
|
|
Ghorbel H., Bahri A. & Bouaziz R. 2009. Fuzzy Protégé for fuzzy ontology models. In Proceedings of the 11th International Protégé Conference IPC’2009, Academic Medical Center, University of Amsterdam.
Google Scholar
|
|
Ghorbel H., Bahri A. & Bouaziz R. 2010. Fuzzy ontologies building method: fuzzy ontomethodology. In 2010 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2010).
Google Scholar
|
|
Gómez-Romero J., Bobillo F., Ros M., Molina-Solana M., Ruiz M. D. & Martín-Bautista M. J. 2015. A fuzzy extension of the semantic building information model. Automation in Construction 57, 202–212.
Google Scholar
|
|
Gu H. M., Wang X., Ling Y. & Shi J. Q. 2007. Building a fuzzy ontology of edutainment using OWL. In ICCS 2007, Part III, LNCS 4489, 591–594, Springer Berlin Heidelberg.
Google Scholar
|
|
Gurský P., Horváth T., Jirásek J., Novotný R., Pribolová J., Vaneková V. & Vojtáš P. 2008. Knowledge processing for web search – an integrated model and experiments. Journal of Scalable Computing: Practice and Experience 9(1), 51–59.
Google Scholar
|
|
Haarslev V., Pai H. I. & Shiri N. 2007. Optimizing tableau reasoning in ALC extended with uncertainty. In Proceedings of the 2007 International Workshop on Description Logics (DL-2007), 307–314.
Google Scholar
|
|
Haarslev V., Pai H. & Shiri N. 2008. Uncertainty reasoning for ontologies with general Tboxes in description logic. In Uncertainty Reasoning for the Semantic Web I, Costa, P. C. G., D’Amato, C., Fanizzi, N., Laskey, K. B., Laskey, K., Lukasiewicz, T., Nickles, M. & Pool, M. (eds), LNCS (LNAI), 5327, 385–402. Springer.
Google Scholar
|
|
Habiballa H. 2007. Resolution strategies for fuzzy description logic. In Proceedings of the 5th Conference of the European Society for Fuzzy Logic and Technology, 27–36.
Google Scholar
|
|
Hadjiski M. 2008. Adaptation of fuzzy ontology for cascade multi-agent system. In Proceedings of the 4th International IEEE Conference on Intelligent Systems, 59–64.
Google Scholar
|
|
Hamani M. S., Maamri R., Kissoum Y. & Sedrati M. 2014. Unexpected rules using a conceptual distance based on fuzzy ontology. Journal of King Saud University-Computer and Information Sciences 26(1), 99–109.
Google Scholar
|
|
Horrocks I., Patel-Schneider P. F. & van Harmelen F. 2003. From SHIQ and RDF to OWL: the making of a web ontology language. Journal of Web Semantics 1(1), 7–26.
Google Scholar
|
|
Horrocks I. & Patel-Schneider P. F. 2004. Reducing OWL entailment to description logic satisfiability. Journal of Web Semantics 1(4), 345–357.
Google Scholar
|
|
Horrocks I. & Sattler U. 2001. Ontology reasoning in the SHOQ(D) description logic. In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2001), 199–204.
Google Scholar
|
|
Hudelot C., Atif J. & Bloch I. 2008. Fuzzy spatial relation ontology for image interpretation. Fuzzy Sets and Systems 159(15), 1929–1951.
Google Scholar
|
|
He L., Yue P., Jiang L. & Zhang M. 2014. Fuzzy spatial relation ontology driven detection of complex geospatial features in a web service environment. Earth Science Informatics 8(1), 1–14.
Google Scholar
|
|
Inyaem U., Meesad P., Haruechaiyasak C. & Tran D. 2010. Construction of fuzzy ontology-based terrorism event extraction. In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (WKDD 2010), 391–394.
Google Scholar
|
|
Ivanova T. I. 2008. A metric and approach for fuzzy ontology evaluation. In Proceedings of International Scientific Conference Computer Science, 822–827.
Google Scholar
|
|
Jiang Y., Tang Y., Wang J. & Tang S. 2009a. Reasoning within intuitionistic fuzzy rough description logics. Information Sciences 179(14), 2362–2378.
Google Scholar
|
|
Jiang Y., Wang J., Deng P. & Tang S. 2009b. Reasoning within expressive fuzzy rough description logics. Fuzzy Sets and Systems 160(23), 3403–3424.
Google Scholar
|
|
Jiang Y., Wang J., Tang S. & Xiao B. 2009c. Reasoning with rough description logics: an approximate concepts approach. Information Sciences 179(5), 600–612.
Google Scholar
|
|
Kang D., Lu J., Xu B., Li Y. & He Y. 2005a. Two reasoning methods for extended fuzzy ALCH. In OTM 2005, Meersman, R. & Tari, Z. (eds), LNCS 3761, 1588–1595, Springer Berlin Heidelberg.
Google Scholar
|
|
Kang D., Xu B., Lu J., Li Y., He Y., Chu W. C. & Chen H. 2005b. Approximate information retrieval for heterogeneity ontologies. In International Conference on Cyberworlds, 539–544.
Google Scholar
|
|
Knappe R., Bulskov H. & Andreasen T. 2007. Perspectives on ontology-based querying. International Journal of Intelligent Systems 22(7), 739–761.
Google Scholar
|
|
Klinov P. & Mazlack L. J. 2006. Fuzzy rough approach to handling imprecision in semantic web ontology. In Proceedings of Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2006), 142–147.
Google Scholar
|
|
Klir G. J. & Yuan B. 1995. Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice-Hall.
Google Scholar
|
|
Lam T. H. W. 2006. Fuzzy ontology map—a fuzzy extension of the hard-constraint ontology. In Proceedings of the 5th IEEE/WIC/ACM International Conference on Web Intelligence, 506–509.
Google Scholar
|
|
Lau R. Y. K., Lai C. C. L. & Li Y. 2009. Mining fuzzy ontology for a web-based granular information retrieval system. In RSKT 2009, LNCS 5589, 239–246, Springer Berlin Heidelberg.
Google Scholar
|
|
Lee C. S., Jian Z. W. & Huang L. K. 2005. A fuzzy ontology and its application to news summarization. IEEE Transactions on Systems, Man and Cybernetics Part B 35(5), 859–880.
Google Scholar
|
|
Lee C. S., Wang M. H. & Hagras H. 2010. A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation. IEEE Transactions on Fuzzy System 18(2), 374–395.
Google Scholar
|
|
Li Y., Xu B., Lu J. & Kang D. 2006a. Discrete tableau algorithms for FSHI. In Proceedings of the 2006 International Workshop on Description Logics.
Google Scholar
|
|
Li Y., Xu B., Lu J. & Kang D. 2006b. Reasoning technique for extended fuzzy ALCQ. In ICCSA (2), 1179–1188.
Google Scholar
|
|
Li Y., Xu B., Lu J., Kang D. & Wang P. 2005a. A family of extended fuzzy description logics. In Proceedings of the IEEE 29th Annual International Computer Software and Applications Conference, 221–226.
Google Scholar
|
|
Li Y., Xu B., Lu J., Kang D. & Wang P. 2005b. Extended fuzzy description logic ALCN. In Proceedings of KES (4), 896–902.
Google Scholar
|
|
Liang Q. & Mendel J. M. 2000. Interval type-2 fuzzy logic systems: theory and design. IEEE Transactions on Fuzzy Systems 8(5), 535–550.
Google Scholar
|
|
Ling Y., Gu H. M., Wang X. & Shi J. Q. 2007. A fuzzy ontology and its application to computer games. In Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 442–446.
Google Scholar
|
|
Lisi F. A. & Straccia U. 2013. A logic-based computational method for the automated induction of fuzzy ontology axioms. Fundamenta Informaticae 124(4), 503–519.
Google Scholar
|
|
Liu C. H., Lee C. S., Wang M. H., Tseng Y. Y., Kuo Y. L. & Lin Y. C. 2013. Apply fuzzy ontology and FML to knowledge extraction for university governance and management. Journal of Ambient Intelligence and Humanized Computing 4(4), 493–513.
Google Scholar
|
|
Loia V. 2011. Fuzzy ontologies and fuzzy markup language: a novel vision in web intelligence. In Proceedings of AWIC 2011, 3–10.
Google Scholar
|
|
Lu J. J., Kang D. Z., Zhang Y. F., Li Y. H. & Zhou B. 2008. A family of fuzzy description logics with comparison expressions. In RSKT 2008, 395–402.
Google Scholar
|
|
Lu J. J., Xu B. W., Li Y. H. & Kang D. Z. 2006. A family of extended fuzzy description logics. International Journal of Business Intelligence and Data Mining 1(4), 384–400.
Google Scholar
|
|
Lukasiewicz T. 2006. Fuzzy description logic programs under the answer set semantics for the semantic web. In Proceedings of RuleML-2006, 89–96.
Google Scholar
|
|
Lukasiewicz T & Straccia U. 2007. Tightly integrated fuzzy description logic programs under the answer set semantics for the semantic web. In Proceedings of RR-2007, 289–298.
Google Scholar
|
|
Lukasiewicz T. & Straccia U. 2008. Managing uncertainty and vagueness in description logics for the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web 6(4), 291–308.
Google Scholar
|
|
Lv Y. H., Ma Z. M. & Yan L. 2008. Fuzzy RDF: a data model to represent fuzzy metadata. In Proceedings of the 17th IEEE International Conference on Fuzzy Systems, 1439–1445.
Google Scholar
|
|
Lv Y. H., Ma Z. M. & Zhang X. 2009. Fuzzy ontology storage in fuzzy relational database. In Proceedings of International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2009), 242–246.
Google Scholar
|
|
Ma Z. M. 2006. Soft Computing in Ontologies and Semantic Web. Springer-Verlag.
Google Scholar
|
|
Ma Z. M., Lv Y. & Yan L. 2008. A fuzzy ontology generation framework from fuzzy relational databases. International Journal of Semantic Web Information Systems 4(3), 1–15.
Google Scholar
|
|
Ma Z. M. & Yan L. 2008. A literature overview of fuzzy database models. Journal of Information Science and Engineering 24(1), 189–202.
Google Scholar
|
|
Ma Z. M., Zhang F. & Cheng J. 2011a. Extracting knowledge from fuzzy relational database with description logic. Integrated Computer-Aided Engineering 18, 1–19.
Google Scholar
|
|
Ma Z. M., Zhang F., Wang H. & Yan L. 2013. An overview of fuzzy description logics for the semantic web. The Knowledge Engineering Review 28(1), 1–34.
Google Scholar
|
|
Ma Z. M., Zhang F., Yan L. & Cheng J. 2011b. Representing and reasoning on fuzzy UML models: a description logic approach. Expert Systems with Applications 38(3), 2536–2549.
Google Scholar
|
|
Ma Z. M., Zhang F., Yan L. & Lv Y. 2010. Formal semantics-preserving translation from fuzzy ER model to fuzzy OWL DL ontology. Web Intelligence and Agent Systems: An International Journal 8(4), 397–412.
Google Scholar
|
|
Maedche A. & Steffen S. 2001. Ontology learning for the semantic web. IEEE Intelligent Systems 16(2), 72–79.
Google Scholar
|
|
Mailis T., Stoilos G., Simou N. & Stamou G. B. 2008. Tractable reasoning based on the fuzzy EL++ algorithm. In Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2008). CEUR Workshop Proceedings, 423.
Google Scholar
|
|
Mailis T. P., Stoilos G. & Stamou G. B. 2007. Expressive reasoning with horn rules and fuzzy description logics. In RR 2007, Lecture Notes in Computer Science 4524, 43–57. Springer.
Google Scholar
|
|
Manolis N. & Tzitzikas Y. 2011. Interactive exploration of fuzzy RDF knowledge bases. In Proceedings of the 8th Extended Semantic Web Conference, 1–16.
Google Scholar
|
|
Mazzieri M. 2004. A fuzzy RDF semantics to represent trust metadata. In Proceedings of the 1st Italian Semantic Web Workshop: Semantic Web Applications and Perspectives.
Google Scholar
|
|
Mazzieri M. & Dragoni A. F. 2005. A fuzzy semantics for semantic web languages. In Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web, 12–22.
Google Scholar
|
|
Mazzieri M. & Dragoni A. F. 2008. A fuzzy semantics for the resource description framework. In URSW 2008, LNCS (LNAI) 5327, 244–261, Springer Berlin Heidelberg.
Google Scholar
|
|
Mezei J., Wikström R. & Carlsson C. 2015. Aggregating linguistic expert knowledge in type-2 fuzzy ontologies. Applied Soft Computing 35, 911–920.
Google Scholar
|
|
Molinera J. A. M., Gálvez I. J. P., Wikström R., Viedma E. H. & Carlsson C. 2014. Designing a decision support system for recommending smartphones using fuzzy ontologies. In Proceedings of the 7th IEEE International Conference Intelligent Systems, 323–334.
Google Scholar
|
|
Motik B. 2005. On the properties of metamodeling in OWL. In Proceedings of the Fourth International Semantic Web Conference (ISWC 2005), LNCS 3729, 548–562. Springer.
Google Scholar
|
|
Mylonas P., Vallet D., Castells P., Fernandez M. & Avrithis Y. 2008. Personalized information retrieval based on context and ontological knowledge. Knowledge Engineering Review 23(1), 73–100.
Google Scholar
|
|
Nagypal G. & Motik B. 2003. A fuzzy model for representing subjective and vague temporal knowledge ontologies. In International Conference on Ontologies, Databases and Applications of Semantics, 906–923.
Google Scholar
|
|
Nebel B. 1990. Terminological reasoning is inherently intractable. Journal of Artificial Intelligence 43, 235–249.
Google Scholar
|
|
Nieto M. A. M. 2003. An Overview of Ontologies. Technical report, Center for Research in Information and Automation Technologies and Interactive and Cooperative Technologies Lab, Universidad De Las Americas Puebla. http://www.starlab.vub.ac.be/teaching/ontologies_overview.pdf.
Google Scholar
|
|
Nikravesh M., Takagi T., De Cock M. & Guadarrama S. 2004. The automatic construction of fuzzy ontologies for search in the WWW and the use of fuzzy spiders for the detection of objects in images. In 2004 EECS Research Summary, 135–139.
Google Scholar
|
|
Niwattanakul S., Martin P., Eboueya M. & Khaimook K. 2007. Ontology mapping based on similarity measure and fuzzy logic. In Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 6383–6387.
Google Scholar
|
|
Nguyen N. T. & Truong H. B. 2010. A consensus-based method for fuzzy ontology integration. In Proceedings of ACL/AFNLP (Software Demonstrations), 480–489.
Google Scholar
|
|
Nováček V. & Smrž P. 2006. Empirical merging of ontologies: a proposal of universal uncertainty representation framework. In Proceedings of the European Semantic Web Conference, 65–79. Springer-Verlag.
Google Scholar
|
|
Oliboni B. & Pozzani G. 2008. An XML Schema for Managing Fuzzy Documents. Technical report, Department of Computer Science, University of Verona.
Google Scholar
|
|
Olivas J. A., Garcés P. & Romero F. P. 2003. An application of the FIS-CRM model to the FISS metasearcher: using fuzzy synonymy and fuzzy generality for representing concepts in documents. International Journal of Approximate Reasoning (Soft Computing in Recognition and Search) 34, 201–219.
Google Scholar
|
|
Pakonen A., Tommila T. & Hirvonen J. 2010. A fuzzy ontology based approach for mobilizing industrial plant knowledge. In Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), 1–8.
Google Scholar
|
|
Pan J. Z., Stamou G., Stoilos G. & Thomas E. 2007. Expressive querying over fuzzy DL-Lite ontologies. In Proceedings of DL-2007.
Google Scholar
|
|
Pan J. Z., Stamou G., Stoilos G., Thomas E. & Taylor S. 2008. Scalable querying service over fuzzy ontologies. In International World Wide Web Conference (WWW 08), 575–584.
Google Scholar
|
|
Pan J. Z., Thomas E., Ren Y. & Taylor S. 2012. Exploiting tractable fuzzy and crisp reasoning in ontology applications. IEEE Computational Intelligence Magazine 7(2), 45–53.
Google Scholar
|
|
Papadopoulos G., Mylonas P., Mezaris V., Avrithis Y. & Kompatsiaris I. 2006. Knowledge-assisted image analysis based on context and spatial optimization. International Journal on Semantic Web and Information Systems 2(3), 17–36.
Google Scholar
|
|
Parry D. 2006a. Fuzzy ontologies for information retrieval on the WWW. In Fuzzy Logic and the Semantic Web, Sanchez, E. (ed.), 21–48. Elsevier.
Google Scholar
|
|
Parry D. 2006b. Evaluation of a fuzzy ontology-based medical information system. International Journal of Health Information Systems and Informatics 1(1), 40–51.
Google Scholar
|
|
Parry D. 2008. Tell me the important stuff – fuzzy ontologies and personal assessments for interaction with the semantic web. In Proceedings of FUZZ-IEEE 2008, 1295–1300.
Google Scholar
|
|
Pawlak J. 1982. Rough sets. International Journal of Information and Computers 11, 341–356.
Google Scholar
|
|
Pereira R., Ricarte I. & Gomide F. 2009. Information retrieval with FROM: the fuzzy relational ontological model. International Journal of Intelligent Systems 24(3), 340–356.
Google Scholar
|
|
Pérez I. J., Wikstrom R., Mezei J., Carlsson C. & Herrera-Viedma E. 2013. A new consensus model for group decision making using fuzzy ontology. Soft Computing 17, 1617–1627.
Google Scholar
|
|
Pham T. D. & Valliappan S. 1993. Constructing the membership function of a fuzzy set with objective and subjective information. Computer-Aided Civil and Infrastructure Engineering 8(1), 75–82.
Google Scholar
|
|
Quan T. T., Hui S. C. & Fong A. C. M. 2006a. Automatic fuzzy ontology generation for semantic help-desk support. IEEE Transactions on Industrial Informatics 2(3), 155–164.
Google Scholar
|
|
Quan T. T., Hui S. C., Fong A. C. M. & Cao T. H. 2006b. Automatic fuzzy ontology generation for semantic web. IEEE Transaction on Knowledge and Data Engineering 18(6), 842–856.
Google Scholar
|
|
Rani M., Muyeba M. K. & Vyas O. P. 2014. A hybrid approach using ontology similarity and fuzzy logic for semantic question answering. In Advanced Computing, Networking and Informatics, Kundu, M. K., Mohapatra, D. P., Konar, A. & Chakraborty, A. (eds). Springer International Publishing, 601–609.
Google Scholar
|
|
Reformat M. & Ly C. 2009. Ontological approach to development of computing with words based systems. International Journal of Approximate Reasoning 50(1), 72–91.
Google Scholar
|
|
Rodger J. A. 2013. A fuzzy linguistic ontology payoff method for aerospace real options valuation. Expert Systems with Applications 40(8), 2828–2840.
Google Scholar
|
|
Rodríguez N. D., Cuéllar M. P., Lilius J. & Calvo-Flores M. D. 2014. A fuzzy ontology for semantic modelling and recognition of human behaviour. Knowledge-Based Systems 66, 46–60.
Google Scholar
|
|
Sánchez D. & Tettamanzi A. G. B. 2005. Generalizing quantification in fuzzy description logic. Advances in Soft Computing 2, 397–411.
Google Scholar
|
|
Sánchez D. & Tettamanzi A. G. B. 2006. Reasoning and quantification in fuzzy description logics. In Proceedings of the 6th international conference on Fuzzy Logic and Applications, 81–88.
Google Scholar
|
|
Sanchez E. 2006. Fuzzy Logic and the Semantic Web. Elsevier.
Google Scholar
|
|
Schlobach S., Klein M. & Peelen L. 2007. Description logics with approximate definitions: precise modeling of vague concepts. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), 557–562. AAAI Press.
Google Scholar
|
|
Sezer E., Yazıcı A. & Yarımağan Ü. 2006. Semantic information retrieval on the web. In Proceedings of the 4th International Conference on Advances in Information Systems, ADVIS 2006, 158–167.
Google Scholar
|
|
Simou N., Athanasiadis T., Stoilos G. & Kollias S. 2008. Image indexing and retrieval using expressive fuzzy description logics. Signal, Image and Video Processing 2(4), 321–335.
Google Scholar
|
|
Singh A., Juneja D. & Sharma A. K. 2011. A fuzzy integrated ontology model to manage uncertainty in semantic web: the FIOM. International Journal on Computer Science and Engineering 3(3), 1057–1062.
Google Scholar
|
|
Singh S., Dey L. & Abulaish M. 2004. A framework for extending fuzzy description logic to ontology based document processing. In Proceedings of the AWIC 2004, 3034, 95–104.
Google Scholar
|
|
Smets P. 1997. Imperfect Information: Imprecision-Uncertainty, Uncertainty Management in Information Systems: From Needs to Solutions. Kluwer Academic Publishers.
Google Scholar
|
|
Smith M. K., Welty C. & McGuinness D. L. 2004. OWL web ontology language. W3C Recommendation. http://www.w3.org/TR/2004/REC-owl-guide-20040210/.
Google Scholar
|
|
Soo V. W. & Lin C. Y. 2001. Ontology-based information retrieval in a multi-agent system for digital library. In Proceedings of the 6th Conference on Artificial Intelligence and Applications, 241–246.
Google Scholar
|
|
Stasinos K. & Georgios A. 2007. Fuzzy-DL reasoning over unknown fuzzy degrees. In Proceedings of the 3rd International Workshop on Semantic Web and Web Semantics, 1312–1318.
Google Scholar
|
|
Stoilos G., Simous N., Stamou G. & Kollias S. 2006a. Uncertainty and the semantic web. IEEE Intelligent Systems 21(5), 84–87.
Google Scholar
|
|
Stoilos G. & Stamou G. 2007. Extending fuzzy description logics for the semantic web. In Proceedings of the 3rd International Workshop on OWL: Experiences and Directions (OWLED 2007).
Google Scholar
|
|
Stoilos G., Stamou G. & Kollias S. 2008a. Reasoning with qualified cardinality restrictions in fuzzy description logics. In Proceedings of the 17th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), 637–644. IEEE Computer Society.
Google Scholar
|
|
Stoilos G., Stamou G. & Pan J. Z. 2006b. Handling imprecise knowledge with fuzzy description logic. In Proceedings of the 2006 International Workshop on Description Logics.
Google Scholar
|
|
Stoilos G., Stamou G. & Pan J. Z. 2008b. Classifying fuzzy subsumption in fuzzy-EL+. In Proceedings of the 21st International Workshop on Description Logics (DL 2008).
Google Scholar
|
|
Stoilos G., Stamou G. & Pan J. Z. 2010. Fuzzy extensions of OWL: logical properties and reduction to fuzzy description logics. International Journal of Approximate Reasoning 51, 656–679.
Google Scholar
|
|
Stoilos G., Stamou G., Pan J. Z., Tzouvaras V. & Horrocks I. 2007. Reasoning with very expressive fuzzy description logics. Journal of Artificial Intelligence Research 30(8), 273–320.
Google Scholar
|
|
Stoilos G., Stamou G. & Tzouvaras V. 2005a. The fuzzy description logic f-SHIN. In Proceedings of the International Workshop on Uncertainty Reasoning for the Semantic Web, 67–76.
Google Scholar
|
|
Stoilos G., Stamou G. & Tzouvaras V. 2005b. A fuzzy description logic for multimedia knowledge representation. In Proceedings of the 2005 International Workshop on Multimedia and the Semantic Web.
Google Scholar
|
|
Stoilos G., Straccia U. & Stamou G. 2006c. General concept inclusions in fuzzy description logics. In Proceedings of the 17th European Conference on Artificial Intelligence, 457–461.
Google Scholar
|
|
Straccia U. 1998. A fuzzy description logic. In Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-98), 594–599.
Google Scholar
|
|
Straccia U. 2001. Reasoning within fuzzy description logics. Journal of Artificial Intelligence and Research 14(1), 137–166.
Google Scholar
|
|
Straccia U. 2004a. Transforming fuzzy description logics into classical description logics. In Proceedings of the 9th European Conference on Logics in Artificial Intelligence, 385–399.
Google Scholar
|
|
Straccia U. 2004b. Uncertainty in Description Logic Programs. Technical report ISTI-2004-TR-01, Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche.
Google Scholar
|
|
Straccia U. 2005a. Towards a fuzzy description logic for the semantic web. In Proceedings of the 2nd European Semantic Web Conference (ESWC 2005), 167–181.
Google Scholar
|
|
Straccia U. 2005b. Description logics with fuzzy concrete domains. In Proceedings of UAI-2005, 559–567.
Google Scholar
|
|
Straccia U. 2005c. Fuzzy ALC with fuzzy concrete domains. In Proceedings of the International Workshop on Description Logics (DL 2005), 96–103.
Google Scholar
|
|
Straccia U. 2005d. Fuzzy Description Logics with Concrete Domains. Technical report 2005-TR-03, Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche.
Google Scholar
|
|
Straccia U. 2006a. Uncertainty and description logic programs over lattices. In Capturing Intelligence: Fuzzy Logic and the Semantic Web, Sanchez, E. (ed.). Elsevier, 115–133.
Google Scholar
|
|
Straccia U. 2006b. Fuzzy description logic programs. In Proceedings of IPMU, 1818–1825.
Google Scholar
|
|
Straccia U. 2006c. Answering vague queries in fuzzy DL-Lite. In Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-06), 2238–2245.
Google Scholar
|
|
Straccia U. 2008. Managing uncertainty and vagueness in description logics, logic programs and description logic programs. In Reasoning Web, Baroglio, C., Bonatti, P. A., Małuszyński, J., Marchiori, M., Polleres, A. & Schaffert, S. (eds), LNCS 5224, 54–103, Springer Berlin Heidelberg.
Google Scholar
|
|
Straccia U. 2009a. SoftFacts: a top-k retrieval engine for a tractable description logic accessing relational databases. Technical report. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche.
Google Scholar
|
|
Straccia U. 2009b. A minimal deductive system for general fuzzy RDF. In RR 2009, LNCS 5837, 166–181, Springer Berlin Heidelberg.
Google Scholar
|
|
Straccia U. 2011. Fuzzy logic, annotation domains and semantic web languages. In Proceedings of International Conference on Scalable Uncertainty Management, SUM-2011, 2–21.
Google Scholar
|
|
Straccia U. & Visco G. 2007. DLMedia: an ontology mediated multimedia information retrieval system. In Proceedings of the International Workshop on Description Logics (DL 2007).
Google Scholar
|
|
Studer R., Benjamins R. & Fensel D. 1998. Knowledge engineering: principles and methods. Data & Knowledge Engineering 25(1–2), 161–198.
Google Scholar
|
|
Tafazzoli T. & Sadjadi S. H. 2008. Malware fuzzy ontology for semantic web. International Journal of Computer Science and Network Security 8, 153–161.
Google Scholar
|
|
Tamani N., Liétard L. & Rocacher D. 2013. A fuzzy ontology for database querying with bipolar preferences. International Journal of Intelligent Systems 28(1), 4–36.
Google Scholar
|
|
Todorov K., Hudelot C., Popescu A. & Geibel P. 2014. Fuzzy ontology alignment using background knowledge. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22(1), 75–112.
Google Scholar
|
|
Tommila T., Hirvonen J. & Pakonen A. 2010. Fuzzy ontologies for retrieval of industrial knowledge – a case study. VTT Working Papers, 1459–7683.
Google Scholar
|
|
Trappey A., Trappey C. V., Hsu F. & Hsiao D. W. 2009. A fuzzy ontological knowledge document clustering methodology. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 39(3), 806–814.
Google Scholar
|
|
Truong H. B., Nguyen N. T. & Nguyen P. K. 2011. Fuzzy ontology building and integration for fuzzy inference systems in weather forecast domain. In Intelligent Information and Database Systems, Nguyen, N. T., Kim, C. G. & Janiak, A. (eds). Springer Berlin Heidelberg 6591, 517–527.
Google Scholar
|
|
Truong H. B. & Quach X. H. 2014. An overview of fuzzy ontology integration methods based on consensus theory. In Advanced Computational Methods for Knowledge Engineering, Do, T. V., Le Thi, H. A. & Nguyen, N. T. (eds), Springer International Publishing, 217–227.
Google Scholar
|
|
Tsatsou D., Dasiopoulou S., Kompatsiaris I. & Mezaris V. 2014. LiFR: a lightweight fuzzy DL reasoner. In The Semantic Web: ESWC 2014 Satellite Events, 263–267.
Google Scholar
|
|
Valdés A. R., Espin Andrade R. A. & Marx-Gómez J. 2011. Compensatory fuzzy ontology. In Towards a Trans-Disciplinary Technology for Business Intelligence: Gathering Knowledge Discovery, Knowledge Management and Decision Making, Espin Andrade, R. A. & Marx Gómez, J. (eds). Racet Valdés, Ariel, 35–44.
Google Scholar
|
|
Vallet D., Fernández M., Castells P., Mylonas P. & Avrithis Y. 2006. Personalized information retrieval in context. In Proceedings of the 3rd International Workshop on Modeling and Retrieval of Context, 1–5.
Google Scholar
|
|
Vaneková V., Bella J., Gurský P. & Horváth T. 2005. Fuzzy RDF in the semantic web: deduction and induction. In Proceedings of Workshop on Data Analysis (WDA 2005), 16–29.
Google Scholar
|
|
Venetis T., Stoilos G., Stamou G. & Kollias S. 2007. f-DLPs: extending description logic programs with fuzzy sets and fuzzy logic. In Proceedings of FUZZ-IEEE-2007, 1–6.
Google Scholar
|
|
Vojtáš P. 2006. A fuzzy EL description logic with crisp roles and fuzzy aggregation for web consulting. In Information Processing and Management under Uncertainty (IPMU), 1834–1841.
Google Scholar
|
|
Vojtáš P. 2007. EL description logic with aggregation of user preference concepts. In Information Modeling and Knowledge Bases XVIII, Duží, M. et al. (eds), IOS, 154–165.
Google Scholar
|
|
Vrandeeie D. & Sure Y. 2007. How to design better ontology metrics. In Proceedings of ESWC, 311–325.
Google Scholar
|
|
Wallace M. & Avrithis Y. 2004. Fuzzy relational knowledge representation and context in the service of semantic information retrieval. In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Google Scholar
|
|
Wang H. L. & Ma Z. M. 2008. A decidable fuzzy description logic f-ALC(G). In Proceedings of the 19th International Conference on Database and Expert Systems Applications (DEXA 2008), 116–123.
Google Scholar
|
|
Wang H. L., Ma Z. M. & Ying J. 2009. FRESG: a kind of fuzzy description logic reasoner. In Proceedings of the 20th International Conference on Database and Expert Systems Applications (DEXA 2009), 443–450.
Google Scholar
|
|
Widyantoro D. H. & Yen J. 2001a. A fuzzy ontology-based abstract search engine and its user studies. In Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 1291–1294.
Google Scholar
|
|
Widyantoro D. H. & Yen J. 2001b. Using fuzzy ontology for query refinement in a personalized abstract search engine. In Proceedings of the Joint Ninth IFSA World Congress and 20th NAFIPS International Conference, 610–615.
Google Scholar
|
|
Wikström R. & Mezei J. 2015. Intrusion detection with type-2 fuzzy ontologies and similarity measures. In Intelligent Methods for Cyber Warfare, Yager, R. R., Reformat, M. Z. & Alajlan, N. (eds), Springer International Publishing, 151–172.
Google Scholar
|
|
Xu X. L., Wu Y. & Chen J. K. 2010. Fuzzy FCA based ontology mapping. In The First International Conference on Networking and Distributed Computing, 181–185.
Google Scholar
|
|
Yao Y. Y. 1998. A comparative study of fuzzy sets and rough sets. Information Sciences 109(1–4), 227–242.
Google Scholar
|
|
Yaguinuma C. A., Afonso G. F., Ferraz V., Borges S. & Santos M. T. P. 2010a. A fuzzy ontology-based semantic data integration system. In IEEE IRI, 207–212.
Google Scholar
|
|
Yaguinuma C. A., Santos M. T. P., Camargo H. A. & Nogueira T. M. 2010b. A meta-ontology approach for representing vague linguistic terms and fuzzy rules for classification in ontologies. In Proceedings of the 14th IEEE International Enterprise Distributed Object Computing Conference Workshops, 263–271.
Google Scholar
|
|
Yen J. 1991. Generalising term subsumption languages to fuzzy logic. In Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI-91), 472–477.
Google Scholar
|
|
Yeung C. & Leung H. 2006. Ontology with likeliness and typicality of objects in concepts. In ER 2006, LNCS 4215, 98–111, Springer Berlin Heidelberg.
Google Scholar
|
|
Yildirim Y., Yazici A. & Yilmaz T. 2013. Automatic semantic content extraction in videos using a fuzzy ontology and rule-based model. IEEE Transactions on Knowledge and Data Engineering 25(1), 47–61.
Google Scholar
|
|
Zadeh L. A. 1965. Fuzzy sets. Information and Control 8(3), 338–353.
Google Scholar
|
|
Zadeh L. A. 1975. The concept of a linguistic variable and its application to approximate reasoning-1. Information Sciences 8, 199–249.
Google Scholar
|
|
Zadeh L. A. 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1(1), 3–28.
Google Scholar
|
|
Zimmermann A. P. A., Lopes N. & Straccia U. 2011. A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data. Technical report, Computing Research Repository.
Google Scholar
|
|
Zhai J., Chen Y., Wang Q. & Lv M. 2008. Fuzzy ontology models using intuitionistic fuzzy set for knowledge sharing on the semantic web. In 12th International Conference on Computer Supported Cooperative Work in Design, 465–469.
Google Scholar
|
|
Zhai J., Shen L., Zhou Z. & Liang Y. 2007. Fuzzy ontology model for knowledge management. In Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering.
Google Scholar
|
|
Zhang F. & Ma Z. M. 2013. Construction of fuzzy ontologies from fuzzy UML models. International Journal of Computational Intelligence Systems 6(3), 442–472.
Google Scholar
|
|
Zhang F., Ma Z. M. & Chen X. 2015. Formalizing fuzzy object-oriented database models using fuzzy ontologies. Journal of Intelligent and Fuzzy Systems 29(4), 1–14.
Google Scholar
|
|
Zhang F., Ma Z. M., Lv Y. & Wang X. 2008a. Formal semantics-preserving translation from fuzzy ER model to fuzzy OWL DL ontology. In Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2008), 503–509.
Google Scholar
|
|
Zhang F., Ma Z. M., Wang H. & Meng X. 2008b. A formal semantics-preserving translation from fuzzy relational database schema to fuzzy OWL DL ontology. In Proceedings of the 3rd Asian Semantic Web Conference on the Semantic Web (ASWC 2008), 46–60.
Google Scholar
|
|
Zhang F., Ma Z. M. & Yan L. 2008c. Representation and reasoning of fuzzy ER model with description logic. In Proceedings of the 17th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), 1358–1365. IEEE Computer Society.
Google Scholar
|
|
Zhang F., Ma Z. M. & Yan L. 2013a. Construction of fuzzy ontologies from fuzzy XML models. Knowledge-Based Systems 42, 20–39.
Google Scholar
|
|
Zhang F., Ma Z. M., Yan L. & Cheng J. 2011a. Storing fuzzy ontology in fuzzy relational database. In Proceedings of the 22nd International Conference on Database and Expert Systems Applications (DEXA 2011), 447–455.
Google Scholar
|
|
Zhang F., Ma Z. M., Yan L. & Cheng J. 2013b. Construction of fuzzy OWL ontologies from fuzzy EER models: a semantics-preserving approach. Fuzzy Sets and Systems 229, 1–32.
Google Scholar
|
|
Zhang F., Ma Z. M., Yan L. & Wang Y. 2011b. A description logic approach for representing and reasoning on fuzzy object-oriented database models. Fuzzy Sets and Systems 186(1), 1–25.
Google Scholar
|
|
Zhao Y., Wang X. & Halang W. A. 2007. Ontology mapping techniques in information integration. In Adaptive Technologies and Business Integration: Social Managerial and Organizational Dimensions, Cruz-Cunha, M., Conceicao Cortes, B. & Putnik, G. (eds). IGI Global, 306–326.
Google Scholar
|
|
Zhou L., Zhang L., Chen J., Xie Q., Ding Q. & Sun Z. X. 2006. The application of fuzzy ontology in design management. In Proceedings of the 2006 International Conference on Artificial Intelligence IC-AI, 278–282.
Google Scholar
|
