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2015 Volume 30
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RESEARCH ARTICLE   Open Access    

Distributed aggregation of heterogeneous Web-based Fine Art Information: enabling multi-source accessibility and curation

  • 1.

    School of Computing

  • 2.

    Cloud Competency Centre

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  • Abstract: The sources of information on the Web relating to Fine Art and in particular to Fine Artists are numerous, heterogeneous and distributed. Data relating to the biographies of an artist, images of their artworks, location of the artworks and exhibition reviews invariably reside in distinct and seemingly unrelated, or at least unlinked, sources. While communication and exchange exists, there is a great deal of independence between major repositories, such as museum, often owing to their ownership or heritage. This increases the individuality in the repository’s own processes and dissemination. It is currently necessary to browse through numerous different websites to obtain information about any one artist, and at this time there is little aggregation of Fine Art Information. This is in contrast to the domain of books and music, where the aggregation and re-grouping of information (usually by author or artist/band name) has become the norm. A Museum API (Application Programming Interface), however, is a tool that can facilitate a similar information service for the domain of Fine Art, by allowing the retrieval and aggregation of Web-based Fine Art Information, whilst at the same time increasing public access to the content of a museum’s collection. In this paper, we present the case for a pragmatic solution to the problems of heterogeneity and distribution of Fine Art Data and this is the first step towards the comprehensive re-presentation of Fine Art Information in a more ‘artist-centric’ way, via accessible Web applications. This paper examines the domain of Fine Art Information on the Web, putting forward the case for more Web services such as generic Museum APIs, highlighting this via a prototype Web application known as the ArtBridge. The generic Museum API is the standardisation mechanism to enable interfacing with specific Museum APIs.
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  • Artz D. & Gil Y.2007. A survey of trust in computer science and the Semantic Web. Web Semantics: Science, Services and Agents on the World Wide Web5(2), 58–71.

    Google Scholar

    Ayers D. & Watt A.2005. Beginning RSS and Atom Programming. ISBN: 978-0-7645-7916-5. Wiley.

    Google Scholar

    Baca M. (ed.) 2002. Introduction to Art Image Access: Tools, Standards, and Strategies. ISBN: 0892366664. Getty Research Institute.

    Google Scholar

    Baca M. (ed.) 2008. Introduction to Metadata, 2nd edition. ISBN: 0892368969. Getty Research Institute.

    Google Scholar

    Baeza-Yates R.2003. Information retrieval in the web: beyond current search engines. International Journal of Approximate Reasoning34(2–3), 97–104.

    Google Scholar

    Bell G.2009. Building Social Web Applications. ISBN: 0596518757. O’Reilly Media.

    Google Scholar

    Buchanan F., Capanni N. & González-Vélez H.2011. Fine artists of the world unite: bridging heterogeneous distributed open data sources of fine art. In i-Society 2011. IEEE, 224–229.

    Google Scholar

    Cahill K.2009. Building a virtual branch at Vancouver Public Library using Web 2.0 tools. Program: Electronic Library and Information Systems43, 140–155.

    Google Scholar

    Dyson M. C. & Moran K.2000. Informing the design of web interfaces to museum collections. Museum Management and Curatorship18, 391–406.

    Google Scholar

    Fry B. (ed.) 2007. Visualizing Data: Exploring and Explaining Data with the Processing Environment. ISBN: 978-0596514556. O’Reilly Media.

    Google Scholar

    Haslhofer B., Momeni E., Gay M. & Simon R.2010. Augmenting Europeana content with linked data resources. In I-SEMANTICS’10. ACM, 40:1–40:3.

    Google Scholar

    Henzinger M.2001. Hyperlink analysis for the web. IEEE Internet Computing5(1), 45–50.

    Google Scholar

    Hertzum M.1998. A review of museum web sites: in search of user-centred design. Archives and Museum Informatics12, 127–138.

    Google Scholar

    Kobilarov G., Scott T., Raimond Y., Oliver S., Sizemore C., Smethurst M., Bizer C. & Lee R.2009. Media meets semantic web: how the BBC uses DBpedia and linked data to make connections. In The Semantic Web: Research and Applications. LNCS 5554, 723–737. Springer Verlag.

    Google Scholar

    Manning C. D., Raghavan P. & Schtze H. (eds) 2009. Introduction to Information Retrieval. ISBN: 0521865719. Cambridge University Press.

    Google Scholar

    Mayfield J.2002. Ontologies and text retrieval. The Knowledge Engineering Review17(1), 71–75.

    Google Scholar

    Meng W., Yu C. & Liu K.-L.2002. Building efficient and effective metasearch engines. ACM Computing Surveys34(1), 48–89.

    Google Scholar

    Merrill D.2006. Mashups: the new breed of web app. IBM Web Architecture Technical Library, 1–13.

    Google Scholar

    Moreau L., Groth P., Miles S., Vazquez-Salceda J., Ibbotson J., Jiang S., Munroe S., Rana O., Schreiber A., Tan V. & Varga L.2008. The provenance of electronic data. Communications of the ACM51(4), 52–58.

    Google Scholar

    O’Reilly T.2007. What is Web 2.0: design patterns and business models for the next generation of software. Communications & Strategies1, 1–17. http://ssrn.com/abstract=1008839.

    Google Scholar

    Proskine E. A.2006. Google’s technicolor dreamcoat: a copyright analysis of the Google Book search library project. Berkeley Technology Law Journal21(1), 213–240.

    Google Scholar

    Rogers S.2009. The world in active nuclear weapons, The Guardian, 6 July. http://www.guardian.co.uk/news/datablog/2009/apr/06/north-korea-nuclear-weapons. Accessed 21 May 2012.

    Google Scholar

    Rusbridger A.2009. Free the facts: the Guardian’s editor-in-chief on why open data matters, The Guardian, 10 March 2009. www.guardian.co.uk/news/datablog/2009/mar/10/1. Accessed 23 April 2012.

    Google Scholar

    Schweibenz W.1998. The ‘virtual museum’: new perspectives for museums to present objects and information using the internet as a knowledge base and communication system. In ISI. ISBN: 3-87940-653-7. Schriften zur Informationswissenschaft34, 185–200. Hochschulverband für Informationswissenschaft.

    Google Scholar

    Shirky C.2010. Cognitive Surplus: Creativity and Generosity in a Connected Age. ISBN: 1846142172. Penguin Books.

    Google Scholar

    Snásel V., Abraham A., Owais S., Platos J. & Krömer P.2009. Optimizing information retrieval using evolutionary algorithms and fuzzy inference system. In Foundations of Computational Intelligence. Studies in Computational Intelligence 204, 299–324. Springer Verlag.

    Google Scholar

    Uren V., Lei Y., Lopez V., Liu H., Motta E. & Giordanino M.2007. The usability of semantic search tools: a review. The Knowledge Engineering Review22(4), 361–377.

    Google Scholar

    Wagner H. & Weibel S.2005. The Dublin Core Metadata Registry: requirements, implementation, and experience. Journal of Digital Information6(2), 1–20.

    Google Scholar

    Weibel S.1997. The Dublin Core: a simple content description model for electronic resources. Bulletin of the American Society for Information Science and Technology24(1), 9–11.

    Google Scholar

  • Cite this article

    Frances Buchanan, Niccolo Capanni, Horacio González-Vélez. 2015. Distributed aggregation of heterogeneous Web-based Fine Art Information: enabling multi-source accessibility and curation. The Knowledge Engineering Review 30(2)220−236, doi: 10.1017/S0269888914000319
    Frances Buchanan, Niccolo Capanni, Horacio González-Vélez. 2015. Distributed aggregation of heterogeneous Web-based Fine Art Information: enabling multi-source accessibility and curation. The Knowledge Engineering Review 30(2)220−236, doi: 10.1017/S0269888914000319
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RESEARCH ARTICLE   Open Access    

Distributed aggregation of heterogeneous Web-based Fine Art Information: enabling multi-source accessibility and curation

  • 1.

    School of Computing

  • 2.

    Cloud Competency Centre

  • Published online: 25 March 2015
The Knowledge Engineering Review  30,  2015, 30(2): 220−236  |  Cite this article

Abstract: Abstract: The sources of information on the Web relating to Fine Art and in particular to Fine Artists are numerous, heterogeneous and distributed. Data relating to the biographies of an artist, images of their artworks, location of the artworks and exhibition reviews invariably reside in distinct and seemingly unrelated, or at least unlinked, sources. While communication and exchange exists, there is a great deal of independence between major repositories, such as museum, often owing to their ownership or heritage. This increases the individuality in the repository’s own processes and dissemination. It is currently necessary to browse through numerous different websites to obtain information about any one artist, and at this time there is little aggregation of Fine Art Information. This is in contrast to the domain of books and music, where the aggregation and re-grouping of information (usually by author or artist/band name) has become the norm. A Museum API (Application Programming Interface), however, is a tool that can facilitate a similar information service for the domain of Fine Art, by allowing the retrieval and aggregation of Web-based Fine Art Information, whilst at the same time increasing public access to the content of a museum’s collection. In this paper, we present the case for a pragmatic solution to the problems of heterogeneity and distribution of Fine Art Data and this is the first step towards the comprehensive re-presentation of Fine Art Information in a more ‘artist-centric’ way, via accessible Web applications. This paper examines the domain of Fine Art Information on the Web, putting forward the case for more Web services such as generic Museum APIs, highlighting this via a prototype Web application known as the ArtBridge. The generic Museum API is the standardisation mechanism to enable interfacing with specific Museum APIs.

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    Acknowledgments

    • This research was partly supported by a Scott Trust Technology Bursary. The authors acknowledge use of the services and facilities of the School of Computing at the Robert Gordon University.

    • Available at http://www.getty.edu/research/publications/electronic-publications/cdwa/cdwalite.html

    • Available at http://www.nyartbeat.com/resources/doc/api

    • In conversation in London, July 2010 at The Guardian offices, Kings Place, London.

    • The Dashboard can be found at www.wheredoesmymoneygo.org/bubbletree-map.html#/~/grand-total--2010-

    • http://www.librarything.com/

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    Cite this article
    Frances Buchanan, Niccolo Capanni, Horacio González-Vélez. 2015. Distributed aggregation of heterogeneous Web-based Fine Art Information: enabling multi-source accessibility and curation. The Knowledge Engineering Review 30(2)220−236, doi: 10.1017/S0269888914000319
    Frances Buchanan, Niccolo Capanni, Horacio González-Vélez. 2015. Distributed aggregation of heterogeneous Web-based Fine Art Information: enabling multi-source accessibility and curation. The Knowledge Engineering Review 30(2)220−236, doi: 10.1017/S0269888914000319
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