Aligning controlled vocabularies using faceted based approach

Morshed, Ahsan-ul and Sini, Margherita and Keizer, Johannes Aligning controlled vocabularies using faceted based approach., 2009 [Preprint]

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English abstract

A vocabulary stores words, synonyms, word sense definitions (i.e. glosses), relations between word senses and concepts; such a vocabulary is generally referred to as the Controlled Vocabulary (CV) if choice or selections of terms are done by domain specialists. A facet is a distinct and dimensional feature of a concept or a term that allows taxonomy, ontology or controlled vocabulary to be viewed or ordered in multiple ways, rather than in a single way. The facet is also clearly de¯ned, mutually exclusive, and composed by collectively exhaustive aspects, properties or characteristics of a domain. For example, a collection of rice might be represented using a name facet, place facet etc. In our case, we build a facet for each concept considering more general concepts (broader terms), less general concepts (narrow terms) or related concepts (related terms) that is to be called concept facet (CF). We use these CF's for mapping two controlled vocabularies. This methodology is based on hidden semantic matching which is diferent from the orthodox view of matching.

Item type: Preprint
Keywords: Vocabulary Mapping, Thesaurus, AGROVOC, FAO, AIMS, FAOAIMS,
Subjects: I. Information treatment for information services > ID. Knowledge representation.
Depositing user: Ciro Llueca
Date deposited: 10 May 2011
Last modified: 02 Oct 2014 12:19
URI: http://hdl.handle.net/10760/15640

References

"SEEK" links will first look for possible matches inside E-LIS and query Google Scholar if no results are found.

A.Morshed and M.Sini. Creating and aligning controlled vocabularies. In Advance Technology for Digital Libraries,AT4DL,Trento, Italy, 2009.

Bhattachary.G. Popsi: its foundamentals and procedure based on a general theory of subject indexing

language. In Library Science with a slant to Documentation, volume 16, pages 1{34, 1979.

P. Bouquet, L. Serafini, and S. Zanobini. Semantic coordination: a new approach and an application. In

Proc. of the 2nd International Semantic Web Conference (ISWO'03). Sanibel Islands, Florida, USA,

October 2003.

P. Shvaiko F. Giunchiglia and M. Yatskevich. Discovering missing background knowledge in onology

matching. In 17th European Conference on Artificial Intelligence (ECAI 2006), volume 141, pages 382{386,2006.

M.Marchese F.Giunchiglia and I.Zaihrayeu. Encoding classifications into lightweight ontologies. Data

Semantics VIII, pages 57{81, 2007.

F. Giunchiglia, B.Dutta, and V.Maltese. Faceted lightweight ontologies. In LNCS, 2009.

F. Giunchiglia, P. Shvaiko, and M. Yatskevich. S-match: An algorithm and an implementation of semantic matching. In Proceedings of ESWS'04, 2004.

F. Giunchiglia and I. Zaihrayeu. Lighweight ontologies. Technical report at DIT, the University of Trento, Italy, October 2007.

J.Euzenate and P.Shaviko. Ontology Matching. Springer, 1st edition, 2007.

Sini M. Chang C. Li S. Lu W. He C. Liang, A. And J. Keizer. The mapping schema from chinese agricultural thesaurus to agrovoc. In Proceedings of the 5fth Conference of the European Federation for

Information Technology in Agriculture, Food and Environment and the thirdWorld Congress on

Computers in Agriculture and Natural Resources, 2005.

Bernardo Magnini, Luciano Serafini, and Manuela Speranza. Making explicit the semantics hidden in

schema models. In: Proceedings of the Workshop on Human Language Technology for the Semantic Web

and Web Services, held at ISWC-2003, Sanibel Island, Florida, October 2003.

Natalya F. Noy. Semantic integration: a survey of ontology-based approaches. SIGMOD Rec., 33(4):65{70, 2004.

S.R Ranganathan. Element of library classification. Asia Publishing house.

S.R Ranganathan. Prolegomena to library classification. Asia Publishing house.

Duncan J. Watts and Steven H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393:440{442, 1998.

L.Finch H. Kolb W.Hage, M.Sini and G.Schreiber. The oaei food task: an analysis of a thesaurus alignment task.

I. Zaihrayeu, L. Sun, F. Giunchiglia, W. Pan, Q. Ju, M. Chi, and X. Huang. From web directories to ontologies: Natural language processing challenges. In ISWC/ASWC, 2007.


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