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Reseach Article

Aligning Controlled Vocabularies using a Facet based approach for facilitating the Linked Open Data

by Ahsan Morshed, Md. Saddam Hossain Mukta, Bayzid Ashik Hossain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 11
Year of Publication: 2012
Authors: Ahsan Morshed, Md. Saddam Hossain Mukta, Bayzid Ashik Hossain
10.5120/9324-3627

Ahsan Morshed, Md. Saddam Hossain Mukta, Bayzid Ashik Hossain . Aligning Controlled Vocabularies using a Facet based approach for facilitating the Linked Open Data. International Journal of Computer Applications. 58, 11 ( November 2012), 6-12. DOI=10.5120/9324-3627

@article{ 10.5120/9324-3627,
author = { Ahsan Morshed, Md. Saddam Hossain Mukta, Bayzid Ashik Hossain },
title = { Aligning Controlled Vocabularies using a Facet based approach for facilitating the Linked Open Data },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 11 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number11/9324-3627/ },
doi = { 10.5120/9324-3627 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:10.089606+05:30
%A Ahsan Morshed
%A Md. Saddam Hossain Mukta
%A Bayzid Ashik Hossain
%T Aligning Controlled Vocabularies using a Facet based approach for facilitating the Linked Open Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 11
%P 6-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A vocabulary stores words, synonyms, word sense definitions (i. e. glosses), relations between word senses and concepts; such a vocab¬ulary is generally referred 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, on¬tology or controlled vocabulary to be viewed or ordered in multiple ways, rather than in a distinct way. The facet is also clearly defined, mutually exclusive, and composed by collectively exhaustive aspects, properties or characteristics of a domain. For example, a collection of rice might be rep¬resented using a name facet, place facet etc. In this paper an approach has been proposed where a facet has built for each concept by considering more general concepts (broader terms), less general concepts (narrow terms) or related concepts (related terms) that is to be called concept facet (CF). These CF's have been used for mapping two controlled vocabularies. This methodology is based on hidden semantic matching which is different from the orthodox view of matching. Finally the aim is to contribute in alignment of controlled vocabulary to enrich the Linked Data version of AGROVOC with appropriate links to other thesauri.

References
  1. A. Morshed and M. Sini. Creating and aligning controlled vocabularies. In Advance Technology for Digital Libraries,AT4DL,Trento, Italy, 2009.
  2. Bhattachary. G. Popsi:its foundamentals and procedure based on a general theory of subject indexing language. In Libary Science with a slant to Documentation, volume 16, pages 1–34, 1979.
  3. P. Bouquet, L. Sera?ni, 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.
  4. D AGROVOC concept server. http://naist. cpe. ku. ac. th/agrovoc/.
  5. P. Shvaiko F. Giunchiglia and M. Yatskevich. Discovering missing background knowledge in onology matching. In 17th European Conference on Artificial Intel-ligance (ECAI 2006), volume 141, pages 382–386, 2006.
  6. M. Marchese F. Giunchiglia and I. Zaihrayeu. Encoding classi?cations into lightweight ontologies. Data Semantics VIII, pages 57–81, 2007.
  7. F. Giunchiglia, B. Dutta, and V. Maltese. Faceted lightweight ontologies. In LNCS, 2009.
  8. F. Giunchiglia, P. Shvaiko, and M. Yatskevich. S-match: An algorithm and an implementation of semantic matching. In Proceedings of ESWS'04, 2004.
  9. F. Giunchiglia and I. Zaihrayeu. Lighweight ontologies. Technical report at DIT, the University of Trento, Italy, October 2007.
  10. J. Euzenate and P. Shaviko. Ontology Matching. Springer, 1st edition, 2007.
  11. 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 fifth 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.
  12. Bernardo Magnini, Luciano Sera?ni, 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.
  13. Natalya F. Noy. Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. , 33(4):65–70, 2004
  14. S. R Ranganathan. Element of library classification. Asia Publishing house.
  15. S. R Ranganathan. Prolegomena to library classification. Asia Publishing house.
  16. Agrovoc thesaurus. http://www. fao. org/agrovoc
  17. CABI thesaurus. http://www. cabi. org/.
  18. Duncan J. Watts and Steven H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393:440–442, 1998.
  19. L. Finch H. Kolb W. Hage, M. Sini and G. Schreiber. The oaei food task:an analysis of a thesaurus alignment task.
  20. 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.
  21. Ahsan Morshed, Caterina Caracciolo, Gudrun Johannsen, Johannes Keizer. Thesaurus Alignment for Linked Data Publishing. Proc. Int'l Conf. on Dublin Core and Metadata Applications 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Facet thesauri controlled vocabulary AGROVOC CABI