The role of ontology in enhancing semantic searches: the EvOQS framework and its initial validation

International Journal of Knowledge and Learning

Volumn 4, Issue 4, 2008, Pages 398-414

  Strasunskas, Darijus ^a   Tomassen, Stein L ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

information retrieval; ontology application; ontology quality; quality framework; semantic search

Indexed keywords

EID: 70349961003     PISSN: 17411009     EISSN: 17411017     Source Type: Journal    
DOI: 10.1504/IJKL.2008.022059     Document Type: Article

References (36)

1. Aitken, S. and Reid, S. (2000) ‘Evaluation of an ontology-based information retrieval tool’, in A. Gomez-Perez et al. (Eds.) Workshop on the Applications of Ontologies and Problem-Solving Methods, ECAI 2000, Berlin.
2. Alani, H., Brewster, C. and Shadbolt, N. (2006) ‘Ranking ontologies with AKTiveRank’, ISWC 2006, Springer-Verlag, LNCS 4273, pp.1–15.
3. Aula, A. (2003) ‘Query formulation in web information search’, Proceedings of IADIS Int. Conf. WWW/Internet, IADIS, pp.403–410.
4. Bergamaschi, S., Bouquet, P., Giazomuzzi, D., Guerra, F., Po, L. and Vincini, M. (2007) ‘An incremental method for the lexical annotation of domain ontologies’, Int. J. on Semantic Web and Information Systems, Vol. 3, No. 3, pp.57–80.
5. Brasethvik, T. (2004) ‘Conceptual modelling for domain specific document description and retrieval – an approach to semantic document modelling’, PhD thesis, NTNU, Trondheim, Norway.
6. Brewster, C., Alani, H., Dasmahapatra, S. and Wilks, Y. (2004) ‘Data driven ontology evaluation’, Proceedings of Int. Conf. on Language Resources and Evaluation, Lisbon, Portugal.
7. Bry, F., Koch, C., Furche, T., Schaffert, S., Badea, L. and Berger, S. (2005) ‘Querying the web reconsidered: design principles for versatile web query languages’, Int. J. on Semantic Web and Information Systems, Vol. 1, No. 2, pp.1–21.
8. Buitelaar, P., Eigner, T. and Declerck, T. (2004) ‘OntoSelect: a dynamic ontology library with support for ontology selection’, Proceedings of the Demo Session at ISWC 2004, Hiroshima, Japan.
9. Burton-Jones, A., Storey, V., Sugumaran, V. and Ahluwalia, P. (2005) ‘A semiotic metrics suite for assessing the quality of ontologies’, Data and Knowledge Engineering, Vol. 55, No. 1, pp.84–102.
10. Castells, P., Fernandez, M. and Vallet, D. (2007) ‘An adaptation of the vector-space model for ontology-based information retrieval’, IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 2, pp.261–272.
11. Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V. and Sachs, J. (2004) ‘Swoggle: a search and metadata engine for the semantic web’, Proceedings of CIKM 2004, ACM Press, pp.652–659.
12. Gangemi, A., Catenacci, C., Ciaramita, M. and Lehmann, J. (2005) ‘Ontology evaluation and validation. An integrated formal model for the quality diagnostic task’, Technical report, ISTC-CNR, Trento, Italy.
13. Giboin, A., Gandon, F., Corby, O. and Dieng, R. (2002) ‘Assessment of ontology-based tools: a step towards systemizing the scenario approach’, EON2002 Workshop.
14. Gulla, J., Borch, H. and Ingvaldsen, J. (2007) ‘Ontology learning for search applications’, ODBASE 2007, Springer-Verlag, LNCS 4803, pp.1050–1062.
15. Hu, B., Dasmahapatra, S. and Lewis, P. (2007) ‘Semantic metrics’, Int. J. Metadata, Semantics and Ontologies, Vol. 2, No. 4, pp.242–258.
16. Kalfoglou, Y. (2007) ‘Knowledge society arguments revisited in the semantic technologies era’, Int. J. Knowledge and Learning, Vol. 3, Nos. 2-3, pp.225–244.
17. Kiryakov, A., Popov, B., Terziev, I., Manov, D. and Ognyanoff, D. (2004) ‘Semantic annotation, indexing, and retrieval’, Journal of Web Semantics, Vol. 2, No. 1, pp.49–79.
18. Lozano-Tello, A. and Gomez-Perez, A. (2004) ‘Ontometric: a method to choose appropriate ontology’, Journal of Database Management, Vol. 15, No. 2, pp.1–18.
19. Lytras, M.D. and Sicilia, M-A. (2007) ‘Where is the value in metadata?’, Int. J. Metadata, Semantics and Ontologies, Vol. 2, No. 4, pp.235–241.
20. Mangold, C. (2007) ‘A survey and classification of semantic search approaches’, Int. J. Metadata, Semantics and Ontologies, Vol. 2, No. 1, pp.23–34.
21. Nagypal, G. (2007) ‘Possibly imperfect ontologies for effective information retrieval’, PhD thesis, University of Karlsruhe.
22. Panagis, Y., Sakkopoulos, E., Garofalakis, J. and Tsakalidis, A. (2006) ‘Optimisation mechanism for web search results using topic knowledge’, Int. J. Knowledge and Learning, Vol. 2, Nos. 1-2, pp.140–153.
23. Paralic, J. and Kostial, I. (2003) ‘Ontology-based information retrieval’, Proceedings of the 14th Intl. Conf. on Information and Intelligent systems (IIS 2003), Varazdin, Croatia, pp.23–28.
24. Patel, C., Supekar, K., Lee, Y. and Park, E. (2003) ‘OntoKhoj: a semantic web portal for ontology searching, ranking and classification’, Proceedings of the Workshop on Web Information and Data Management, ACM Press, pp.58–61.
25. Rocha, C., Schwabe, D. and de Aragao, M. (2004) ‘A hybrid approach for searching in the semantic web’, Proceedings of WWW 2004, ACM Press, pp.374–383.
26. Song, J.F., Zhang, W.M., Xiao, W., Li, G.H. and Xu, Z.N. (2005) ‘Ontology-based information retrieval model for the semantic web’, EEE 2005, IEEE Computer Society, pp.152–155.
27. Spyns, P. and Reinberger, M.L. (2005) ‘Lexically evaluating ontology triples generated automatically from texts’, Proceedings of ESWC 2005, Springer-Verlag, LNCS 3532, pp.563–577.
28. Strasunskas, D. and Tomassen, S. (2007) ‘Web search tailored ontology evaluation framework’, Advances in Web and Network Technologies, and Information Management, Springer-Verlag, LNCS 4537, pp.372–383.
29. Suomela, S. and Kekalainen, J. (2005) ‘Ontology as a search-tool: a study of real user’s query formulation with and without conceptual support’, Proceedings of ECIR’2005, Springer-Verlag, LNCS 3408, pp.315–329.
30. Tartir, S., Arpinar, I., Moore, M., Sheth, A. and Aleman-Meza, B. (2005) ‘OntoQA: metric-based ontology quality analysis’, IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources, Houston, TX: IEEE Computer Society, pp.45–53.
31. Tomassen, S.L. (2008) ‘Searching with document space adapted ontologies’, in M.D. Lytras et al. (Eds.) Emerging Technologies and Information Systems for the Knowledge Society (First World Summit on the Knowledge Society, WSKS 2008, Springer-Verlag, LNAI 5288, pp.513–522.
32. Yang, H-C. (2006) ‘A method for automatic construction of learning contents in semantic web by a text mining approach’, Int. J. Knowledge and Learning, Vol. 2, Nos. 1-2, pp.89–105.
33. http://www.w3.org/TR/2004/REC-owl-guide-20040210/#OwlVarieties
34. See Equations (2), (4), (5) and (6).
35. http://owlapi.sourceforge.net/
36. Prototype of WebOdIR, http://129.241.110.220.