Abstract
Retrieval of correct and precise information at the right time is essential in knowledge intensive tasks requiring quick decision-making. In this paper, we propose a method for utilizing ontologies to enhance the quality of information retrieval (IR) by query enrichment. We explain how a retrieval system can be tuned by adapting ontologies to provide both an in-depth understanding of the user’s needs as well as an easy integration with standard vector-space retrieval systems. The ontology concepts are adapted to the domain terminology by computing a feature vector for each concept. The feature vector is used to enrich a provided query. The ontology and the whole retrieval system are under development as part of a Semantic Web standardization project for the Norwegian oil and gas industry.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aas, K., Eikvil, L.: Text categorisation: a survey. Technical report, no. 941. Norwegian Computing Center, Oslo, 37 p. (1999)
Grootjen, F.A., van der Weide, T.P.: Conceptual query expansion. Data & Knowledge Engineering 56, 174–193 (2006)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. ACM Press, New York (1999)
Braga, R.M.M., Werner, C.M.L., Mattoso, M.: Using Ontologies for Domain Information Retrieval. In: Proceedings of the 11th International Workshop on Database and Expert Systems Applications, pp. 836–840. IEEE Computer Society Press, Los Alamitos (2000)
Rocha, C., Schwabe, D., de Aragao, M.P.: A hybrid approach for searching in the semantic web. In: Proceeding of WWW 2004, pp. 374–383. ACM Press, New York (2004)
Ciorăscu, C., Ciorăscu, I., Stoffel, K.: knOWLer - Ontological Support for Information Retrieval Systems. In: Proceedings of Sigir 2003 Conference, Workshop on Semantic Web, Toronto, Canada (2003)
Borghoff, U.M., Pareschi, R.: Information Technology for Knowledge Management. Journal of Universal Computer Science 3, 835–842 (1997)
Desmontils, E., Jacquin, C.: Indexing a Web Site with a Terminology Oriented Ontology. In: Cruz, I.F., Decker, S., Euzenat, J., McGuinness, D.L. (eds.) The Emerging Semantic Web, pp. 181–198. IOS Press, Amsterdam (2002)
Gulla, J.A., Auran, P.G., Risvik, K.M.: Linguistic Techniques in Large-Scale Search Engines. Fast Search & Transfer, 15 p. (2002)
Mitchell, T.M.: Machine learning. McGraw-Hill, New York (1997)
Spink, A., Wolfram, D., Jansen, M.B.J., Saracevic, T.: Searching the Web: the public and their queries. J. Am. Soc. Inf. Sci. Technol. 52, 226–234 (2001)
Motta, E., Shum, S.B., Domingue, J.: Case Studies in Ontology-Driven Document Enrichment: Principles, Tools and Applications. International Journal of Human-Computer Studies 6, 1071–1109 (2000)
Popov, B., Kiryakov, A., Kirilov, A., Manov, D., Ognyanoff, D., Goranov, M.: KIM – Semantic Annotation Platform. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 834–849. Springer, Heidelberg (2003)
Sandsmark, N., Mehta, S.: Integrated Information Platform for Reservoir and Subsea Production Systems, 9 p. (2004)
Shah, U., Finin, T., Joshi, A., Cost, R.S., Mayfield, J.: Information Retrieval On The Semantic Web. In: Proceedings of Conference on Information and Knowledge Management, pp. 461–468. ACM Press, McLean (2002)
Sullivan, D.: Death of a Meta Tag. Search Engine Watch (2002)
Song, J.-F., Zhang, W.-M., Xiao, W., Li, G.-H., Xu, Z.-N.: Ontology-Based Information Retrieval Model for the Semantic Web. In: Proceedings of EEE 2005, pp. 152–155. IEEE Computer Society Press, Los Alamitos (2005)
Nagypál, G.: Improving Information Retrieval Effectiveness by Using Domain Knowledge Stored in Ontologies. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM-WS 2005. LNCS, vol. 3762, pp. 780–789. Springer, Heidelberg (2005)
Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D.: Semantic Annotation, Indexing, and Retrieval. Journal of Web Semantics 2(1) (2005)
Vallet, D., Fernández, M., Castells, P.: An Ontology-Based Information Retrieval Model. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 455–470. Springer, Heidelberg (2005)
Chenggang, W., Wenpin, J., Qijia, T., et al.: An information retrieval server based on ontology and multiagent. Journal of computer research & development 38(6), 641–647 (2001)
DNV: Tyrihans Terminology for Subsea Equipment and Subsea Production Data. DNV, 60 p. (2005)
Fensel, D., Harmelen, F.v., Klein, M., Akkermans, H., Broekstra, J., Fluit, C., Meer, J.v.d., Schnurr, H.-P., Studer, R., Hughes, J., Krohn, U., Davies, J., Engels, R., Bremdal, B., Ygge, F., Lau, T., Novotny, B., Reimer, U., Horrocks, I.: On-To-Knowledge: Ontology-based Tools for Knowledge Management. In: Fensel, D., Harmelen, F. (eds.) Proceedings of the eBusiness and eWork 2000 (EMMSEC 2000) Conference, Madrid, Spain (2000)
Qiu, Y., Frei, H.-P.: Concept based query expansion. In: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 160–169. ACM Press, Pittsburgh (1993)
Paralic, J., Kostial, I.: Ontology-based Information Retrieval. Information and Intelligent Systems, 23–28 (2003)
Chang, Y., Ounis, I., Kim, M.: Query reformulation using automatically generated query concepts from a document space. Information Processing and Management 42, 453–468 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tomassen, S.L., Gulla, J.A., Strasunskas, D. (2006). Document Space Adapted Ontology: Application in Query Enrichment. In: Kop, C., Fliedl, G., Mayr, H.C., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2006. Lecture Notes in Computer Science, vol 3999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11765448_5
Download citation
DOI: https://doi.org/10.1007/11765448_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34616-6
Online ISBN: 978-3-540-34617-3
eBook Packages: Computer ScienceComputer Science (R0)