Abstract
This paper proposes an information system, which aims to bridge the semantic gap in web search. The system uses multiple domain ontological structures expanding the user’s query with semantically related concepts, enhancing in parallel the quality of retrieval to a large extend. Query analyzers broaden the user’s information needs from classical term-based to conceptually representations, using knowledge from relevant ontologies and theirs’ properties. Besides the use of semantics, the system employs machine learning techniques from the field of swarm intelligence through the Ant Colony algorithm, where ants are considered as web agents capable of collecting and processing relevant information. Furthermore, the effectiveness of the approach is verified experimentally, by observing that the retrieval precision for the enhanced queries is in higher levels, in comparison with the results derived from the classical term-based retrieval procedure.
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References
Anagnostopoulos, I., Anagnostopoulos, C., Kouzas, G., Vergados, D.: A Generalised Regression algorithm for web page categorisation. Neural Computing & Applications journal 13(3), 229–236 (2004)
Anagnostopoulos, I., Anagnostopoulos, C., Loumos, V., Kayafas, E.: Classifying Web Pages employing a Probabilistic Neural Network Classifier. IEE Proceedings – Software 151(03), 139–150 (2004)
Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. In: WWW7: Proceedings of the seventh international conference on World Wide Web 7. Elsevier Science Publishers B. V, Amsterdam (1998)
Landauer, T.K., Foltz, P.W., Laham, D.: Introduction to Latent Semantic Analysis. Discourse Processes 25, 259–284 (1998)
Brickley, D., Guha, R.V.: Rdf schema, http://www.w3.org/TR/rdf-schema/
Anagnostopoulos, I., Psoroulas, I., Loumos, V., Kayafas, E.: Implementing a customized meta-search interface for user query personalization. In: 24th International Conference on In-formation Technology Interfaces, ITI 2002, June 24-27, pp. 79–84. Cavtat/ Dubrovnik (2002)
Dorigo, M., Maniezzo, V.: The ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics 26(1), 1–13 (1996)
Craswell, N., Hawking, D., Thistlewaite, P.: Merging Results from Isolated Search Engines. In: 10th Australasian Database Conference, Auckland, New Zealand, January 1999. Springer, Singapore (1999)
Yuwono, B., Lee, D.L.: Server ranking for distributed text retrieval systems on the internet. In: Topor, R., Tanaka, K. (eds.) DASFAA 1997, Melbourne, pp. 41–49. World Scientific, Singapore (1997)
Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V.C., Sachs, J.: Swoogle: A search and metadata engine for the semantic web. In: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management, Washington, DC (November 2004)
Jena Semantic Web Framework, http://jena.sourceforge.net
Bonabeau, E., Dorigo, M., Theraulaz, G.: Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)
Dorigo, M., Caro, G.D.: The Ant Colony Optimization Meta-heuristic. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 11–32. McGraw-Hill, London (1999)
Dorigo, M., Caro, G.D.: Ant Algorithms Optimization. Artificial Life 5(3), 137–172 (1999)
Chen, S., Smith, S.: Commonality and genetic algorithms. Technical Report CMURITR- 96-27, The Robotic Institute, Carnegie Mellon University, Pittsburgh, PA, USA (1996)
Bianchi, L., Gambardella, L.M., Dorigo, M.: An ant colony optimization approach to the probabilistic traveling salesman problem. In: Guervós, J.J.M., Adamidis, P.A., Beyer, H.-G., Fernández-Villacañas, J.-L., Schwefel, H.-P. (eds.) PPSN 2002. LNCS, vol. 2439, p. 883. Springer, Heidelberg (2002)
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Kouzas, G., Anagnostopoulos, I., Maglogiannis, I., Anagnostopoulos, C. (2006). Bridging the Syntactic and the Semantic Web Search. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_11
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DOI: https://doi.org/10.1007/11840930_11
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