Introducing semantics in web personalization: The role of ontologies

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4289 LNAI, Issue , 2006, Pages 147-162

  Eirinaki, Magdalini ^a   Mavroeidis, Dimitrios ^a   Tsatsaronis, George ^a   Vazirgiannis, Michalis ^a  

^a ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT SEMANTICS; INDEX PAGES; NAVIGATIONAL PATTERNS; PERSONALIZATION SYSTEMS; PERSONALIZATIONS; SEMANTIC WEB PERSONALIZATION; USAGE DATA; WEB PAGE; WEB PERSONALIZATION; WEB USAGE MINING; WORD SENSE DISAMBIGUATION TECHNIQUES;

NAVIGATION; ONTOLOGY; SEMANTICS;

WEBSITES;

EID: 70349553819     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11908678_10     Document Type: Conference Paper

References (48)

1. E. Agirre, G. Rigau, A proposal for word sense disambiguation using conceptual distance, In Proc. of Recent Advances in NLP (RANLP), 1995, pp. 258-264
2. th WEBKDD Workshop, Washington, August 2003
3. M. Albanese, A. Picariello, C. Sansone, L. Sansone, A Web Personalization System based on Web Usage Mining Techniques, in Proc. of WWW2004, May 2004, New York, USA
4. th VLDB Conference, 1994
5. R. Barzilay, M. Elhadad, Using lexical chains for text summarization, in Proc. of the Intelligent Scalable Text Summarization Workshop (ISTS 1997), ACL, 1997.
6. st International Semantic Web Conference (ISWC 2002)
7. S. Bloehdorn, A. Hotho: Boosting for text classification with semantic features. In: Proc. of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Mining for and from the Semantic Web Workshop. (2004) 70-87
8. th International World Wide Web Conference (WWW7)
9. R. Baraglia, F. Silvestri, An Online Recommender System for Large Web Sites, in Proc. of ACM/IEEE Web Intelligence Conference (WI'04), China, September 2004
10. S. Chakrabarti, B. Dom, P. Raghavan, S. Rajagopalan, D. Gibson, J. Kleinberg, Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text, in Proc. of WWW7, 1998
11. nd Workshop on Semantic Web Mining, Helsinki, Finland, 2002
12. M. Eirinaki, New Approaches to Web Personalization, PhD Thesis, Athens University of Economics and Business, Dept. of Informatics, 2006
13. M. Ester, H.P. Kriegel, J. Sander, M. Wimmer and X. Xu, Incremental Clustering for Mining in a Data Warehousing Environment, in Proc. of the 24th VLDB Conference, 1998
14. M. Eirinaki, C. Lampos, S. Pavlakis, M. Vazirgiannis, Web Personalization Integrating Content Semantics and Navigational Patterns, in Proc. of the 6th ACM International Workshop on Web Information and Data Management (WIDM'04), November 2004, Washington DC
15. M. Eirinaki, M. Vazirgiannis, I. Varlamis, SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process, in Proc. of the 9th ACM International Conference on Knowledge Discovery and Data Mining (KDD '03), Washington DC, August 2003
16. C. Fellbaum, ed., WordNet, An Electronic Lexical Database. The MIT Press, 1998
17. th International Joint Conference on Artificial Intelligence (IJCAI 2003), August 2003, Acapulco, Mexico.
18. J. Guo, V. Keselj, Q. Gao, Integrating Web Content Clustering into Web Log Association Rule Mining. In Proc. of Canadian AI Conference 2005
19. M. Halkidi, B. Nguyen, I. Varlamis, M. Vazirgiannis, THESUS: Organizing Web Documents into Thematic Subsets using an Ontology, VLDB journal, vol.12, No.4, 320-332, Nov. 2003
20. A. Hotho, S. Staab, G. Stumme: Ontologies Improve Text Document Clustering. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA: 541-544
21. J. Jiang, D. Conrath, Semantic similarity based on corpus statistics and lexical taxonomy, in Proc. of the International Conference on Research in Computational Linguistics, 1997
22. th ACM International Conference on Knowledge Discovery and Data Mining (KDD '05), Chicago, August 2005
23. rd Workshop on Intelligent Techniques for Web Personalization (ITWP 2005), Endiburgh, Scotland, August 2005
24. C. Leacock, M. Chodorow. Combining Local Context and WordNet Similarity for Word Sense Identification. In Fellbaum 1998, pp. 265-283.
25. C. Leacock, M. Chodorow, G. A. Miller. 1998. Using Corpus Statistics and WordNet Relations for Sense Identification. In Computational Linguistics, 24:1 pp. 147-165.
26. C. Lampos, M. Eirinaki, D. Jevtuchova, M. Vazirgiannis, Archiving the Greek Web, in Proc. of the 4th International Web Archiving Workshop (IWAW04), September 2004, Bath, UK
27. M. E. Lesk, Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone , in Proc. of the SIGDOC Conference, June 1986, Toronto.
28. D. Lin, An information-theoretic definition of similarity, in Proc. of the 15th International Conference on Machine Learning (ICML), 1998, pp. 296-304
29. th European Conference on Principles and Practice of Knowledge Discovery in Databases, (PKDD'05), Porto, Portugal, 2005
30. B. Mobasher, H. Dai, T. Luo, Y. Sung, J. Zhu, Integrating web usage and content mining for more effective personalization, in Proc. of the International Conference on Ecommerce and Web Technologies (ECWeb2000), Greenwich, UK, September 2000
31. A. Montoyo, A. Suarez, G. Rigau, M. Palomar, Combining Knowledge- and Corpusbased Word-Sense-Disambiguation Methods, Journal of Artificial Intelligence Research, 23, pp.299-330.
32. R. Mihalcea, D. I. Moldovan, A Highly Accurate Bootstrapping Algorithm for Word Sense Disambiguation, International Journal on Artificial Intelligence Tools, 2001, 10(1-2), pp. 5-21.
33. S.E. Middleton, N.R. Shadbolt, D.C. De Roure, Ontological User Profiling in Recommender Systems, ACM Transactions on Information Systems (TOIS), Jan. 2004/ Vol.22, No. 1, 54-88
34. th International Conference on Computational Linguistics (COLING 2004), August 2004, Switzerland.
35. R. Navigli, P. Velardi, Structural Semantic Interconnection: a knowledge-based approach to Word Sense Disambiguation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TRAMI), 27(7), p. 1075-1086.
36. st Atlantic Web Intelligence Conf. (AWIC), 2003
37. M. Perkowitz, O. Etzioni, Towards Adaptive Web Sites: Conceptual Framework and Case Study, in Artificial Intelligence 118[1-2] (2000), pp. 245-275
38. S. Paulakis, C. Lampos, M. Eirinaki, M. Vazirgiannis, SEWeP: A Web Mining System supporting Semantic Personalization, in Proc. of the ECML/PKDD 2004 Conference, Pisa, Italy, September 2004
39. P. Resnik, Using information content to evaluate semantic similarity in a taxonomy, in Proc. of the 14th International Joint Conference on Artificial Intelligence (IJCAI), 1995
40. th Conference of the European Chapter of the Association for Computational Linguistics, Madrid, Spain.
41. B. Sarwar, G. Karypis, J. Konstan, J. Riedl, Item-based Collaborative Filtering Recommendation Algorithms, in Proc. of WWW10, May 2001, Hong Kong
42. G. Silber, K. McCoy, Efficiently computed lexical chains as an intermediate representation for automatic text summarization, Computational Linguistics, 29(1), 2003.
43. nd International Conference on Information and Knowledge Management (CIKM). (1993) 67-74
44. Theobald, M., Schenkel, R., Weikum, G.: Exploiting structure, annotation, and ontological knowledge for automatic classification of xml data. In: International Workshop on Web and Databases (WebDB). (2003) 1-6
45. H. Utard, J. Furnkranz, Link-Local Features for Hypertext Classification, in Proc. of the European Web Mining Forum (EWMF 2005), Porto, Portugal, October 2005
46. I. Varlamis, M. Vazirgiannis, M. Halkidi, B. Nguyen, THESUS, A Closer View on Web Content Management Enhanced with Link Semantics, in IEEE Transactions on Knowledge and Data Engineering Journal, June 2004 (Vol. 16, No. 6), pp. 585-600.
47. S.K.M. Wong, W. Ziarko, P.C.N. Wong, Generalized vector space model in information retrieval, in Proc. of the 8th Intl. ACM SIGIR Conference (SIGIR'85), 1985, pp. 18-25
48. nd Annual Meetings of the Associations for Computational Linguistics, 1994, pp. 133-138