The Community for Technology Leaders
RSS Icon
Issue No.04 - April (2011 vol.23)
pp: 496-511
Xiaohui Tao , Queensland University of Technology, Brisbane
Yuefeng Li , Queensland University of Technology, Brisbane
Ning Zhong , Maebashi Institute of Technology, Maebashi
As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering. However, when representing user profiles, many models have utilized only knowledge from either a global knowledge base or a user local information. In this paper, a personalized ontology model is proposed for knowledge representation and reasoning over user profiles. This model learns ontological user profiles from both a world knowledge base and user local instance repositories. The ontology model is evaluated by comparing it against benchmark models in web information gathering. The results show that this ontology model is successful.
Ontology, personalization, semantic relations, world knowledge, local instance repository, user profiles, web information gathering.
Xiaohui Tao, Yuefeng Li, Ning Zhong, "A Personalized Ontology Model for Web Information Gathering", IEEE Transactions on Knowledge & Data Engineering, vol.23, no. 4, pp. 496-511, April 2011, doi:10.1109/TKDE.2010.145
[1] R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. Addison Wesley, 1999.
[2] G.E.P. Box, J.S. Hunter, and W.G. Hunter, Statistics For Experimenters. John Wiley & Sons, 2005.
[3] C. Buckley and E.M. Voorhees, "Evaluating Evaluation Measure Stability," Proc. ACM SIGIR '00, pp. 33-40, 2000.
[4] Z. Cai, D.S. McNamara, M. Louwerse, X. Hu, M. Rowe, and A.C. Graesser, "NLS: A Non-Latent Similarity Algorithm," Proc. 26th Ann. Meeting of the Cognitive Science Soc. (CogSci '04), pp. 180-185, 2004.
[5] L.M. Chan, Library of Congress Subject Headings: Principle and Application. Libraries Unlimited, 2005.
[6] P.A. Chirita, C.S. Firan, and W. Nejdl, "Personalized Query Expansion for the Web," Proc. ACM SIGIR ('07), pp. 7-14, 2007.
[7] R.M. Colomb, Information Spaces: The Architecture of Cyberspace. Springer, 2002.
[8] A. Doan, J. Madhavan, P. Domingos, and A. Halevy, "Learning to Map between Ontologies on the Semantic Web," Proc. 11th Int'l Conf. World Wide Web (WWW '02), pp. 662-673, 2002.
[9] D. Dou, G. Frishkoff, J. Rong, R. Frank, A. Malony, and D. Tucker, "Development of Neuroelectromagnetic Ontologies(NEMO): A Framework for Mining Brainwave Ontologies," Proc. ACM SIGKDD ('07), pp. 270-279, 2007.
[10] D. Downey, S. Dumais, D. Liebling, and E. Horvitz, "Understanding the Relationship between Searchers' Queries and Information Goals," Proc. 17th ACM Conf. Information and Knowledge Management (CIKM '08), pp. 449-458, 2008.
[11] E. Frank and G.W. Paynter, "Predicting Library of Congress Classifications from Library of Congress Subject Headings," J. Am. Soc. Information Science and Technology, vol. 55, no. 3, pp. 214-227, 2004.
[12] S. Gauch, J. Chaffee, and A. Pretschner, "Ontology-Based Personalized Search and Browsing," Web Intelligence and Agent Systems, vol. 1, nos. 3/4, pp. 219-234, 2003.
[13] R. Gligorov, W. ten Kate, Z. Aleksovski, and F. van Harmelen, "Using Google Distance to Weight Approximate Ontology Matches," Proc. 16th Int'l Conf. World Wide Web (WWW '07), pp. 767-776, 2007.
[14] J. Han and K.C.-C. Chang, "Data Mining for Web Intelligence," Computer, vol. 35, no. 11, pp. 64-70, Nov. 2002.
[15] B.J. Jansen, A. Spink, J. Bateman, and T. Saracevic, "Real Life Information Retrieval: A Study of User Queries on the Web," ACM SIGIR Forum, vol. 32, no. 1, pp. 5-17, 1998.
[16] X. Jiang and A.-H. Tan, "Mining Ontological Knowledge from Domain-Specific Text Documents," Proc. Fifth IEEE Int'l Conf. Data Mining (ICDM '05), pp. 665-668, 2005.
[17] W. Jin, R.K. Srihari, H.H. Ho, and X. Wu, "Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques," Proc. Seventh IEEE Int'l Conf. Data Mining (ICDM '07), pp. 193-202, 2007.
[18] J.D. King, Y. Li, X. Tao, and R. Nayak, "Mining World Knowledge for Analysis of Search Engine Content," Web Intelligence and Agent Systems, vol. 5, no. 3, pp. 233-253, 2007.
[19] R.Y.K. Lau, D. Song, Y. Li, C.H. Cheung, and J.X. Hao, "Towards a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning," IEEE Trans. Knowledge and Data Eng., vol. 21, no. 6, pp. 800-813, June 2009.
[20] K.S. Lee, W.B. Croft, and J. Allan, "A Cluster-Based Resampling Method for Pseudo-Relevance Feedback," Proc. ACM SIGIR '08, pp. 235-242, 2008.
[21] D.D. Lewis, Y. Yang, T.G. Rose, and F. Li, "RCV1: A New Benchmark Collection for Text Categorization Research," J. Machine Learning Research, vol. 5, pp. 361-397, 2004.
[22] Y. Li and N. Zhong, "Web Mining Model and Its Applications for Information Gathering," Knowledge-Based Systems, vol. 17, pp. 207-217, 2004.
[23] Y. Li and N. Zhong, "Mining Ontology for Automatically Acquiring Web User Information Needs," IEEE Trans. Knowledge and Data Eng., vol. 18, no. 4, pp. 554-568, Apr. 2006.
[24] C. Makris, Y. Panagis, E. Sakkopoulos, and A. Tsakalidis, "Category Ranking for Personalized Search," Data and Knowledge Eng., vol. 60, no. 1, pp. 109-125, 2007.
[25] S.E. Middleton, N.R. Shadbolt, and D.C. De Roure, "Ontological User Profiling in Recommender Systems," ACM Trans. Information Systems (TOIS), vol. 22, no. 1, pp. 54-88, 2004.
[26] G.A. Miller and F. Hristea, "WordNet Nouns: Classes and Instances," Computational Linguistics, vol. 32, no. 1, pp. 1-3, 2006.
[27] D.N. Milne, I.H. Witten, and D.M. Nichols, "A Knowledge-Based Search Engine Powered by Wikipedia," Proc. 16th ACM Conf. Information and Knowledge Management (CIKM '07), pp. 445-454, 2007.
[28] R. Navigli, P. Velardi, and A. Gangemi, "Ontology Learning and Its Application to Automated Terminology Translation," IEEE Intelligent Systems, vol. 18, no. 1, pp. 22-31, Jan./Feb. 2003.
[29] S. Nirenburg and V. Rasin, Ontological Semantics. The MIT Press, 2004.
[30] A.-M. Popescu and O. Etzioni, "Extracting Product Features and Opinions from Reviews," Proc. Conf. Human Language Technology and Empirical Methods in Natural Language Processing (HLT '05), pp. 339-346, 2005.
[31] D. Quest and H. Ali, "Ontology Specific Data Mining Based on Dynamic Grammars," Proc. IEEE Computational Systems Bioinformatics Conf. (CSB '04), pp. 495-496, 2004.
[32] S.E. Robertson and I. Soboroff, "The TREC 2002 Filtering Track Report," Proc. Text REtrieval Conf., 2002.
[33] S. Sekine and H. Suzuki, "Acquiring Ontological Knowledge from Query Logs," Proc. 16th Int'l Conf. World Wide Web (WWW '07), pp. 1223-1224, 2007.
[34] S. Shehata, F. Karray, and M. Kamel, "Enhancing Search Engine Quality Using Concept-Based Text Retrieval," Proc. IEEE/WIC/ACM Int'l Conf. Web Intelligence (WI '07), pp. 26-32, 2007.
[35] A. Sieg, B. Mobasher, and R. Burke, "Web Search Personalization with Ontological User Profiles," Proc. 16th ACM Conf. Information and Knowledge Management (CIKM '07), pp. 525-534, 2007.
[36] M.D. Smucker, J. Allan, and B. Carterette, "A Comparison of Statistical Significance Tests for Information Retrieval Evaluation," Proc. 16th ACM Conf. Information and Knowledge Management (CIKM '07), pp. 623-632, 2007.
[37] K. Sugiyama, K. Hatano, and M. Yoshikawa, "Adaptive Web Search Based on User Profile Constructed without any Effort from Users," Proc. 13th Int'l Conf. World Wide Web (WWW '04), pp. 675-684, 2004.
[38] X. Tao, Y. Li, N. Zhong, and R. Nayak, "Automatic Acquiring Training Sets for Web Information Gathering," Proc. IEEE/WIC/ACM Int'l Conf. Web Intelligence, pp. 532-535, 2006.
[39] X. Tao, Y. Li, N. Zhong, and R. Nayak, "Ontology Mining for Personalized Web Information Gathering," Proc. IEEE/WIC/ACM Int'l Conf. Web Intelligence, pp. 351-358, 2007.
[40] J. Teevan, S.T. Dumais, and E. Horvitz, "Personalizing Search via Automated Analysis of Interests and Activities," Proc. ACM SIGIR '05, pp. 449-456, 2005.
[41] J. Trajkova and S. Gauch, "Improving Ontology-Based User Profiles," Proc. Conf. Recherche d'Information Assistee par Ordinateur (RIAO '04), pp. 380-389, 2004.
[42] T. Tran, P. Cimiano, S. Rudolph, and R. Studer, "Ontology-Based Interpretation of Keywords for Semantic Search," Proc. Sixth Int'l Semantic Web and Second Asian Semantic Web Conf. (ISWC '07/ASWC '07), pp. 523-536, 2007.
[43] K. van der Sluijs and G.J. Huben, "Towards a Generic User Model Component," Proc. Workshop Personalization on the Semantic Web (PerSWeb '05), 10th Int'l Conf. User Modeling (UM '05), pp. 43-52, 2005.
[44] E.M. Voorhees and Y. Hou, "Vector Expansion in a Large Collection," Proc. First Text REtrieval Conf., pp. 343-351, 1993.
[45] J. Wang and M.C. Lee, "Reconstructing DDC for Interactive Classification," Proc. 16th ACM Conf. Information and Knowledge Management (CIKM '07), pp. 137-146, 2007.
[46] L.A. Zadeh, "Web Intelligence and World Knowledge—The Concept of Web IQ (WIQ)," Proc. IEEE Ann. Meeting of the North American Fuzzy Information Soc. (NAFIPS '04), vol. 1, pp. 1-3, 2004.
[47] N. Zhong, "Representation and Construction of Ontologies for Web Intelligence," Int'l J. Foundation of Computer Science, vol. 13, no. 4, pp. 555-570, 2002.
[48] N. Zhong, "Toward Web Intelligence," Proc. First Int'l Atlantic Web Intelligence Conf., pp. 1-14, 2003.
[49] C. Zhou, D. Frankowski, P. Ludford, S. Shekhar, and L. Terveen, "Discovering Personally Meaningful Places: An Interactive Clustering Approach," ACM Trans. Information Systems, vol. 25, no. 3,article no. 12, July 2007.
28 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool