Generation of personalized ontology based on consumer emotion and behavior analysis

IEEE Transactions on Affective Computing

Volumn 3, Issue 2, 2012, Pages 152-164

  Fong, A C M ^a   Zhou, Baoyao ^b   Hui, Siu ^c   Tang, Jie ^d   Hong, Guan ^e  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b IBM CHINA RESEARCH LAB   (China)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d TSINGHUA UNIVERSITY   (China)

^e UNITEC INSTITUTE OF TECHNOLOGY   (New Zealand)

Author keywords

adaptation in mid to long term interaction; behavioral tracking; consumer habits; Emotion and behavior profiling; knowledge discovery; ontology generation; personalization; recommender system; semantic web; weblog mining

Indexed keywords

CONSUMER HABITS; EMOTION AND BEHAVIOR PROFILING; LONG-TERM INTERACTION; ONTOLOGY GENERATION; PERSONALIZATIONS;

DATA MINING; FUZZY LOGIC; RECOMMENDER SYSTEMS; SEMANTIC WEB; WORLD WIDE WEB;

CONSUMER BEHAVIOR;

EID: 84863885699     PISSN: 19493045     EISSN: None     Source Type: Journal    
DOI: 10.1109/T-AFFC.2011.22     Document Type: Article

References (50)

1. R.J. Dolan, "Emotion, Cognition, and Behavior," Science, vol. 298, no. 5596, pp. 1191-1194, 2002.
2. P. Weinberg and W. Gottwald, "Impulsive Consumer Buying as a Result of Emotion," J. Business Research, vol. 10, no. 1, pp. 43-57, 1982.
3. F. Piron, "A Comparison of Emotional Reactions Experienced by Planned, Unplanned and Impulse Purchasers," Advances in Consumer Research, vol. 20, nos. 341-344, pp. 199-204, 1993.
4. J. Kalbach, Designing Web Navigation. O'Reilly, 2007.
5. C. Miao, Q. Yang, H. Fang, and A. Goh, "A Cognitive Approach for Agent-Based Personalized Recommendation," Knowledge-Based Systems, vol. 20, pp. 397-405, 2007. (Pubitemid 46551698)
6. D.H. Choi and B.S. Ahn, "Eliciting Customer Preferences for Products from Navigation Behavior on the Web: A Multicriteria Decision Approach with Implicit Feedback," IEEE Trans. Systems, Man, and Cybernetics, Part A, vol. 39, no. 4, pp. 880-889, July 2009.
7. J.H. Janssen, J.N. Bailenson, W.A. IJsselsteijn, and J.H.D.M. Westerin, "Intimate Heartbeats: Opportunities for Affective Communication Technology," IEEE Trans. Affective Computing, vol. 1, no. 2, pp. 72-80, July-Dec. 2010.
8. J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan, "Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data," ACM SIGKDD Explorations, vol. 1, no. 2, pp. 12-23, 2000.
9. "WebTrends Web Analytics,"http://www.netiq.com/webtrends, 2011.
10. B. Mobasher, H. Dai, T. Luo, and M. Nakagawa, "Effective Personalization Based on Association Rule Discovery from Web Usage Data," Proc. Third Int'l Workshop Web Information and Data Management, pp. 9-15, 2001.
11. J. Pei, J. Han, B. Mortazavi-Asl, and H. Zhu, "Mining Access Patterns Efficiently from Web Logs," Proc. Fourth Pacific-Asia Conf. Knowledge Discovery and Data Mining, Current Issues and New Applications, pp. 396-407, 2000.
12. T. Berners-Lee, J. Hendler, and O. Lassila, "The Semantic Web," Scientific Am., vol. 284, no. 5, pp. 34-43, May 2001.
13. G. Stumme, B. Berendt, and A. Hotho, "Usage Mining for and on the Semantic Web," Proc. NSF Workshop Next Generation Data Mining, pp. 77-86, Nov. 2002.
14. S. Middleton, N. Shadbolt, and B.D.D. Roure, "Capturing Interest through Inference and Visualization: Ontological User Profiling in Recommender Systems," Proc. Int'l Conf. Knowledge Capture, pp. 62-69, 2003.
15. R. Missaoui, P. Valtchev, C. Djeraba, and M. Adda, "Toward Recommendation Based on Ontology-Powered Web-Usage Mining," IEEE Internet Computing, vol. 11, no. 4, pp. 45-52, July/Aug. 2007. (Pubitemid 47193976)
16. A. Sieg, B. Mobasher, and R. Burke, "Web Search Personalization with Ontological User Profiles," Proc. 16th ACM Conf. Conf. Information and Knowledge Management, pp. 525-534, 2007.
17. A. Maedche and S. Staab, "Ontology Learning for the Semantic Web," IEEE Intelligent Systems, vol. 16, no. 2, pp. 72-79, Mar./Apr. 2001. (Pubitemid 32496024)
18. A. Todirascu, F. De Beuvron, D. Gǎlea, and F. Rousselot, "Using Description Logics for Ontology Extraction," Proc. First Workshop Ontology Learning at the 14th European Conf. Artificial Intelligence, Aug. 2000.
19. A. Maedche and S. Staab, "Discovering Conceptual Relations from Text," Proc. 14th European Conf. Artificial Intelligence, pp. 321-325, Aug. 2000.
20. P. Clerkin, P. Cunningham, and C. Hayes, "Ontology Discovery for the Semantic Web Using Hierarchical Clustering," Proc. First Semantic Web Mining Workshop, 2001.
21. P. Cimiano, S. Staab, and J. Tane, "Deriving Concept Hierarchies from Text by Smooth Formal Concept Analysis," Proc. GI Workshop Lehren-Lernen-Wissen-Adaptivit, pp. 72-79, 2003.
22. T.T. Quan, S.C. Hui, A.C.M. Fong, and T.H. Cao, "Automatic Fuzzy Ontology Generation for Semantic Web," IEEE Trans. Knowledge and Data Eng., vol. 18, no. 6, pp. 842-856, June 2006.
23. C. De Maio, G. Fenza, V. Loia, and S. Senatore, "Towards an Automatic Fuzzy Ontology Generation," Proc. IEEE Int'l Conf. Fuzzy Systems, pp. 1044-1049, Aug. 2009.
24. C. De Maio, G. Fenza, V. Loia, and S. Senatore, "A Multi Facet Representation of a Fuzzy Ontology Population," Proc. IEEE/WIC/ACM Int'l Joint Conf. Web Intelligence and Intelligent Agent Technology, pp. 401-404, 2009.
25. X. Xu, Y. Wu, and J. Chen, "Fuzzy FCA Based Ontology Mapping," Proc. First Int'l Conf. Networking and Distributed Computing, pp. 181-185, Oct. 2010.
26. Z.M. Ma, Y. Lv, and L. Yan, "A Fuzzy Ontology Generation Framework from Fuzzy Relational Databases," J. Semantic Web Information Systems, vol. 4, no. 3, pp. 1-15, 2008.
27. H. Dai and B. Mobasher, "Using Ontologies to Discover Domain-Level Web Usage Profiles," Proc. Second Semantic Web Mining Workshop at ECML/PKDD, 2002.
28. D. Oberle, B. Berendt, A. Hotho, and J. Gonzalez, "Conceptual User Tracking," Proc. First Int'l Atlantic Web Intelligence Conf., pp. 155-164, May 2003. (Pubitemid 36599074)
29. M. Eirinaki, M. Vazirgiannis, and I. Varlamis, "SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process," Proc. Ninth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 99-108, 2003.
30. R. Meo, P.L. Lanzi, M. Matera, and R. Esposito, "Integrating Web Conceptual Modeling and Web Usage Mining," Proc. WebKDD Workshop Web Mining and Web Usage Analysis, pp. 105-115, 2004.
31. P. Fraternali, M. Matera, and A. Maurino, "Conceptual-Level Log Analysis for the Evaluation of Web Application Quality," Proc. First Conf. Latin Am. Web Congress, pp. 46-57, Nov. 2003.
32. D.L. McGuinness and F. Van Harmelen, "OWL Web Ontology Language Overview," W3C Recommendation, http://www. w3.org/TR/owl-features/, Feb. 2004.
33. F. Yergeau, T. Bray, J. Paoli, C.M. Sperberg-McQueen, and E. Maler, "Extensible Markup Language (XML) 1.0 (Third Ed.)," W3C Recommendation, http://www.w3.org/TR/2004/REC-xml-20040204/, Feb. 2004.
34. G. Klyne and J.J. Carroll, "Resource Description Framework (RDF): Concepts and Abstract Syntax," W3C Recommendation, http://www.w3.org/TR/ rdf-concepts/, Feb. 2004.
35. N.F. Noy and D.L. Mcguinness, "Ontology Development 101: A Guide to Creating Your First Ontology," technical report, Stanford Medical Informatics, Palo Alto, Calif., 2001.
36. Y. Sure, M. Erdmann, J. Angele, S. Staab, R. Studer, and D. Wenke, "OntoEdit: Collaborative Ontology Development for the Semantic Web," Proc. First Int'l Semantic Web Conf. Semantic Web, pp. 221-235, June 2002.
37. W. Lin, S.A. Alvarez, and C. Ruiz, "Efficient Adaptive-Support Association Rule Mining for Recommender Systems," Data Mining and Knowledge Discovery, vol. 6, no. 1, pp. 83-105, 2002. (Pubitemid 37113877)
38. M.N. Moreno, F.J. García, M.J. Polo, and V.F. López, "Using Association Analysis of Web Data in Recommender Systems," Proc. Fifth Int'l Conf. E-Commerce and Web Technologies, pp. 11-20, Aug. 2004.
39. L.A. Zadeh, "Fuzzy Logic and Approximate Reasoning," Synthese, vol. 30, pp. 407-428, 1975.
40. C. Wong, S. Shiu, and S. Pal, "Mining Fuzzy Association Rules for Web Access Case Adaptation," Proc. Fourth Int'l Conf. Case-Based Reasoning, Case-Based Reasoning Research and Development, pp. 213-220, 2001.
41. S.C.K. Shiu and S.K. Pal, "Case-Based Reasoning: Concepts, Features and Soft Computing," Applied Intelligence, vol. 21, no. 3, pp. 233-238, 2004.
42. R. Agrawal and R. Srikant, "Mining Sequential Patterns," Proc. 11th Int'l Conf. Data Eng., pp. 3-14, Mar. 1995.
43. L.A. Zadeh, "Fuzzy Sets," J. Information and Control, vol. 8, pp. 338-353, 1965.
44. R. Cooley, B. Mobasher, and J. Srivastava, "Data Preparation for Mining World Wide Web Browsing Patterns," Knowledge and Information Systems, vol. 1, no. 1, pp. 5-32, 1999.
45. D. Olaru and B. Smith, "Modelling Daily Activity Schedules with Fuzzy Logic," Proc. 10th Int'l Conf. Travel Behaviour Research, 2003.
46. G. Stumme, R. Taouil, Y. Bastide, N. Pasquier, and L. Lakhal, "Computing Iceberg Concept Lattices with TITANIC," Data Knowledge Eng., vol. 42, no. 2, pp. 189-222, 2002. (Pubitemid 34545019)
47. L. Nourine and O. Raynaud, "A Fast Algorithm for Building Lattices," Information Processing Letters, vol. 71, nos. 5/6, pp. 199-204, 1999.
48. R. Godin, R. Missaoui, and H. Alaoui, "Incremental Concept Formation Algorithms Based on Galois (Concept) Lattices," Computational Intelligence, vol. 11, pp. 246-267, 1995.
49. E. Bozsak, M. Ehrig, S. Handschuh, A. Hotho, A. Maedche, B. Motik, D. Oberle, C. Schmitz, S. Staab, L. Stojanovic, N. Stojanovic, R. Studer, G. Stumme, Y. Sure, J. Tane, R. Volz, and V. Zacharias, "KAON-Towards A Large Scale Semantic Web," Proc. Third Int'l Conf. E-Commerce and Web Technologies, pp. 304-313, Sept. 2002.
50. B. Zhou, S.C. Hui, and A.C.M. Fong, "Efficient Sequential Access Pattern Mining for Web Recommendations," Int'l J. Knowledge-Based and Intelligent Eng. Systems, vol. 10, no. 2, pp. 155-168, 2006.