Towards design principles for effective context-and perspective-based web mining

Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST '09

Volumn , Issue , 2009, Pages

  Vaishnavi, Vijay K ^a   Vandenberg, Art ^a   Zhang, Yanqing ^a   Duraisamy, Saravanaraj ^a  

^a GEORGIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN PRINCIPLES; FACULTY MEMBERS; INFORMATION CONTENTS; INFORMATION SOURCES; PLUG AND PLAY; RESEARCH GRANTS; SOCIAL NETWORKS; SYSTEMATIC DESIGNS; WEB DOMAINS; WEB MINING; WEB PAGE; WEB SYSTEM; WEB-BASED RESOURCES; WIKIPEDIA;

DESIGN; INFORMATION SYSTEMS; WORLD WIDE WEB;

RESEARCH;

EID: 70350662684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1555619.1555643     Document Type: Conference Paper

References (46)

1. Amine, A., Elberrichi. Z., Bellatreche, L., Simonet, M. and Malki, M., "Concept-based clustering of textual documents using SOM," Proc. IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2008), 2008.
2. Bakus, J., Hussin, M. F. and Kamel, M., "A SOM based document clustering using phrases," Proc. 9th International Conference on Neural information Processing (ICONIP'OZ), Vol. 5, 2002.
3. Brin, S. and Page, L., "The Anatomy of a Large-Scale Hypertext Web Search Engine," Proc. 7th WWW Conference, 1998.
4. Chen, H., "Web Retrieval and Mining," Decision Support Systems(35) pp. 1-5, 2003.
5. Clusty, http://clusty.com/,last accessed on December 16, 2008.
6. Contractor, N. S. and Monge, P. R., "Managing knowledge networks." Management Communication Quarterly16(2), pp. 249-258, 2002.
7. Das, A., Datar, M., Garg, A. and Rajaram, S., "Google News Personalization: Scalable online collaborative filtering," Proc. WWW 2007 /Track: Industrial Practice and Experience, 2007.
8. Davis, J. and Goadrich, M., "The relationship between Precision-Recall and ROC curves," Proc. 23rd ICML, pp. 233-240, 2006.
9. Dhyani, D., Ng, W K. and Bhowmick, S. R., "A Survey of Web Metrics," ACM Computing Surveys(34:4), pp. 469-503, 2002.
10. Etzioni, O., "The World Wide Web: Quagmire or Gold Mine," Communications of the ACM, pp. 65-68, 1996.
11. Farquhar, A., Fikes, R., Pratt, W. and Rice, J., "Collaborative Ontology Construction for Information Integration," Technical Report, Stanford University, 1995.
12. Ferragina, P. and Gulli, A., "A Personalized Search Engine Based on Web-snippet Hierarchical Clustering," Proc. 14th International World Wide Web Conference, Chiba, Japan, pp. 801-810, 2005.
13. Flake, G W., Lawrence, S., Giles, C L. and Coetzee, F M., "Self-Organization and Identification of Web Communities," IEEE Computer(35:3), pp. 66-71, 2002.
14. Gardner, D. and Shepherd, G.M., "A gateway to the Future of Neuroinformatics," Neuroinformatics(2:3), pp. 271-274, 2004.
15. Gauch, S., Chafee, J. and Pretschner, A., "Ontology-based personalized search and browsing," Web Intelligence and Agent Systems(1:3-4), pp. 219-234, 2004.
16. Google, "We knew the web was big ", The Official Google Blog, 2008, http://googleblog.blogspot.com/2008/07/weknew-web-was-big.html, last accessed Dec 14, 2008.
17. Harpale, A. S. and Yang, Y., "Personalized Active Learning for Collaborative Filtering," Proc. SIGIR'08, Singapore, July 20-24, 2008.
18. Hevner, A., March, S., Park, J. and Ram, S. "Design Science in Information Systems Research," MIS Quarterly(28:1), pp. 75-105, 2004.
19. Kobayashi, M. and Takeda, K., "Information Retrieval on the Web," ACM Computing Surveys(32:2), pp. 144-173, 2000.
20. Kuechler, B. and Vaishnavi, V., "On Theory Development in Design Science Research: Anatomy of a Research Project," European Journal of Information Systems, Vol. 17, No. 5, pp. 489-504, 2008.
21. Larsen, B. and Aone, A. "Fast and Effective Text Mining Using Linear-time Document Clustering," Proc. Fifth ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining, pp. 16-22, 1999.
22. Li Y., Wang Y. and Huang X., "A Relation-Based Search Engine in Semantic Web," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 2, pp. 273-282, Feb. 2007.
23. Lin, J. and Smucker M. D., "How Do Users Find Things with PubMed? Towards Automatic Utility Evaluation with User Simulations," Technical Report LAMP-TR-148/HCIL-2008-07, University of Maryland, College Park, February 2008.
24. Mathes, A., "Folksonomies-Cooperative Classification and Communication through Shared Metadata," University of Illinois Urbana-Champaign, December 2004.
25. Montgomery, D.C. and Runger, G.C. Applied Statistics and Probability for Engineers, John Wiley & Sons, Inc., 1999.
26. Mikroyannidis, A. and Theodoulidis, B., "Heraclitus: A Framework for Semantic Web Adaptation," IEEE INTERNET COMPUTING, pp. 45-52, 2007.
27. Navigli, R., Velardi, P. and Gangemi, A., "Ontology Learning and Its Application to Automated Terminology Translation," IEEE Intelligent Systems, Vol. 18, No. 1, pp. 22-31, 2003.
28. Purao, S., "Design Research in the Technology of Information Systems: Truth or Dare." Georgia State University Department of CIS Working Paper 2002.
29. Smucker M D., Allan J. and Dachev B., "Human Question Answering Performance using an Interactive Information Retrieval System," Technical Report IR-655, Center for Intelligent Information Retrieval (CIIR), Department of Computer Science, University of Massachusetts Amherst, January 2008.
30. Stefanidis, K., Pitoura, E. and Vassiliadis, P., "On Relaxing Contextual Preference Queries," Proc. International Conference on Mobile Data Management, 2007.
31. Stein, B. and Eissen, S.M.Z. "Document Categorization with Major CLUST," Proc. 12th Annual Workshop On Information Technologies And Systems (WITS'02), Barcelona, Spain, 2002.
32. Storey, V. C., Burton-Jones, A., Sugumaran, V. and Purao, S., "CONQUER: A Methodology for Context-Aware Query Processing on the World Wide Web," Information Systems Research, Vol. 19, No. 1, pp. 3-25, March 2008.
33. Thelwall, M., "Scientific Web Intelligence: Finding Relationships in University Webs," Communications of the ACM, pp. 93-96, 2005.
34. Tremblay, M. C., Hevner, A. R. and Berndt, D. J., "The Use of Focus Groups in Design Science Research," Proc. Third International Conference on Design Science Research in Information Systems and Technology, V. Vaishnavi & R. Baskerville, Eds., Atlanta, Georgia, 2008.
35. Uschold, M., King, M., Moralee, S. and Zorgios, Y., "The Enterprise Ontology," Knowledge Engineering Review,pp. 31-89, 1998.
36. Vaishnavi, V. K. and Kuechler, W L., Design Science Research Methods and Patterns: Improving and Innovating Information and Communication Technology, Auerbach Publications, Taylor & Francis Group," New York, NY, 2008.
37. Van Rijsbergen, C. "Information Retrieval," Butterworth, London, 1979.
38. Wang, X., McCallum, A. and Wei, X., "Topical N-grams: Phrase and Topic Discovery, with an Application to Information Retrieval," Proc. Seventh IEEE International Conference on Data Mining, 2007.
39. Wang, J. Z. and Taylor, W., "Concept Forest: A New Ontology-assisted Text Document Similarity Measurement Method-J Wang, W Taylor," Proc. IEEE/WIC/ACM International Conference on Web Intelligence, 2007.
40. Wang X. and Zhai, C., "Learn from Web Search Logs to Organize Search Results," Proc. 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'07), pp. 87-94, 2007.
41. Wei, X. and Croft, W. B., "Investigating Retrieval Performance with Manually-Built Topic Models," 2007.
42. WordNet, Cognitive Science Laboratory, Princeton University, Princeton, New Jersey, 2006. http://wordnet.princeton.edu/, last accessed on December 12, 2008.
43. Zakos, J. and Verma, B., "A Novel Context Matching Based Technique for Web Document Retrieval," Proc. Eighth International Conference on Document Analysis and Recognition, 2005.
44. Zeng, H J., He, Q C., Chen, Z., Ma, W Y. and Ma, J W., "Learning to Cluster Web Search Results," Proc. 27th annual international ACM SIGIR Conference on Research and Development in Information Retrieval, ACM Press, Sheffield, United Kingdom, pp. 210-217, 2004.
45. Zhao, H. and Ram, S. "Clustering Schema Elements for Semantic Integration of Heterogeneous Data Sources," Journal of Database Management(15:4), pp. 88-106, 2004.
46. Zhu, D. and Dreher, H., "Determining and Satisfying Search Users Real Needs via Socially Constructed Search Concept Classification," Proc. Inaugural IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2007), 2007.