[1]Arunmk, M., “Data Mining”, http://www.rpi.edu/~arunmk/
[2]Ananyan, S., “Text Mining Application and technologies”, http://www.vbits98.com.
[3]Clifton, C. and Steinheiser, R. “Data mining on text”, Computer Software and Applications Conference, COMPSAC 98 Proceedings. The Twenty-Second Annual International, pp.630-635.
[4]Dorre, J., Gerstl, P., and Seiffert, R., “Text Mining:Finding Nuggets in Moutains of Textual Data”, KDD-99 San Diego CA USA
[5]Feldman, R., and Dagan I., “Knowledge Discovery in Textual Databases(KDT)”, In Proceedings of the First International Conference on Knowledge Discovery and Data Mining, Montreal, Canada, Aug. 1995. pp.112-117.
[6]Feldman. R., and Hirsh, H., “Mining Associations in Text in the Presence of Background Knowledge”, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp.343-346.
[7]Weiss, S.M., Apte, C., Damerau, F.J., Johnson, D.E., Oles, F.J., Goetz, T., and Hampp, T., “Maximizing text-mining performance”, IEEE Intelligent Systems, pp.63-69.
[8]Witten, I.H., Bray, Z., Mahoui, M., and Teahan, B., “Text mining: a new frontier for lossless compression”, Data Compression Conference, 1999. Proceedings. DCC ''99, pp.198 — 207.
[9]Loh, S., Wives, L.K., and Palazzo, J., “Concept-Based Knowledge Discovery in Texts Extracted from the Web”, SIGKDD Explorations, ACM, Volume 2, Issue 1 — pp.29.
[10]Chandrasekaran, B., Josephson, J.R., and Benjamins, V.R., “What are ontologies, and why do we need them?”, IEEE Intelligent Systems,vol.14, pp.20 — 26
[11]Braga, R.M.M., Werner, C.M.L., and Mattoso, M., “Using ontologies for domain information retrieval”, Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop, pp.836 — 840
[12]Crampes, M. and Ranwez, S., “Ontology-supported and ontology-driven conceptual navigation on the World Wide Web”, Proceedings of the eleventh ACM on Hypertext and hypermedia, May 30 — June 3, 2000, San Antonio, TX USA, pp.191-199
[13]Czejdo, B., Dinsmore, J., Hwang, C.H., Miller, R., and Rusinkiewicz, M., “Automatic generation of ontology based annotations in XML and their use in retrieval systems”, Web Information Systems Engineering, 2000. Proceedings of the First International Conference, vol.1, pp.296 — 300
[14]Clark, D., “Mad cows, metathesauri, and meaning”, IEEE Intelligent Systems, vol.14, pp.75 — 77
[15]Guarino, N., Masolo, C., and Vetere, G.(1995): “OntoSeek: content-based access to the Web”, Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference, pp.70 — 80
[16]Benjamins, V.R. “(KA)2:building ontologies for the internet: a mid-term report”, International Journal of Human-Computer Studies(1999)51, pp.687-721
[17]Weinstein, P.C.(1998): “Ontology-based metadata: transforming the MARC legacy”, Proceedings of the third ACM Conference on Digital libraries, June 23 — 26, 1998, Pittsburgh, PA USA, pp.254-263
[18]Lopez, M.F., Gomez-Perez, A., Sierra, J.P., and Sierra, A.P.(1999): “Building a chemical ontology using Methontology and the Ontology Design Environment”, IEEE Intelligent Systems, Vol. 14, pp.37 — 46
[19]Visser, P. and Bench-Capon, T., “On the reusability of ontologies in knowledge-system design“, Database and Expert Systems Applications, 1996. Proceedings., Seventh International Workshop, pp.256 — 261
[20]Salton and McGill, 1983, “Introduction to Modern Information Retrieval.” McGraw Hill Book Co.
[21]Lee H. C, Dagli C. H., Ercal F., and Ozbayoglu A. M., 1995, “SimNet: A Parallel Neuro-Fuzzy Paradigm for Data Clustering”, OAI Neural Networks Symposium and Workshop(OAINN ’95), Athens, Ohio, USA.
[22]Enke D., Lee H. C., Ozbayoglu A. M., A. Thammano, and Dagli C. H., 1995, “An Application to Speaker Identification Using SimNet”, Intelligent Engineering Systems Through Identification Using SimNet”, Intelligent Engineering Systems Through Artificial Neural Networks, vol. T, ASME Press(ANNIE’95), New York.
[23]許加文、李錫捷,網際網路搜尋過濾系統[一個「關鍵頁」超搜尋智慧型代理引擎,元智大學資訊研究系所第九屆國際資訊管理學術研討會,1998.6,中壢,台灣
[24]謝超煒,“網際網路搜尋過濾系統-中文關鍵頁搜尋代理人”,元智大學,碩士論文,民國89年[25]Moldovan, D., Harabagiu, S., Pasca, M., Mihalcea, R., Goodrum, R., Gîrju , R., Rus, V. (1999): “LASSO: A Tool for Surfing the Answer Net”, The Eighth Text REtrieval Conference (TREC 8), pp. 175.
[26]Harabagiu, S., Maiorano, S., (1999): “Finding Answers in Large Collections of Texts: Paragraph Indexing + Abductive Inference”, in AAAI Fall Symposium on Question Answering Systems, November 1999, pp. 63-71.
[27]Harabagiu, S., Pasca, M., (2000): “Mining Textual Answers with Knowledge-Based Indicators”, in Proceedings of FLAIRS-2000, May 2000, Orlando FL.
[28](28)Harabagiu, S., Pasca, M., Maiorano, S. (2000): “Experiments with Open-Domain Textual Question Answering”, in Proceedings of COLING-2000, August 2000, Saarbruken Germany.
[29]Prager, J., Brown, E., Coden, A., Radev, D., (2000): “Question-answering by predictive annotation”, Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval , July 24 - 28, 2000, Athens Greece, pp. 184-191.
[30]Prager, J., radev, D., Brown, E., Coden, A., Samn, V., (1999): “The Use of Predictive Annotation for Question Answering in TREC8”, The Eighth Text REtrieval Conference (TREC 8), pp. 399.
[31]Prager, J., Brown, E., Radev, D.R., Czuba, K., (2000): “One Search Engine or Two for Question-Answering”, The Ninth Text REtrieval Conference (TREC 9).
[32]Laszlo, M., Kosseim, L., Lapalme, G., (2000): “Goal-Driven Answer Extraction”, The Ninth Text REtrieval Conference (TREC 9).
[33]Scott, S., Gaizauskas, R., (2000): “University of Sheffield TREC-9 Q&;A System”, The Ninth Text REtrieval Conference (TREC 9).
[34]Gaizauskas, R., Humphreys, K., (2000): “A Combined IR/NLP Approach to Question Answering Against Large Text Collections”, To appear in Proceedings of RIAO 2000: Content-Based Multimedia Information Access, Paris, April, 2000.
[35]Hovy, E., Gerber, L., Hermjadob, U., Junk, M., Lin, C-Y., (2000): “Question Answering in Webclopedia”, The Ninth Text REtrieval Conference (TREC 9).
[36]Clarke, C.L.A., Cormack, G.V., Kisman, D.I.E., Lynam, T.R., (2000): “Question Answering by Passage Selection (MultiText Experiments for TREC-9)”, The Ninth Text REtrieval Conference (TREC 9).
[37]Attardi, G., Burrini, C., (2000): “The PISAB Question Answering System”, The Ninth Text REtrieval Conference (TREC 9).
[38]Cooper, R. J., Rüger, S.M., (2000): “A Simple Question Answering System”, The Ninth Text REtrieval Conference (TREC 9).
[39]Ittycheriah, A., Franz, M., Zhu, W-J., Ratnaparkhi, A., Mammone, R.J., (2000): “IBM''s Statistical Question Answering System”, The Ninth Text REtrieval Conference (TREC 9).
[40]Vicedo, J.L., Antonio, F., (2000): “A Semantic Approach to Question Answering Systems”, The Ninth Text REtrieval Conference (TREC 9).
[41]Srihari, R., Li, W., (1999): “Information Extraction Supported Question Answering”, The Ninth Text REtrieval Conference (TREC 9), pp. 185.
[42]NJ. Budzik, J., Hammond, K., (1998). “Learning for Question-Answering and Text Classification: Combining Knowledge-Based and Statistical Techniques.” In Proceedings of the AAAI-98 Workshop on Learning For Text Classification. Menlo Park, CA: AAAI Press, 1998.
[43]Sneiders, E., (1999): “Automated FAQ Answering on WWW Using Shallow Language Understanding”, Thesis in partial fulfillment of the requirements for the degree of Licentiate of Technology, Dept. of Computer and Systems Sciences, Stockholm University / Royal Institute of Technology, Sweden.
[44]Hammond, K.; Burke, R.; Martin, C.; Lytinen, S.(1995). FAQ finder: a case-based approach to knowledge navigation, Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference, pp. 80 — 86
[45]Robin D. Burke, Kristian J. Hammond, Vladimir Kulyukin, Steven L. Lytinen, Noriko Tomuro, and Scott Schoenberg (1997), Question Answering from Frequently Asked Question Files: Experiences with the FAQ FINDER System. AI Magazine, vol. 18, no. 2:57-66
[46]http://www.ask.com
[47]http://www.faq.org