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IBM Systems Journal 
Volume 43, Number 3, 2004
Unstructured Information Management
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Market Intelligence Portal: An entity-based system for managing market intelligence - References
by Z. Su, J. Jiang, T. Liu, G. T. Xie, and Y. Pan

Cited references and notes

  1. W. F. Cody, J. T. Kreulen, V. Krishna, and W. S. Spangler, “The integration of business intelligence and knowledge management,” IBM Systems Journal 41, No. 4, 697–713 (2002).
  2. WebDAV Resources, http://www.webdav.org/.
  3. UIMA, The Unstructured Information Management Architecture Project, http://www.ibm.com/research/uima.
  4. The Chinese entity spotter engine developed for MIP was made available as one of the TAEs for IBMs UIMA demo.
  5. WebFountain, http://www.almaden.ibm.com/webfountain/.
  6. WebSphere Portal for Multiplatforms, http://www-306.ibm.com/software/genservers/portal/.
  7. Global Solutions Directory, Text Mining Server, http://www.developer.ibm.com/solutions/isv/igssg.nsf/list/bycompanyname/86256B7B0003EBBF86256DF600491B20?OpenDocument.
  8. A. Zanasi, “Web Mining through the Online Analyst,” in Data Mining II, N. F. F. Ebecken and C. Brebbia, Editors, WIT press.com electronic library (2000), pp. 3–14, http://library.witpress.com/.
  9. Syracuse University School of Information Studies, Center for Natural Language Processing, http://cnlp.org/tech/equery.asp.
  10. Languistics, http://www.languistics.com/.
  11. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag New York, Inc, New York (1995).
  12. R. Iannella, “An Idiot's Guide to the Resource Description Framework,” The New Review of Information Networking 4 (1998), http://www.dstc.edu.au/cgi-bin/redirect/rd.cgi?http://archive.dstc.edu.au/RDU/reports/RDF-Idiot/.
  13. J. Ferraiolo, J. Fujisawa, and D. Jackson, Scalable Vector Graphics 1.1 Specification, W3C (January 2003), http://www.w3.org/TR/SVG/.
  14. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines, Cambridge University Press, New York (2000), http://www.support-vector.net/.
  15. Z. Su, L. Zhang, and Y. Pan, “Document Clustering Based on Vector Quantization and Growing-Cell Structure,” Proceedings of the IEA/AIE 2003, Developments in Applied Artificial Intelligence, 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Laughborough, UK; Lecture Notes in Computer Science 2718 Springer (2003), pp. 326–336.
  16. S. Rongviriyapanish and N. Lévy, “Variations sur le Style Architectural Pipe et Filter,” Proceedings of the AFADL 2000, Actes du 3eme Colloque sur les Approches Formelles dans l'Assistance au Développement de Logiciels, Grenoble, France (2000), pp. 81–95.
  17. The visualization method described in this paper was not fully implemented; instead, a limited machine-generated graph was presented to users. The question-answering system was implemented, but only for very simple queries. RDF storage and MIP are not connected in the current system. There is some meta-data support, but it is currently based on a relational database (DB2).
  18. WebSphere Portal Content Management, http://design.torolab.ibm.com/software/webservers/portal/library/extend/InfoCenter/wpf/fea_cm.html.
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