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Building an Information and Knowledge Fusion System

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Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain. The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.

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References

  1. EUREKA PROJECT “IKF-Information and Knowledge Fusion”, March 2000.

    Google Scholar 

  2. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (Eds), “Advances in Knowledge Discovery and Data Mining”, Mit Press, 1996

    Google Scholar 

  3. Korfhage, R., “Information storage and retrieval”, Wiley Computer Publishing, 1997

    Google Scholar 

  4. R. Agrawal, T. Imielinski, A. Swami: “Mining Associations between Sets of Items in Massive Databases, ” Proc. of the ACM SIGMOD Int’l Conference on Management of Data, Washington D.C., May 1993, pp. 207–216.

    Google Scholar 

  5. S. Guha, R. Rastogi, and K. Shim, “CURE: An Efficient Clustering Algorithm for Large Databases, ” SIGMOD 1998.

    Google Scholar 

  6. H. Toivonen, “Sampling Large Databases for Association Rules, ” VLDB 1996, pp. 134–145.

    Google Scholar 

  7. C. Faloutsos, M. Ranganathan and Y. Manolopoulos, “Fast subsequence matching in timeseries databases, ” SIGMOD, 1994, pp. 419–429.

    Google Scholar 

  8. H. Mannila, H. Toivonen, and A. I. Verkamo, “Discovering Frequent Episodes in Sequences, ” In U. M. Fayyad and R. Uthurusamy, eds, Proc. of the 1st Int’l Conf. on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, Aug. 1995.

    Google Scholar 

  9. J. C. Shafer, R. Agrawal, M. Mehta, “SPRINT: A Scalable Parallel Classifier for Data Mining, ” VLDB 1996, pp.544–555

    Google Scholar 

  10. J. E. Gehrke, V. Ganti, R. Ramakrishnan, and Wei-Yin Loh, “BOAT — Optimistic Decision Tree Construction, ” In Proceedings of the 1999 SIGMOD Conference, Philadelphia, Pennsylvania, 1999.

    Google Scholar 

  11. S. Chakrabarti, et.al., “Mining the Web’s Link Structure, ” IEEE Computer 32: 60–67 (1999)

    Google Scholar 

  12. P. Prescod and Ch. F. Goldfarb, “The XML Handbook-2nd Edition”, Prentice Hall, 1999

    Google Scholar 

  13. XML-Based Ontology Exchange Language (XOL), http://www.oasis-open.org/cover/xol.html

  14. Financial Products Mark-up Language (FpML), http://www.oasis-open.org/cover/fpml.html

  15. Artificial Intelligence Mark-up Language (ALICE), http://www.oasis-open.org/cover/aiml-ALICE.html

  16. DARPA Agent Mark-up Language (DAML), http://www.oasis-open.org/cover/daml.html

  17. Trading Partner Agreement Markup Language (tpaML), http://www.oasis-open.org/cover/tpa.html

  18. XML: Proposed Applications and Industry Initiatives, http://www.oasis-open.org/cover/ xml.html#applications

  19. J. M. Broadshaw, “Software Agents”, The MIT Press, 1997

    Google Scholar 

  20. Y. Labrou, T. Finin, and Yun Peng, “Agent Communication Languages: The Current Landscape”, IEEE Intelligent Systems, March/April 1999, pp. 45–52

    Google Scholar 

  21. UMBC KQML Web, http://www.cs.umbc.edu/kqml/

  22. John Sowa’s web site devoted to knowlege representation and related topics of logic, ontology, and computer systems, http://www.bestweb.net/~sowa/direct/index.htm

  23. N. Guarino and Ch. Welty, “Towards a methodology for ontology-based model engineering”, in Proc. of the ECOOP-2000 Workshop on Model Engineering. June, 2000.

    Google Scholar 

  24. Standard Upper Ontology, IEEE Study Group, IEEE Computer Society, Standards Activity Board, June 2000, http://wysiwyg://634/http://ltsc.ieee.org/suo/index.html

  25. N. Guarino and Ch. Welty, “A Formal Ontology of Properties”, LADSEB/CNR Technical Report 01/2000, http://www.ladseb.pd.cnr.it/infor/ontology/Papers/OntologyPapers.html

  26. M. S. Fox, J. F. Chionglo, and F. G. Fadel, “A Common-Sense Model of the Enterprise”, Proceedings of the 2nd Industrial Engineering Research Conference, 1993, pp. 425–429, Norcross GA: Institute for Industrial Engineers

    Google Scholar 

  27. US Taxonomies, US GAAP C&I Taxonomy 00-04-04, http://http://www.xbrl.org/US/default.htm

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Author information

Authors and Affiliations

  1. Department of Measurement and Information Systems, Budapest University of Technology and Economics (BUTE), Mügyetem rkp. 9, Budapest, Hungary, H-1521

    Tamás Mészáros, Zsolt Barczikay, Ferenc Bodon, Tadeusz P. Dobrowiecki & György Strausz

Authors
  1. Tamás Mészáros
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  2. Zsolt Barczikay
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  3. Ferenc Bodon
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  4. Tadeusz P. Dobrowiecki
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  5. György Strausz
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Mészáros, T., Barczikay, Z., Bodon, F., Dobrowiecki, T.P., Strausz, G. (2001). Building an Information and Knowledge Fusion System. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_10

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  • DOI: https://doi.org/10.1007/3-540-45517-5_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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