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Using knowledge nodes for knowledge discovery and collaboration

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Book cover Artificial Intelligence in Structural Engineering

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1454))

Abstract

Today most of the information we produce is stored digitally. We are slowly forced to leave behind us thinking about information as something stored in physical containers as books, drawings etc. We make it possible to dynamically create logical containers of information on the fly. The paper focuses on how we in the future can aggregate, classify and generalize digitally stored information in order to make it more accessible and how we can define underlying knowledge container models to support knowledge discovery and collaboration. Examples are picked from ongoing research and the outcomes are generally valid and in particular for the structural engineering field.

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References

  1. Bryan, M.,: Guidelines for Using XML for Electronic Data Interchange. Version 0.05, 25th January (1998). XML/EDI Group. http://www.geocities.com/WallStreet/Floor/5815/guide.htm

    Google Scholar 

  2. Christiansson, P.: Experiences from developing a Building Maintenance Knowledge Node. In CIB Proceedings Information Technology Support for Construction Process ReEngineering, IT-CPR-97. (1997) 89–101. (http://delphi.kstr.Ith. se/reports/cibw78caims l 997.html).

    Google Scholar 

  3. Christiansson, P.: Knowledge communication in the building industry. The Knowledge Node Concept. In Construction on the Information Highway. CIB Proceedings 198 (ed. Z. Turk) (1996) 121–132. (http://delphi.kstr.lth.se/reports/cibw78bled96.html)

    Google Scholar 

  4. Christiansson, P.: Dynamic Knowledge Nets in a changing building process. Automation in Construction, Vol 2, nb 2, Elsevier Science Publishers B.V. Amsterdam, (1993) 307–322

    Google Scholar 

  5. Conceptual Knowledge Markup Language, CKML. (Robert Kent, Washington State University, Christian Neuss, Technishe Hochschule Darmstadt) http://wave.eecs.wsu.edu/WAVE/Ontologies/CKML/RDF-to-CKML.html

    Google Scholar 

  6. Daniel Jr., R., Ianella R., Miller E.: Expressing the Dublin Core in the Resource Description Framework: Suggestions based on an early examination of the problem. Los Alamos National Laboratory. (7 A4 pages). (1997) http://www.acl.lanl.gov/-rdaniel/RDF/DC/ExpDC-2.html.

    Google Scholar 

  7. Freeman, J.A., Skapura, D., M.: Neural Networks. Algorithms, Applications, and Programming Techniques. Addison-Wesley Publishing Company. Reading Massachusetts. (1991) 17–18

    Google Scholar 

  8. Lagerstedt, R., Christiansson, P., Engborg U.: User Models in Search and Navigation Systems on the Internet”. Proceedings of the Third Congress held in conjunction with A/E/C Systems'96. ASCE Technical Councils on Computer Practices. (1996) 21–27 (http://delphi.kstr.ith.se/reports/aec96.htmi)

    Google Scholar 

  9. Honkela, T., Kaski, S., Lagus, K., Kohonen, T.: Self-Organizing Maps of Document Collections. Neural Networks Research Centre, Helsinki University of Technology. (5 A4 pages) (1997). http://www.diemme.it/-luigi/websom.htmi

    Google Scholar 

  10. Mace, S., Flohr, U., Dobson, R., Graham, T.: Weving a Better Web. BYTE, March (1998) 58–68.

    Google Scholar 

  11. Metadata Tools and Services. Distributed Systems Technology Center. University of Queensland Australia. http://metadata.net/dstc/.

    Google Scholar 

  12. Modin, J.: KBS-Class: A neural network tool for automatic content recognition of building texts. Construction Management and Economics. Special issue on Information Technology in Construction. (1995) 411–416

    Google Scholar 

  13. Resource Description Framework (RDF) Model and Syntax W3C Working Draft 16 Feb 1998. http://www.w3.org/TRJWD-rdf-syntax/

    Google Scholar 

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Ian Smith

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© 1998 Springer-Verlag Berlin Heidelberg

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Christiansson, P. (1998). Using knowledge nodes for knowledge discovery and collaboration. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030442

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  • DOI: https://doi.org/10.1007/BFb0030442

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64806-2

  • Online ISBN: 978-3-540-68593-7

  • eBook Packages: Springer Book Archive

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