Skip to main content

BIKMAS: A Knowledge Engineering System for Bioinformatics

  • Conference paper
  • First Online:
  • 1711 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2412))

Abstract

We present the functional and architectural specification of BIKMAS, a Bioinformatics Knowledge Management System. BIKMAS contains an interactive user interface, a database in which several sources of knowledge are registered and a nucleus of knowledge management implemented with an algorithm that filters scientific information and assists the user in the task of using knowledge. BIKMAS is an active information system capable of retrieving, processing and filtering scientific information, checking for consistency and structuring the relevant information for its efficient distribution and convenient use. Two of the most important aspects of BIKMAS are that the system is based on an object-oriented database and it has been developed in JAVA tightly integrated in Internet.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abidi, S.R., Cleah. Y.N.: A Convergence of Knowledge Management and Data Mining: Towards “Knowledge-Driven” Strategic Services. 3rd Int. Conference on the Practical Applications of Knowledge Management (PAKeM′2000). Manchester (2000)

    Google Scholar 

  2. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: The KKD Process for Extracting Useful Knowledge from Volumes of Data. Communications of the ACM. 11( 1996) 27–34

    Article  Google Scholar 

  3. Jackson, S.E.: Team Composition in Organizational Settings: Issues in Managing and Increasingly Diverse Workforce. In: Worchel, S., Wood, W., Simpson, J. (eds). Group Process and Productivity, Sage Publications, Newbury Park, CA (1992) 138–173

    Google Scholar 

  4. Hackman, J.R.: The Design of Work Teams. In: Lorsch, J.W. (eds.): Handbook of Organizational Behaviour Prentice-Hall, Englewood Cliffs, NJ (1987) 315–342.

    Google Scholar 

  5. Ould, M.: Strategies for Software Engineering: The Managemet of Risk and Quality. Wiley, Chichester (Wiley series in software engineering practice)(1990)

    Google Scholar 

  6. Dix, A., Finlady, J. Abowd, G., Beale, R. (ed.): Human-Computer Interaction. Prentice-Hall. London (1998)

    Google Scholar 

  7. Wache, H., Vögele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., Hübner, S.: Ontology-based integration of information. A survey of existing approaches. In Proceedings of IJCAI-01 workshop: Ontologies and information sharing. Seatle, WA. (2001) 108–117

    Google Scholar 

  8. Veda, C.S., Debabrata, D., Harald, U., Sundaresan, S. An Ontology-Based Expert System for Database Design. Data and Knowledge Engineering. 28 (1998) 31–46

    Article  MATH  Google Scholar 

  9. 19. The Gene Ontology Consortium: Gene Ontology: Tool for the Unification of Biology. Nature Genetics. 25 (2000) 25–29

    Article  Google Scholar 

  10. Karp, P.D., Riley, M., Saier, M., Paulsen, I.T. Paley, S.M., Pellegrini-Toole, A.: The EcoCyc and MetaCyc Databases. Nucleic Acids Res. 28 (2000) 56–59

    Article  Google Scholar 

  11. Baker, P.G., Brass, A., Bechhofer, S., Goble, Paton, N., Stevens, R. TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. An Overview. In: Proceedings of the Sixth International Conference on Intelligent Systems for Molecular Biology. AAAI Press (1998) 25–34

    Google Scholar 

  12. Protege (2000). The Protégé Proyect. http://protégé.standford.edu

  13. Rumbaugh, J., Blaha, M., Premerlani, W., Eddy. F., Lorensen, W.: Object —orienting modelling and design. Englewoods Cliffs, New Jersey: Prentice Hall (1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

López-Alonso, V., Moreno, L., López-Campos, G., Maojo, V., Martín-Sanchez, F. (2002). BIKMAS: A Knowledge Engineering System for Bioinformatics. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_65

Download citation

  • DOI: https://doi.org/10.1007/3-540-45675-9_65

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44025-3

  • Online ISBN: 978-3-540-45675-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics