Skip to main content

Current Issues and the Need for Ontologies and Agents

  • Chapter
Ontology-Based Multi-Agent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 219))

  • 1129 Accesses

Introduction

The internet had become a major source of information in many knowledge domains. The general public uses Google predominantly to obtain in-formation pertaining to a variety of knowledge domains. Generally, users will have different access to, and understanding of, the results they obtain from their ‘Google’ search. As Google is not built to separate authoritative from dubious in-formation sources, users may have to rely on specialized search engines.

The large volume of published information that is being accounted for is an additional problem that complicates the search. For example, biomedical re-searchers may use PubMed which is a service of the U.S. National Library of Medicine that includes over 16 million citations from life science journals for biomedical articles going back to the 1950s. Using the PubMed search engine, the user receives a list of journals related to the given keyword. It is then left to the user to read each journal individually and to try to establish links within this information. This would be easy if the journal list consisted of a small number of journals. But the journal list usually consists of thousands of journals, and medical researchers usually do not have time to go through these results thoroughly. There is a high chance that some important information will be omitted.

There is a need to design an intelligent search engine that performs searches not only on keywords, but also on the meaning of the information. The search engine would go through the available information, understand this information, and select highly relevant information; moreover, it would link this information and present it in a meaningful format to the users.

In this chapter, we will briefly introduce the technologies underpinning such meaningful representation of information and the use of an intelligent and supportive retrieval approach. We examine current issues related to information representation, information access and information retrieval on the web. We will introduce the meaning of web semantics and the role of ontologies and agent tech-nologies in the creation of semantically rich environments.

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

Access this chapter

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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284, 34–43 (2001)

    Article  Google Scholar 

  2. Brodie, M.L.: Computer Science 2.0: A New World of Data Management. In: 33rd International Conference on Very Large Data Bases Vienna, Austria (2007)

    Google Scholar 

  3. Goble, C.: The Grid Needs you. In: International Conference on Cooperative Object Oriented Information Systems, pp. 589–600 (2003)

    Google Scholar 

  4. Gómez-Pérez, A.: Towards a Framework to Verify Knowledge Sharing Technology. Expert Systems with Applications 11, 519–529 (1996)

    Article  Google Scholar 

  5. Gómez-Pérez, A.: Knowledge Sharing and Reuse. The Handbook on Applied Expert Systems, 1–36 (1998)

    Google Scholar 

  6. Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5, 199–220 (1993)

    Article  Google Scholar 

  7. Hendler, J.: Agents on the Semantic Web. IEEE Intelligent Systems 16(2) (2001)

    Google Scholar 

  8. Liu, J., Juo, S.H., Dewan, A., Grunn, A., Tong, X., Brito, M., Park, N., Loth, J.E., Kanyas, K., Lerer, B., Endicott, J., Penchaszadeh, G., Knowles, J.A., Ott, J., Gilliam, T.C., Baron, M.: Evidence for a putative bipolar disorder locus on 2p13-16 and other potential loci on 4q31, 7q34, 8q13, 9q31, 10q21-24, 13q32, 14q21 and 17q11-12. Mol. Psychiatry 8, 333–342 (2003)

    Article  Google Scholar 

  9. Stevens, R., Baker, P., Bechhofer, S., Ng, G., Jacoby, A., Paton, N.W., Goble, C.A., Brass, A.: TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. Bioinformatics 16, 184–186 (2002)

    Article  Google Scholar 

  10. Uschold, M.: Where are the Semantics in the Semantic Web? In: Proceedings of the Ontologies in Agent Systems Workshop, held at the Autonomous Agents Conference, Canada (2001)

    Google Scholar 

  11. Wooldridge, M.: An Introduction to Multiagent Systems. John Wiley and Sons, Chichester (2002)

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Hadzic, M., Wongthongtham, P., Dillon, T., Chang, E. (2009). Current Issues and the Need for Ontologies and Agents. In: Ontology-Based Multi-Agent Systems. Studies in Computational Intelligence, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01904-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01904-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01903-6

  • Online ISBN: 978-3-642-01904-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics