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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284, 34–43 (2001)
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)
Goble, C.: The Grid Needs you. In: International Conference on Cooperative Object Oriented Information Systems, pp. 589–600 (2003)
Gómez-Pérez, A.: Towards a Framework to Verify Knowledge Sharing Technology. Expert Systems with Applications 11, 519–529 (1996)
Gómez-Pérez, A.: Knowledge Sharing and Reuse. The Handbook on Applied Expert Systems, 1–36 (1998)
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5, 199–220 (1993)
Hendler, J.: Agents on the Semantic Web. IEEE Intelligent Systems 16(2) (2001)
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)
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)
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)
Wooldridge, M.: An Introduction to Multiagent Systems. John Wiley and Sons, Chichester (2002)
Rights 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)