Abstract
Although search engines are often used for information retrieval (IR) from the World Wide Web (WWW), current search engine technology seems obsolete. The quality of query results from today’s search engines is unacceptable, creating a demand for new information search and retrieval techniques. The conventional IR methods often lack the flexibility to adapt to changes in the content of the WWW. This paper presents an overview of new developments in evolutionary and adaptive IR and proposes a system (E.Coli search) where an adaptive population of intelligent agents forage the web in search of relevant documents.
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
Aggarwal, C.C., Al-Garawi, F., Yu, P.S.: Intelligent Crawling on the World Wide Web with Arbitrary Predicates. In: WWW10 2001. ACM, Hong Kong (2001)
Albert, Jeong, Barabasi: Diameter of the World Wide Web. Nature 401(130) (1999)
Berry, M.W., Browne, M.: Understanding Search Engines Mathematical Modeling and Text Retrieval Society for Industrial and Applied Mathematics, Philadelphia (1999)
Blew, R.K.: Finding out About: a cognitive perspective on search engine technology. Cambridge University Press, Cambridge (2000)
Blockeel, H., Kosala, R.: Web Mining Research: A Survey SIGKDD Explorations. ACM SIGKDD (2000)
Bunde, A., Havlin, S. (eds.): Fractals in Science. Springer, Berlin (1994)
Chen, H., Chung, Y., Ramsey, M., Yang, C.: An intelligent personal spider (agent) for dynamic internet/intranet searching (1998)
De Bra, P.: Post Information retrieval in the world wide web: Making client-based searching feasible. In: Is’ International WWW Conference, Geneva (1994)
Kuscu, I.: An Adaptive Approach to Organizational Knowledge Management. Knowledge and Information: Journal of the KMCI 1(2) (2001)
Kim, Y.H., Kim, S., Eom, J.H., Zhang, B.-T.: Scai experiments on trec-9. In: Proceedings of the Ninth Text REtrieval Conference {TREC-9), pp. 392–399 (2000)
Kim, S., Zhang, B.-T.: Evolutionary learning of web document structure for information retrieval. In: Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, May 27-30, pp. 1253–1260. IEEE Press, Los Alamitos (2001)
Pant, G., Menczer, F.: Myspiders: Evolve your own intelligent web crawlers. Autonomous Agents and Multi-Agent Systems 5(2), 221–229 (2002)
Langton, C.G.: Artificial Life: The Proceedings of an Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems. Addison-Wesley, Redwood City (1989)
Lawrence, S., Giles, C.L.: Accessibility and Distribution of Information on the Web. Nature 400(6740), 107–109 (1999)
Levy, S.: Artificial Life The Quest for a New Creation Jonathan Cape, London (1992)
Maes, P.: Agents that Reduce Work and Information Overload. Communications of the ACM 37(7) (July 1994)
Menczer, F.: Complementing Search Engines with Online Web Mining Agents. Science. Elsevier, Amsterdam (2002)
Menczer, F., Richard, K.: Blew Adaptive Information Agents in Distributed Textual Environments. In: Agents 1998: Proceedings of the Second International Conference on Autonomous Agents, Minneapolis, MN. ACM, New York (1998)
Menczer, F., Richard, K.: Adaptive retrieval agents: Internalizing local context and scaling up to the web. Machine Learning 39(2/3), 203–242 (2000)
Menczer, F., Richard, K.: Belew, W. Willuhn. Artificial life applied to adaptive information agents. In: AAAI Spring Symposium on Information Gathering (1995)
Moukas, A.: Amalthaea: Information discovery and filtering using a multiagent evolving ecosystem. In: Proceedings of the Conference on Practical Applications of Agents and Multiagent Technology (1996)
Moukas, A., Maes, P.: Amalthaea: An evolving multi-agent information filtering and discovery system for the WWW. Autonomous Agents and Multi-Agent Systems l(l), 59–88 (1998)
Oh, J.C.: Cooperating search agents explore more than defecting search agents in the internet information access. In: Proceedings of the 2001 Congress on Evolutionary Computation CEC200I, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, May 27-30, pp. 1261–1268. IEEE Press, Los Alamitos (2001)
Pagliarini, L., Dolan, A., Menczer, F., Lund, H.H.: A Life meets web: Lessons learned. In: Virtual Worlds, pp. 156-167 (1998)
Pathak, P., Gordon, M., Fan, W.: Effective information retrieval using genetic algorithms based matching functions adaptation. In: HICSS (2000)
Pereira, F., Costa, E.: How learning improves the performance of evolutionary agents: a case study with an information retrieval system for a distributed environment
Pereira, F.B., Costa, E.: How adaptive agents learn to deal with incomplete queries in distributed information environments. In: Proc. of the 2000 Congress on Evolutionary Computation, pp. 1329–1336. IEEE Computer Society Press, Los Alamitos (2000)
Walker, R.L.: Assessment of the web using genetic programming. In: Banzhaf, W., Daida, J., Eiben, A.E., Garzon, M.H., Honavar, V., Jakiela, M., Smith, R.E. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference, Orlando, Florida, USA, July 13-17, vol. 2, pp. 1750–1755. Morgan Kaufmann, San Francisco (1999)
Walker, R.L.: Dynamic load balancing model: Preliminary assessment of a biological model for a pseudo-search engine. In: SPDP: IEEE Symposium on Parallel and Distributed Processing. ACM Special Interest Group on Computer Architecture (S1GARCH). IEEE Computer Society, Los Alamitos (2000)
Walker, R.L.: Parallel clustering system using the methodologies of evolutionary computations. In: Proceedings of the 2001 Congress on Evolutionary Computation CEC 200I, COEX, World Trade Center, 159 Samseongdong, Gangnam-gu, Seoul, Korea, May 27-30, pp. 831-938. IEEE Press, Los Alamitos ( 2001)
Walker, R.L.: Search engine case study searching the web using genetic programming. In: Parallel Computing, vol. 7, Elsevier, Amsterdam (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mirikitani, D.T., Kushchu, I. (2003). E.Coli Search: Self Replicating Agents for Web Based Information Retrieval. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_84
Download citation
DOI: https://doi.org/10.1007/978-3-540-45080-1_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40550-4
Online ISBN: 978-3-540-45080-1
eBook Packages: Springer Book Archive