Abstract
The development of intelligent Web search agents will become increasingly important as the amount of information on the Web continues to grow. Intelligently searching the Web depends on the searcher understanding not only the context of the query, including the person for whom the search is being done, but also the context of the results, including the information sources and the retrieved information itself. Consequently, intelligent Web search agents will need to have mechanisms for representing and using contextual knowledge. In this paper, we discuss the kinds of contexts and contextual knowledge such an agent will encounter. We use as an example a Web search agent we are beginning to develop, ferret, that will search for scholarly information about music. We then propose some ways in which explicitly represented, a priori contextual knowledge can be used by the search agent, and we discuss directions for future research.
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Turner, R.M., Turner, E.H., Wagner, T.A., Wheeler, T.J., Ogle, N.E. (2001). Using Explicit, A Priori Contextual Knowledge in an Intelligent Web Search Agent. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_26
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DOI: https://doi.org/10.1007/3-540-44607-9_26
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