Summary
Seeking information in text databases is a complex activity. It requires a variety of knowledge from the user. With the application of techniques from Artificial Intelligence we try to improve the retrieval effectiveness of traditional information retrieval systems (IRS). In particular, in the COBRA system we study the use of planning techniques for the control of the knowledge-based information retrieval process, the transformation of the search terms into the descriptors known to the system and their conceptual reformulation, and the generation of the search plan for the IRS. We define the approach in COBRA as cooperative planning for the information seeking process.
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© 1997 Springer-Verlag Berlin Heidelberg
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Carranza, C., Lenski, W. (1997). A Planning-Based Approach to Intelligent Information Retrieval in Text Databases. In: Klar, R., Opitz, O. (eds) Classification and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59051-1_33
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DOI: https://doi.org/10.1007/978-3-642-59051-1_33
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