Summary
The information retrieval problem is described starting from an analysis of the concepts “user’s information request” and “information offerings of texts”. It is shown that natural language phrases are a more adequate medium for expressing information requests and information offerings than character string based query and indexing languages complemented by Boolean operators.. The phrases must be represented as concepts to reach a language invariant level for rule based relevance analysis. The special type of representation called advanced thesaurus is used for the semantic representation of natural language phrases and for relevance processing. The analysis of the retrieval problem leads to a symmetric system structure.
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© 1994 Springer-Verlag Berlin · Heidelberg
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Rahmstorf, G. (1994). Information Retrieval Using Conceptual Representations of Phrases. In: Bock, HH., Lenski, W., Richter, M.M. (eds) Information Systems and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46808-7_7
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DOI: https://doi.org/10.1007/978-3-642-46808-7_7
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