Treatment of Semantic Heterogeneity in Information Retrieval

Details Treatment of Semantic Heterogeneity in Information Retrieval Treatment of Semantic Heterogeneity in Information Retrieval

2011-02-18

arxiv.org/abs/1102.3866v1

Computer Science

Information Retrieval

Technical Report (Arbeitsbericht) GESIS - Leibniz Institute for the Social Sciences

Scientific paper

The first step to handle semantic heterogeneity should be the attempt to enrich the semantic information about documents, i.e. to fill up the gaps in the documents meta-data automatically. Section 2 describes a set of cascading deductive and heuristic extraction rules, which were developed in the project CARMEN for the domain of Social Sciences. The mapping between different terminologies can be done by using intellectual, statistical and/or neural network transfer modules. Intellectual transfers use cross-concordances between different classification schemes or thesauri. Section 3 describes the creation, storage and handling of such transfers.

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