A Science Model Driven Retrieval Prototype

Details A Science Model Driven Retrieval Prototype A Science Model Driven Retrieval Prototype

2011-01-09

arxiv.org/abs/1101.1637v1

Computer Science

Information Retrieval

8 pages, 4 figures, Cologne Conference on Interoperability and Semantics in Knowledge Organization

Scientific paper

This paper is about a better understanding on the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-driven Digital Libraries. Three science model driven retrieval services are presented: co-word analysis based query expansion, re-ranking via Bradfordizing and author centrality. The services are evaluated with relevance assessments from which two important implications emerge: (1) precision values of the retrieval service are the same or better than the tf-idf retrieval baseline and (2) each service retrieved a disjoint set of documents. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. The proposed models and derived retrieval services therefore open up new viewpoints on the scientific knowledge space and provide an alternative framework to structure scholarly information systems.

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