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CORR
2011
Springer

A Science Model Driven Retrieval Prototype

8 years 15 days ago
A Science Model Driven Retrieval Prototype
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 tfidf 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.
Philipp Mayr, Philipp Schaer, Peter Mutschke
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CORR
Authors Philipp Mayr, Philipp Schaer, Peter Mutschke
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