Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011)
0.01
0.0075442037 = product of:
0.02263261 = sum of:
0.02263261 = weight(_text_:on in 649) [ClassicSimilarity], result of:
0.02263261 = score(doc=649,freq=4.0), product of:
0.109763056 = queryWeight, product of:
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.04990557 = queryNorm
0.20619515 = fieldWeight in 649, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.046875 = fieldNorm(doc=649)
0.33333334 = coord(1/3)
- Abstract
- This paper is about a better understanding of 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 services 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.
- Source
- Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich