Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011)
0.02
0.015048979 = product of:
0.09029387 = sum of:
0.09029387 = weight(_text_:services in 649) [ClassicSimilarity], result of:
0.09029387 = score(doc=649,freq=10.0), product of:
0.16591617 = queryWeight, product of:
3.6713707 = idf(docFreq=3057, maxDocs=44218)
0.045191888 = queryNorm
0.5442138 = fieldWeight in 649, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.6713707 = idf(docFreq=3057, maxDocs=44218)
0.046875 = fieldNorm(doc=649)
0.16666667 = coord(1/6)
- 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.
