73 citations · 170 across the 21 of their papers we have counts for
3 papers · 2 filters
Treatment of Semantic Heterogeneity in Information Retrieval
Heiko Hellweg, Jürgen Krause, Thomas Mandl +4
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 automa…
Applying Science Models for Search
Philipp Mayr, Peter Mutschke, Vivien Petras +2
The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quality. The paper discusses th…
A Science Model Driven Retrieval Prototype
Philipp Mayr, Philipp Schaer, Peter Mutschke
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-dr…