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oaioai:EVASTAR-Karlsruhe.de:1000041982

Rank-aware, Approximate Query Processing on the Semantic Web

Authors
Publication date
1 January 2014
Publisher
KIT-Bibliothek, Karlsruhe
Doi

    Abstract

    Search over the Semantic Web corpus frequently leads to queries having large result sets. So, in order to discover relevant data elements, users must rely on ranking techniques to sort results according to their relevance. At the same time, applications oftentimes deal with information needs, which do not require complete and exact results. In this thesis, we face the problem of how to process queries over Web data in an approximate and rank-aware fashion

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    This paper was published in KITopen.

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