The traditional Web is evolving into the Web of Data, which gathers huge collections of structured data over distributed, heterogeneous data sources. Live queries are needed to get current information out of this global data space. In live query processing, source selection allows the identification of the sources that most likely contain relevant content. Due to the semantic heterogeneity of the Web of Data, however, it is not always easy to assess relevancy. Context information might help in interpreting the user’s information needs. In this paper, we discuss how context information can be exploited to improve source selection.

Context Aware Source Selection for Linked Data

Catania, Barbara;Guerrini, Giovanna;Yaman, Beyza
2018

Abstract

The traditional Web is evolving into the Web of Data, which gathers huge collections of structured data over distributed, heterogeneous data sources. Live queries are needed to get current information out of this global data space. In live query processing, source selection allows the identification of the sources that most likely contain relevant content. Due to the semantic heterogeneity of the Web of Data, however, it is not always easy to assess relevancy. Context information might help in interpreting the user’s information needs. In this paper, we discuss how context information can be exploited to improve source selection.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/919111
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