The Deep Web is constituted by data accessible through dynamic Web pages requested through a Web interface. While Deep Web data sources have been usually modelled as relational in the literature, in many cases it is useful to export Deep Web data as Linked Data sets. In this context, processing queries poses some algorithmic challenges due to the inherent limitations of Deep Web sources which, requiring some inputs to be queried, function as services. In this paper we present a framework and a system to export Deep Web data as Linked Data sets. Further, we characterise a class of SPARQL queries that are executable directly, in spite of the limitations.

Processing SPARQL Queries on Deep Web sources

Di Noia T.;Ragone Azzurra
2018-01-01

Abstract

The Deep Web is constituted by data accessible through dynamic Web pages requested through a Web interface. While Deep Web data sources have been usually modelled as relational in the literature, in many cases it is useful to export Deep Web data as Linked Data sets. In this context, processing queries poses some algorithmic challenges due to the inherent limitations of Deep Web sources which, requiring some inputs to be queried, function as services. In this paper we present a framework and a system to export Deep Web data as Linked Data sets. Further, we characterise a class of SPARQL queries that are executable directly, in spite of the limitations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/401551
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