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 / Calí, Andrea; Di Noia, Tommaso; Lynch, Thomas W.; Ragone, Azzurra. - ELETTRONICO. - 2161:(2018). (Intervento presentato al convegno 26th Italian Symposium on Advanced Database Systems, SEBD 2018 tenutosi a Castellaneta Marina, Italy nel June 24-27, 2018).
Processing SPARQL Queries on Deep Web sources
Di Noia, Tommaso;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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
