The Deep Web is constituted by dynamically generated pages, usually requested through HTML forms; it is notoriously difficult to query and to search, as its pages are obviously non-indexable. Recently, Deep Web data have been made accessible through RESTful services that return information usually structured in JSON or XML format. We propose techniques to make the Deep Web available in the Linked Data Cloud, and we study algorithms for processing queries posed in a transparent way on the Linked Data, providing answers based on the underlying Deep Web sources. We present a software prototype that exposes RESTful services as Linked Data datasets thus allowing a smoother semantic integration of different structured information sources in a global data and knowledge space.

Querying Deep Web Data Sources as Linked Data / Anelli, Vito Walter; Bellini, Vito; Calì, Andrea; De Santis, Giuseppe; Di Noia, Tommaso; Di Sciascio, Eugenio. - (2017). (Intervento presentato al convegno 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 tenutosi a Amantea, Italy nel June 19-22, 2017) [10.1145/3102254.3102290].

Querying Deep Web Data Sources as Linked Data

Anelli, Vito Walter;Bellini, Vito;De Santis, Giuseppe;Di Noia, Tommaso;Di Sciascio, Eugenio
2017-01-01

Abstract

The Deep Web is constituted by dynamically generated pages, usually requested through HTML forms; it is notoriously difficult to query and to search, as its pages are obviously non-indexable. Recently, Deep Web data have been made accessible through RESTful services that return information usually structured in JSON or XML format. We propose techniques to make the Deep Web available in the Linked Data Cloud, and we study algorithms for processing queries posed in a transparent way on the Linked Data, providing answers based on the underlying Deep Web sources. We present a software prototype that exposes RESTful services as Linked Data datasets thus allowing a smoother semantic integration of different structured information sources in a global data and knowledge space.
2017
7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017
978-1-4503-5225-3
https://dl.acm.org/citation.cfm?doid=3102254.3102290
Querying Deep Web Data Sources as Linked Data / Anelli, Vito Walter; Bellini, Vito; Calì, Andrea; De Santis, Giuseppe; Di Noia, Tommaso; Di Sciascio, Eugenio. - (2017). (Intervento presentato al convegno 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017 tenutosi a Amantea, Italy nel June 19-22, 2017) [10.1145/3102254.3102290].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/117090
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact