Anelli, V.W. and Bellini, V. and Calì, Andrea and De Santis, G. and di Noia, T. and di Sciascio, E. (2017) Querying deep web data sources as linked data. In: UNSPECIFIED (ed.) Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics - WIMS '17. The Association for Computing Machinery, pp. 1-7. ISBN 9781450352253.
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.
Metadata
| Item Type: | Book Section |
|---|---|
| Additional Information: | Amantea, Italy — June 19 - 22, 2017 |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Data Analytics, Birkbeck Institute for |
| Depositing User: | Administrator |
| Date Deposited: | 02 Jul 2018 09:41 |
| Last Modified: | 09 Aug 2023 12:42 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/20195 |
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