Querying deep web data sources as linked data
Authors
Anelli Vito Walter, Bellini Vito, Calì Andrea, De Santis Giuseppe, Di Noia Tommaso, Di Sciascio EugenioAbstract
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.
DOI
https://doi.org/10.1145/3102254.3102290BibTex references
@InProceedings{ABCDDD17,
author = "Anelli, Vito Walter and Bellini, Vito and Cal\`{\i}, Andrea and De Santis, Giuseppe and Di Noia, Tommaso and Di Sciascio, Eugenio",
title = "Querying deep web data sources as linked data",
booktitle = "Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, {WIMS} 2017, Amantea, Italy, June 19-22, 2017",
pages = "32:1--32:7",
year = "2017",
publisher = "ACM",
url = "http://sisinflab.poliba.it/Publications/2017/ABCDDD17"
}