Keyword search on RDF datasets

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the last years, the Resource Description Framework (RDF) has gained popularity as the de-facto representation format for heterogeneous structured data on the Web. RDF datasets are interrogated via the SPARQL language, which is often not intuitive for a user since it requires the knowledge of the syntax, the underlying structure of the dataset and the IRIs. On the other hand, today users are accustomed to Web-based search facilities that propose simple keyword-based interfaces to interrogate data. Hence, in order to ease the access to the data to users, we aim to develop of an effective and efficient system for keyword search over RDF graphs. Furthermore, we propose a methodology to properly evaluate these systems. Finally, we aim to address the problem of the explainability of the information contained in the answers to non-expert users.

Cite

CITATION STYLE

APA

Dosso, D. (2019). Keyword search on RDF datasets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11438 LNCS, pp. 332–336). Springer Verlag. https://doi.org/10.1007/978-3-030-15719-7_44

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free