A Framework for Searching Semantic Data and Services with SPARQL

Abstract

LNCS n°8831International audienceThe last years witnessed the success of Linked Open Data (LOD) project and the growing amount of semantic data sources available on the web. However, there is still a lot of data that will not be published as a fully materialized knowledge base (dynamic data, data with limited acces patterns, etc). Such data is in general available through web api or web services. In this paper, we introduce a SPARQL-driven approach for searching linked data and relevant services. In our framework, a user data query is analyzed and transformed into service requests. The resulting service requests, formatted for different semantic web services languages, are addressed to services repositories. Our system also features automatic web service composition to help finding more answers for user queries. The intended applications for such a framework vary from mashups development to aggregated search

Investigations into data published and consumed on the Web: a systematic mapping study

“…Also, there is considerable research in other issues, such as data cataloging (e.g., [16,108,110]), data infrastructure services (e.g., [4,50,111]), data integration (e.g., [56]), data linkage and data fusion (e.g., [32,42]), data publishing (e.g., [97]), and data visualization (e.g., [27,78]). Moreover, several studies investigate data consumption problems such as data discovery (e.g., [39,84]), data extraction (e.g., [6,29,71]), and data analysis (e.g., [72,117]). Furthermore, each one of these issues may have multiple research facets.…”