Using Search Paradigms and Architecture Information Components to Consume Linked Data

The success of the Linked Open Data Initiative has increased the amount of information available on the Web. However, the Web content published under this initiative cannot be consumed by users who are unfamiliar with Semantic Web technologies (RDF, SPARQL, Ontologies, etc.), because they need to understand the structure, provenance and the way in which data are queried, and this can be complex for non-techusers. In this paper the process development of a Web application is described, which uses components borrowed from Information Architecture and search paradigms applied to the task of consuming Linked Data by non-tech-users. These data are available via a SPARQL endpoint (it is a SPARQL protocol service that enables users to query a knowledge base known as RDF triples database or triplestore), which can be queried through a HTTP protocol from a Web browser. This proposal allows full-text search over a bibliographic dataset and faceted search, based on representative concepts of it (facets). Using these paradigms allows us to consume Linked Data in an intuitive and friendly way, which reduces the technical barrier that limits users in this process. In addition this proposal has been tested through a complexity analysis study. This study calculates complexity metrics, by measuring usability dimensions based on user experience for executing search tasks.