Enabling Keyword Search on Linked Data Repositories: An Ontology-Based Approach
Resumen: The Web is experiencing a continuous change that is leading to the realization of the Semantic Web. Initiatives such as Linked Data have made a huge amount of structured information publicly available, encouraging the rest of the Internet community to tag their resources with it. Unfortunately, the amount of interlinked domains and information is so big that handling it e¿ciently has become really di¿cult for ¿nal users. Thus, we have to provide them with tools to search the needed resources in an easy way. In this paper, we propose an approach to provide users with di¿erent domain views on a general data repository, enabling them to perform both keyword and re¿nement searches. Our system exploits the knowledge stored in ontologies to 1) perform e¿cient keyword searches over a speci¿ed domain, and 2) re¿ne the user’s domain searches. In this way, we enable the de¿nition of di¿erent semantic views on Linked Data datasets without having to change the original semantics. We present a prototype of our approach that focuses on the case of DBpedia, which provides a semantic way to access to Wikipedia.
Idioma: Inglés
DOI: 10.3233/KES-130255
Año: 2013
Publicado en: International journal of Knowledge-based intelligent Engineering Systems 17, 1 (2013), 67-77
ISSN: 1327-2314

Financiación: info:eu-repo/grantAgreement/ES/MICINN/TIN2010-21387-C02-02
Financiación: info:eu-repo/grantAgreement/ES/MICYT/TIN2011-24660
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Proy. investigación HYA (Dpto. Informát.Ingenie.Sistms.)

Derechos Reservados Derechos reservados por el editor de la revista


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