A Mobile Query Service for Integrated Access to Large Numbers of Online Semantic Web Data Sources
Ver/ Abrir
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
A Mobile Query Service for Integrated Access to Large Numbers of Online Semantic Web Data SourcesFecha de publicación
2016-01xmlui.dri2xhtml.METS-1.0.item-edition
PreprintEditor
ElsevierCita bibliográfica
VAN WOENSEL, William; CASTELEYN, Sven. A Mobile Query Service for Integrated Access to Large Numbers of Online Semantic Web Data Sources. Journal of Web Semantics (2016), v. 36, pp. 58-76.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S1570826815000876Versión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
From the Semantic Web’s inception, a number of concurrent initiatives have given rise to multiple segments: large semantic datasets, exposed by query endpoints; online Semantic Web documents, in the form of RDF files; ... [+]
From the Semantic Web’s inception, a number of concurrent initiatives have given rise to multiple segments: large semantic datasets, exposed by query endpoints; online Semantic Web documents, in the form of RDF files; and semantically annotated web content (e.g., using RDFa), semantic sources in their own right. In various mobile application scenarios, online semantic data has proven to be useful. While query endpoints are most commonly exploited, they are mainly useful to expose large semantic datasets. Alternatively, mobile RDF stores are utilized to query local semantic data, but this requires the design-time identification and replication of relevant data. Instead, we present a mobile query service that supports on-the-fly and integrated querying of semantic data, originating from a largely unused portion of the Semantic Web, comprising online RDF files and semantics embedded in annotated webpages. To that end, our solution performs dynamic identification, retrieval and caching of query-relevant semantic data. We explore several data identification and caching alternatives, and investigate the utility of source metadata in optimizing these tasks. Further, we introduce a novel cache replacement strategy, fine- tuned to the described query dataset, and include explicit support for the Open World Assumption. An extensive experimental validation evaluates the query service and its alternative components. [-]
Publicado en
Journal of Web Semantics (2016), v. 36Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- INIT_Articles [743]
- LSI_Articles [361]