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dc.contributor.authorPérez Catalán, María
dc.contributor.authorBerlanga Llavori, Rafael
dc.contributor.authorSanz Blasco, Ismael
dc.contributor.authorAramburu Cabo, María José
dc.date.accessioned2013-05-29T09:24:30Z
dc.date.available2013-05-29T09:24:30Z
dc.date.issued2013-03
dc.identifier.issn0219-1377
dc.identifier.urihttp://hdl.handle.net/10234/65073
dc.description.abstractResearch in the Life Sciences depends on the integration of large, dis- tributed and heterogeneous web resources (e.g. data sources and web services). The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there are many candidate resources and there is little, mostly unstructured, metadata to be able to decide among them. In this paper we contribute with a semi-automatic approach, based on semantic techniques, to assist researchers in the discovery of the most appropriate web resources to ful ll a set of requirements. The main feature of our approach is that it exploits broad knowledge resources in order to annotate the unstructured texts that are available in the emerging web-based repositories of web resource metadata. The results show that the web resource discovery process bene ts from a semantic- based approach in several important aspects. One of the advantages is that the user can express her requirements in natural language avoiding the use of speci c vocabularies or query languages. Moreover, the discovery exploits not only the categories or tags of web resources, but also their description and documentation.ca_CA
dc.format.extent21 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherSpringer-Verlagca_CA
dc.relation.isPartOfKnowledge and Information Systems, 34, 3ca_CA
dc.rightsThe final publication is available at link.springer.comca_CA
dc.subjectWeb resources discoveryca_CA
dc.subjectrequirements-driven methodsca_CA
dc.subjectLife Sciencesca_CA
dc.subjectknowledge resourcesca_CA
dc.titleA semantic approach for the requirement-driven discovery of web resources in the Life Sciencesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1007/s10115-012-0498-5
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://link.springer.com/article/10.1007/s10115-012-0498-5ca_CA


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