A semantic approach for the requirement-driven discovery of web resources in the Life Sciences
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Other documents of the author: Pérez Catalán, María; Berlanga Llavori, Rafael; Sanz, Ismael; Aramburu Cabo, María José
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Title
A semantic approach for the requirement-driven discovery of web resources in the Life SciencesDate
2013-03Publisher
Springer-VerlagISSN
0219-1377Type
info:eu-repo/semantics/articlePublisher version
http://link.springer.com/article/10.1007/s10115-012-0498-5Abstract
Research 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 ... [+]
Research 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. [-]
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Knowledge and Information Systems, 34, 3Rights
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