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- 4 creator phijarana-rattanathikum.
- 4 creator sushmita-subramanian.
- 4 creator titus-schleyer.
- 4 type InProceedings.
- 4 label "Requirements for expertise location systems in biomedical science and the Semantic Web".
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- 4 abstract "Recent trends in science are increasing the need for researchers to form collaborations. To date, however, electronic systems have played only a minor role in helping scientists do so. This study used a literature review, and contextual inquiries and semistructured interviews with biomedical scientists to develop a preliminary set of requirements for electronic systems designed to help optimize how biomedical researchers choose collaborators. We then reviewed the requirements in light of emerging research on expertise location using the Semantic Web. The requirements include aspects such as comprehensive, complete and up-to-date online profiles that are easy to create and maintain; the ability to exploit social networks when searching for collaborators; information to help gauge the compatibility of personalities and work styles; and recommendations for effective searching and making “non-intuitive” connections between researchers. The Semantic Web offers significant opportunities for operationalizing the requirements, for instance through aggregating profile data from disparate sources, annotating contributions to social media using methods such as Semantically Interlinked Online Communities, and concept-based querying using ontologies. Future work should validate the preliminary requirements and explore in detail how the Semantic Web can help address them.".
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- 4 title "Requirements for expertise location systems in biomedical science and the Semantic Web".
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- 6 creator silvino-fernandez.
- 6 type InProceedings.
- 6 label "Smushing RDF instances: are Alice and Bob the same open source developer?".
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- 6 abstract "Analysing RDF data gathered from heterogeneous Semantic Web sources requires a previous step of consolidation in order to remove redundant instances (data smushing). Our aim is to explore and integrate smushing techniques to improve recall, i.e., to find as many redundant instances as possible. Two approaches to spot resources with the same identity are described: the first one is based on Logics, exploiting OWL inverse functional properties (IFP); the second one is based on traditional IR techniques, e.g., resource label comparison. We evaluate experimental results in the context of open source communities.".
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- 9 creator paul-buitelaar.