Communications of the ACM - Supporting community and building social capital
Ontology Matching
ACM Computing Surveys (CSUR)
Quality-driven information filtering using the WIQA policy framework
Web Semantics: Science, Services and Agents on the World Wide Web
Semantic similarity and selection of resources published according to linked data best practice
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Sieve: linked data quality assessment and fusion
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Assessing linked data mappings using network measures
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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Linked data best practices are getting extremely popular: various companies and public institutions have started taking advantage of linked data principles for exposing their datasets, and for relating their datasets to those served by third parties. Such enthusiasm is due to the linked data promise of evolving into a Global Data Space. Linksets are sets of links relating datasets and they surely play a fundamental role in this promise. However, a stable and well-accepted notion of linkset quality has not been yet defined. This paper contributes to overcome this lack by proposing a linkset quality measure. Among the different quality dimensions that can be addressed, the proposed measure focuses on completeness. The paper formally defines novel scoring functions and proposes an interpretation of these functions when maintaining and complementing third party datasets.