ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Integrating linked data through RDFS and OWL: some lessons learnt
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
DC proposal: ontology learning from noisy linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Inductive learning of disjointness axioms
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Factorizing YAGO: scalable machine learning for linked data
Proceedings of the 21st international conference on World Wide Web
Mid-Ontology learning from linked data
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Web schema construction based on web ontology usage analysis
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
Environmental Modelling & Software
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Over the past 3 years, the Semantic Web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of the Semantic Web vision: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. In this vision statement we discuss these challenges and argue, that research approaches tackling these challenges should be integrated into a mutual refinement cycle. We also present two crucial use-cases for the widespread adoption of Linked Data.