space. Belleau,., Nolin,., Tourigny,., Rigault,., Morissette,. This is different on the Web of Data as data publishers may contribute to making the integration easier for data consumers by reusing terms from widely used vocabularies, publishing mappings between terms from different vocabularies, and by setting RDF links pointing at related resources. In Proceedings of the 6th European Semantic Web Conference, pages 520, 2009. As one can not assume Web data sources provide complete descriptions of resources, similarity heuristics need to be chosen that tolerate missing values. Linked Data applications can build on this work for choosing appropriate conflict resolution heuristics.
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The topic of this book is on how a set of principles and technologies, known as Linked Data, harnesses the ethos and infrastructure of the Web to enable data sharing and reuse on a massive scale. Knowledge Web project report, kweb/2004/D2.2.10/1.0, 2007. Ratings may originate from the information consumer, other information consumers (as, for instance, the ratings gathered by the search engine, see Section or domain experts. 3 4 /people/dave-smith 5 rdf:type foaf:Person ; 6 foaf:name "Dave Smith". More recently, Linked Data principles and technologies have been adopted by major players in the user-generated content and social media spheres, the most significant example of which is the development and adoption by Facebook of the Open Graph Protocol. Hyperlinks are therefore crucial in connecting content from different servers into a single global information space. 5 @prefix foaf: m/foaf/0.1/. This book aims to reflect the best practices that have emerged since the first days of the Linking Open Data project, and record the best practices for the reference of others. Rdfs and OWL are used in cases where subsumption relationships between terms should be represented (for instance that all athletes are also persons). Following Halevys claim about the unreasonable effectiveness of data 52, the consumer can use simple cross-checking or voting techniques, or more advanced machine learning and data mining methods to verify integration hints and to learn new correspondences from the data. James Hendler and, frank van Harmelen.
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