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Titlebook: Semantic Web Collaborative Spaces; Second International Pascal Molli,John G. Breslin,Maria-Esther Vidal Conference proceedings 2016 Springe

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Discovering Wikipedia Conventions Using DBpedia Propertiesions are used to recommend the best convention(s) to connect disconnected articles. We report on an exhaustive evaluation that shows three remarkable elements: (1) The evidence of a relevant information gap between DBpedia and Wikipedia; (2) Behavior and accuracy of the BlueFinder algorithm; and (3)
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Conference proceedings 2016 2013, held in Montpellier, France, in May 2013, andthe Third International Workshop on Semantic Web Collaborative Spaces, SWCS2014, held in Trentino, Italy, in October 2014...The 6 revised extended papers presented were carefullyreviewed and selected from 10 submissions. The papers are grouped in t
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From Ontology to Semantic Wiki – Designing Annotation and Browse Interfaces for Given Ontologiescates Wikipedia infobox displays and directly exports the triples that DBpedia indirectly derives from them. Forms assist valid user entry of this data with features such as autocompletion. This unifies infobox displays with DBpedia triples while adding assistive data entry in a unified collaborative space.
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Challenges for Semantically Driven Collaborative Spacesof domains, e.g., Life Sciences, Media, and Government. Albeit large in volume, Linked Data is essentially read-only and most collaborative tasks of cleaning, enriching, and reasoning are not dynamically available. Collaboration between data producers and consumers is essential for overcoming these
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Shared and Personal Views on Collaborative Semantic Tablesource management is concerned. A support to face such challenges is represented by semantic annotations. However, especially in collaborative environments, disagreements can easily rise, leading to incoherent, poor and ultimately useless annotations. The possibility of keeping track of “private anno
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Wikis and Collaborative Systems for Large Formal Mathematicshis naturally poses a number of interesting problems concerning how should humans and machines collaborate on such deeply semantic and computer-assisted projects. In this paper we provide an overview of the wikis and web-based systems for such collaboration involving humans and also AI systems over
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