Organizing Linked Data Quality Related Methods

Abstract : This article presents the top-level of an ontology categorizing and generalizing best practices and quality criteria or measures for Linked Data. It permits to compare these techniques and have a synthetic organized view of what can or should be done for knowledge sharing purposes. This ontology is part of a general knowledge base that can be accessed and complemented by any Web user. Thus, it can be seen as a cooperatively built library for the above cited elements. Since they permit to evaluate information objects and create better ones, these elements also permit knowledge-based tools and techniques – as well as knowledge providers – to be evaluated and categorized based on their input/output information objects. One top-level distinction permitting to organize this ontology is the one between content, medium and containers of descriptions. Various structural, ontological, syntactical and lexical distinctions are then used.
Type de document :
Communication dans un congrès
Proceedings of the International Conference on Information and Knowledge Engineering, Jul 2012, Nevada, United States. pp.376--382, 2012
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http://hal.univ-reunion.fr/hal-01187220
Contributeur : Nicolas Alarcon <>
Soumis le : mercredi 26 août 2015 - 12:40:54
Dernière modification le : jeudi 15 mars 2018 - 09:42:08

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  • HAL Id : hal-01187220, version 1

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Philippe Martin. Organizing Linked Data Quality Related Methods. Proceedings of the International Conference on Information and Knowledge Engineering, Jul 2012, Nevada, United States. pp.376--382, 2012. 〈hal-01187220〉

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