Philippe A. Martin

Philippe A. Martin

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.

Philippe A. Martin

This article shows why the diffusion and peer-reviewing of research results would be more efficient, precise and relevant if all or at least some parts of the descriptions and peer-reviews of research results took the form of a fine-grained semantic network, within articles or knowledge bases, as part of the Semantic Web. This article also shows some ways this can be done and hence how research journal/proceeding publishers could allow this. So far, the World Wide Web Consortium (W3C) has not proposed simple notations and cooperation protocols - similar to those illustrated or referred to in this article - but it now seems likely that Wikipedia/Wikidata, Google or the W3C will propose them sooner or later. Then, research journal/proceeding publishers and researchers may or may not quickly use this approach.

Philippe A. Martin

This article first lists reasons why - in the long term or when creating a new knowledge base (KB) for general knowledge sharing purposes - collaboratively building a well-organized KB does/can provide more possibilities, with on the whole no more costs, than the mainstream approach where knowledge creation and re-use involves searching, merging and creating (semi-)independent (relatively small) ontologies or semi-formal documents. The article lists elements required to achieve this and describes the main one: a KB editing protocol that keeps the KB free of automatically/manually detected inconsistencies while not forcing them to discuss or agree on terminology and beliefs nor requiring a selection committee.