Matches in Ruben’s data for { ?s ?p ?o }
- publication author patrick_hochstenbach.
- publication author me.
- publication coparticipatesWith me.
- publication coparticipatesWith patrick_hochstenbach.
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- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Q386724.
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- publication title "RDF Surfaces: Computer Says No".
- publication isPartOf proceedings_of_the_1st_workshop_on_trusting_decentralised_knowledge_graphs_and_web_data.
- publication name "RDF Surfaces: Computer Says No".
- publication label "RDF Surfaces: Computer Says No".
- publication name "RDF Surfaces: Computer Says No".
- publication topic trust.
- publication topic reasoning.
- publication topic Semantic_Web.
- publication topic RDF.
- publication topic World_Wide_Web.
- publication subject trust.
- publication subject reasoning.
- publication subject Semantic_Web.
- publication subject RDF.
- publication subject World_Wide_Web.
- publication authorList b0_b1841.
- publication topic trust.
- publication topic reasoning.
- publication topic Semantic_Web.
- publication topic RDF.
- publication topic World_Wide_Web.
- publication abstract "Logic can define how agents are provided or denied access to resources, how to interlink resources using mining processes and provide users with choices for possible next steps in a workflow. These decisions are for the most part hidden, internal to machines processing data. In order to exchange this internal logic a portable Web logic is required which the Semantic Web could provide. Combining logic and data provides insights into the reasoning process and creates a new level of trust on the Semantic Web. Current Web logics carries only a fragment of first-order logic (FOL) to keep exchange languages decidable or easily processable. But, this is at a cost: the portability of logic. Machines require implicit agreements to know which fragment of logic is being exchanged and need a strategy for how to cope with the different fragments. These choices could obscure insights into the reasoning process. We created RDF Surfaces in order to express the full expressivity of FOL including saying explicitly ‘no’. This vision paper provides basic principles and compares existing work. Even though support for FOL is semi-decidable, we argue these problems are surmountable. RDF Surfaces span many use cases, including describing misuse of information, adding explainability and trust to reasoning, and providing scope for reasoning over streams of data and queries. RDF Surfaces provide the direct translation of FOL for the Semantic Web. We hope this vision paper attracts new implementers and opens the discussion to its formal specification.".
- publication datePublished "2023".
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- publication author seth_van_hooland.
- publication author raphael_hubain.
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- publication about Annotation.
- publication author seth_van_hooland.
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- publication type ScholarlyArticle.
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- publication type Q386724.
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- publication type Work.
- publication type Document.
- publication P50 seth_van_hooland.
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- publication title "Classification automatisée : rêve ou réalité ?".
- publication isPartOf information_donnees_et_documents.
- publication name "Classification automatisée : rêve ou réalité ?".
- publication label "Classification automatisée : rêve ou réalité ?".
- publication name "Classification automatisée : rêve ou réalité ?".
- publication topic Annotation.
- publication subject Annotation.
- publication authorList b0_b2719.
- publication topic Annotation.
- publication abstract "L’usage du traitement automatique des langues pour la classification et l’annotation documentaire reste aujourd’hui un rêve plus qu’une réalité. Pourtant, plus que jamais, les organisations font face à de grandes difficultés dans la gestion de leurs documents. Les vocabulaires contrôlés permettent certes d’organiser les contenus, mais toutes les organisations ne disposent pas de ressources suffisantes pour en implémenter. Au travers d’une étude de cas dans le secteur pharmaceutique, les auteurs de cet article démontrent comment une organisation établissement de taille réduite peut concevoir un vocabulaire contrôlé et indexer sémantiquement ses contenus et ce, sans dépendance vis-à-vis d’un fournisseur de logiciel grâce à des outils open source. Les données d’évaluation sont mises à disposition afin d’appliquer la méthodologie à d’autres domaines d’application.".
- publication datePublished "2016".
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- publication number "70".
- publication number "2".
- publication number "79".
- publication number "53".
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- publication locator "70".
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