Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/hochstenbach_trusdekw_2023/#publication> ?p ?o }

• publication author me.
• publication author patrick_hochstenbach.
• publication author me.
• publication creator me.
• publication creator patrick_hochstenbach.
• publication creator me.
• publication about trust.
• publication about reasoning.
• publication about Semantic_Web.
• publication about RDF.
• publication about World_Wide_Web.
• publication author me.
• publication author patrick_hochstenbach.
• publication author me.
• publication coparticipatesWith me.
• publication coparticipatesWith patrick_hochstenbach.
• publication coparticipatesWith me.
• publication type ScholarlyArticle.
• publication type Article.
• publication type Document.
• publication type Q386724.
• publication type CreativeWork.
• publication type Document.
• publication type Work.
• publication type Document.
• publication P50 me.
• publication P50 patrick_hochstenbach.
• publication P50 me.
• publication maker me.
• publication maker patrick_hochstenbach.
• publication maker me.
• 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".
• publication mainEntityOfPage hochstenbach_trusdekw_2023.
• publication sameAs publication.
• publication isPrimaryTopicOf hochstenbach_trusdekw_2023.
• publication page hochstenbach_trusdekw_2023.