43 résultats pour ‘OWL’.
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Discovering Entities – Part #2 in Knowledge Graphs
… owledge graph starting from a natural language text. Please refer to a prior blog /SWEL15/ to get the basis of this discussion. Motivation Nowadays we are literally overflown with notes, emails, documents, and news. The challenge often is to remain smiling while keeping the balance between our working duties and the information overflow, synthesizing …
https://semweb.solutions:8448/de-blog/201504-extractionofsemrelships/
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Discovering Entities – Part #1 in Knowledge Graphs
… owledge Graphs This blog is intended for an audience working with computer text assistance using or finding details of linked entities in a knowledge graph starting from a natural language text. Why linking graph entities to natural language text (or: “what is the use case”) Nowadays we are literally overflown with notes, emails, documents, …
https://semweb.solutions:8448/de-blog/201503-discoveringentities/
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Probabilistic Formal Systems
… OWL-enabled reasoner which uses Prolog terms to solve problems on probabilistic questions. TRILL uses the Tableau Calculus to represent and infer knowledge in a probabilistic manner. More information on TRILL can be found here. A typical problem which can be solved in TRILL is whether a given individual belongs to a special class. This problem …
https://semweb.solutions:8448/expertise/technologien/en-formalsystems/