Topic
Web Rule Language
About: Web Rule Language is a research topic. Over the lifetime, 42 publications have been published within this topic receiving 4142 citations.
Papers
Proceedings Article•
23 Oct 2009TL;DR: A method for detecting core faults includes positioning a magnetic yoke near at least one tooth of the core, and measuring a signal resulting from the injected magnetic flux and using the measured signal to detect core faults.
Abstract: The ability to extract information from OWL ontologies is a basic requirement. While SPARQL and its extensions are being used as an OWL query language in many applications, their understanding of OWL's semantics is at best incomplete. There is a pressing need for a concise, readable, and semantically robust query language for OWL. We describe a query language called SQWRL that we believe provides such a language. SQWRL is based on the SWRL rule language and uses SWRL's strong semantic foundation as its formal underpinning. The resulting language provides a small but powerful array of operators that allows users to construct queries on OWL ontologies. SQWRL also contains novel set operators that can be used to perform closure operations to allow limited forms of negation as failure, counting, and aggregation.
348 citations
TL;DR: This paper argues that, like in several basic computational languages, such as OCL and SQL, two kinds of negation are also needed for a Web rule language.
Abstract: In natural language, and in some knowledge representation systems, such as extended logic programs, there are two kinds of negation: a weak negation expressing non-truth, and a strong negation expressing explicit falsity. In this paper I argue that, like in several basic computational languages, such as OCL and SQL, two kinds of negation are also needed for a Web rule language.
73 citations
TL;DR: An ontology driven framework is developed to enhance and facilitate some important temporal querying requirements in general practice medicine, focusing on prescribing for hypertension, and shows potential to provide answers to clinically relevant queries with complex temporal relationships.
53 citations
TL;DR: A novel semantic approach to automatic feature recognition based on semantic query and reasoning is proposed and a case study demonstrates that the presented approach can effectively recognize and interpret interacting features and has good openness and scalability.
Abstract: Machining features contain considerable implicit semantic information on shape and machining processes and are dependent on a specific application domain. It is necessary to research and develop an open, shared, and scalable semantic approach to the automatic recognition of machining features. In this paper, the concepts of machining faces and machining features are analyzed, and a novel semantic approach to the automatic recognition of machining features is proposed. The semantic approach provides an ontology-based concept model for representing the machining faces and machining features. The implicit semantics of machining faces and machining features are defined by a set of explicit Semantics Web Rule Language (SWRL) rules. All of the geometric surfaces to be machined are annotated as a set of instances of the face concept and a set of semantic relationships between them, which constitute the fact base for semantic reasoning. Furthermore, an approach to automatic feature recognition based on semantic query and reasoning is proposed. A case study demonstrates that the presented approach can effectively recognize and interpret interacting features and has good openness and scalability.
51 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 1 |
| 2020 | 4 |
| 2019 | 1 |
| 2018 | 2 |
| 2017 | 1 |
| 2016 | 2 |