Search results
Results from the WOW.Com Content Network
The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies.Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects.
The Semantic Web Rule Language (SWRL) is a proposed language for the Semantic Web that can be used to express rules as well as logic, combining OWL DL or OWL Lite with a subset of the Rule Markup Language (itself a subset of Datalog).
Semantic processing of media data calls for perceptual modeling of domain concepts with their media properties. M-OWL has been proposed as an ontology language that enables such perceptual modeling. While M-OWL is a syntactic extension of OWL, it uses a completely different semantics based on probabilistic causal model of the world.
OWL-S is an ontology built on top of Web Ontology Language (OWL) by the DARPA DAML program. [1] It replaces the former DAML-S ontology. "OWL-S is an ontology, within the OWL-based framework of the Semantic Web, for describing Semantic Web Services. It will enable users and software agents to automatically discover, invoke, compose, and monitor ...
The Rule Interchange Format (RIF) is a W3C Recommendation.RIF is part of the infrastructure for the semantic web, along with (principally) SPARQL, RDF and OWL.Although originally envisioned by many as a "rules layer" for the semantic web, in reality the design of RIF is based on the observation that there are many "rules languages" in existence, and what is needed is to exchange rules between ...
It is of particular importance in providing a logical formalism for ontologies and the Semantic Web: the Web Ontology Language (OWL) and its profiles are based on DLs. The most notable application of DLs and OWL is in biomedical informatics where DL assists in the codification of biomedical knowledge. [citation needed]
The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) [ 1 ] and OWL (Web Ontology Language). [ 2 ]
He has been conducting research into the Semantic Web since 2000, and was one of the founder members of the OWL-S coalition, [3] jointly responsible for developing the OWL-S ontology within the OWL-based framework of the Semantic Web, that supported the description of Semantic Web Services. [4]