A semantic-augmented multi-level matching model of web services

We want to provide the specifications as Web data as well, such that agents can uniformly query and reason about agent systems, Web services, data and ontologies.. Semantic

The construction of a plan is based an Algorithm for automatic discovery of semantic Web services; we have shown previously to find the similarity between two

Currently, these reasoners act as engines for the SWRL rule language and the SQWRL query language, though they can also be used with OWL ontologies that do not contain rules

If some identifiers are encoded using single words and more than one lexical encoding style is used for the rest of the identifiers in an ontology, then the single word category

Our aim is to build an OWL (Ontology Web Language)[4] ontology for quan- tum mechanics which will model the main concepts that appear in the theory and can be useful in the

In this article we report on our experiences using the OWL 2 reasoners HermiT and Pellet to validate domain-specific languages de- fined using UML-like metamodels.. Currently

Support for parsing ontologies with description graphs and description graph rules is available in an extension of the OWL API 7 and HermiT can be used for reasoning with

It is our firm conviction that a semantic representation – be it for the purpose lightweight annotation, consistency checking or legal knowledge based reasoning (planning, assessment)