The OWL-Services (OWL-S) suite of ontologies is the most mature and probably the most widely deployed comprehensive Semantic Web Service technology. However, the intended semantics of OWL-S service descriptions is not expressed (or expressable, often) in OWL. Furthermore, working with OWL-S descriptions at the RDF or even the OWL level is quite difficult and tedious as they tend to be at the wr...

This paper presents the OWL API a high level Application Programming Interface (API) for working with OWL 2 ontologies. The API is closely aligned with the OWL 2 structural specification. It supports parsing and rendering in the syntaxes defined in the W3C specification, namely, the Functional Syntax, RDF/XML, OWL/XML and the Manchester OWL Syntax. Finally, the reference implementation of the A...

With OWL 2 about to be completed, it is the right time to start discussions on possible future modifications of OWL. We present here a number of suggestions in order to discuss them with the OWL user community. They encompass expressive extensions on polynomial OWL 2 profiles, a suggestion for an OWL Rules language, and expressive extensions for OWL DL.

The Manchester OWL syntax is a user-friendly syntax for OWL DL, fundamentally based on collecting all information about a particular class, property, or individual into a single construct, called a frame. The Manchester OWL syntax has been revised to be a syntax for OWL 1.1, involving adding the new OWL 1.1 description constructs and the new axioms allowed in OWL 1.1 ontologies.

Probabilistic ontologies incorporate uncertain and incomplete information into domain ontologies, allowing uncertainty in attributes of and relationships among domain entities to be represented in a consistent and coherent manner. The probabilistic ontology language PR-OWL provides OWL constructs for representing multi-entity Bayesian network (MEBN) theories. Although compatibility with OWL was...

OWL is the ontology language recommended by the W3C. OWL is heavily based on the knowledge representation languages called Description Logic, which provide the basic representation features of OWL. OWL also includes facilities that integrate it into the mainstream of the Web, including use of IRIs as names, XML Schema datatypes, and ontologies as Web documents, which can then import other OWL o...

Representing the Foundational Model of Anatomy (FMA) in OWL 2 W3C standard, is essential for its interoperability with other biomedical ontologies, its design, maintenance, and quality insurance. The paper describes the method and ‘FMA-OWLizer’ tool that moves the FMA to OWL 2. One main strength of the approach is to leverage OWL expressiveness to explicit some implicit semantics and naming con...

In this report we describe a method to perform type inference over data stored in an RDBMS, where rules over the data are specified using OWL-DL. Since OWL-DL is an implementation of the Description Logic (DL) SHOIN (D), we are in effect implementing a method for SHOIN (D) reasoning in relational databases. Reasoning make be broken down into two processes of classification and type inference. C...