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The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents.

The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.

OWL ontologies Information on how to open OWL files from the Protege-OWL editor is available on the main Protege Web site. See the Creating and Loading Projects section of the Getting Started with Protege-OWL Web page. Other ways to search for OWL ontologies include using Google: http://www.google.com/search?q=filetype:owl+owl, or the new Semantic Web search engine called Swoogle.

The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL facilitates greater machine interpretability of Web content than that supported by XML, RDF, and RDF Schema (RDF-S) by providing additional expressive power along with a formal semantics. The group's work is complete with the publication of OWL 2 (Second Edition). There may be new Errata and discussion on public-owl-dev@w3.org.

The OWL API is a Java API and reference implmentation for creating, manipulating and serialising OWL Ontologies. The latest version of the API is focused towards OWL 2

Clark & Parsia is the leading supplier of innovative semantic technologies, with a particular focus on OWL automated reasoning. Our OWL reasoning system, Pellet, provides an unmatched solution for expressive reasoning and modeling with semantic data. We can help you achieve a significant return on investment by using semantic technologies to manage your data. We provide full-service consulting, including application development, to complement our products and technologies. Our staff includes leading practitioners and innovators in the field. Let us help you build your next semantic application.

Protégé is a free, open source ontology editor and knowledge-base framework. The Protégé platform supports two main ways of modeling ontologies via the Protégé-Frames and Protégé-OWL editors. Protégé ontologies can be exported into a variety of formats including RDF(S), OWL, and XML Schema.

The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies. The languages are characterised by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium[1] and has attracted academic, medical and commercial interest.

OWL is a Web Ontology language. Where earlier languages have been used to develop tools and ontologies for specific user communities (particularly in the sciences and in company-specific e-commerce applications), they were not defined to be compatible with the architecture of the World Wide Web in general, and the Semantic Web in particular.

"Ontologies are formal descriptions of the world encoded in a "computational logic". The Web is the largest information structure in the world encompassing everything from a substantial part of the world economy to the fluffiest of emphemera. When the tidy world of logic hits the sprawling mudball of the web, the result is the W3C's Web Ontology Language, OWL."

"WebVOWL is a web application for the interactive visualization of ontologies. It implements the Visual Notation for OWL Ontologies (VOWL) by providing graphical depictions for elements of the Web Ontology Language (OWL) that are combined to a force-directed graph layout representing the ontology. Interaction techniques allow to explore the ontology and to customize the visualization. "

The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information specific to different domain applications.

a standard conversation of Princeton WorldNet to RDF/OWL

"The DL-Learner software learns concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects. It extends Inductive Logic Programming to Descriptions Logics and the Semantic Web. The goal of DL-Learner is to provide a DL/OWL based machine learning tool to solve supervised learnings tasks and support knowledge engineers in constructing knowledge and learning about the data they created. Read more ..."

We are experts in the Semantic Web standards and have developed a number of RDF and OWL tools such as our OWL Editor. We were part of the team that originally developed MODAF, and are recognised as world class experts in MODAF, DoDAF and EA in general.

Foundations of Semantic Web Technologies Chapman & Hall/CRC, 2009, 455 pages, hardcover ISBN: 9781420090505 (BibTeX). Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research. This foundational text introduces the standardized knowledge representation languages for modeling ontologies operating at the core of the semantic web. To support the presentation of each language, the authors explain syntax and underlying intuitions through examples, with separate treatment of the underlying formal semantics. They cover RDF Schema, Web Ontology Language (OWL), rules, and query languages, such as SPARQL. The book also presents recent developments concerning the OWL 2 revision and the forthcoming Rule Interchange Format (RIF).

"is a framework for supervised Machine Learning in OWL, RDF and Description Logics."

"Time Ontology in OWL W3C Recommendation 19 October 2017"

D2RQ is a declarative language to describe mappings between relational database schemata and OWL/RDFS ontologies. The D2RQ Platform uses these mapping to enables applications to access a RDF-view on a non-RDF database through the Jena and Sesame APIs, as well as over the Web via the SPARQL Protocol and as Linked Data.