Semantic Web Ontologies and Business Rules

The world-wide web consortium has recommended OWL as a standard language for ontologies on the semantic web. Using OWL, web content can be classified using a combination of taxonomic classification and inference. OWL allows semantic web content to describe itself in terms of concepts and their logical definition such that machine learning and reasoning technology can perform more accurate and meaningful clustering and analysis.

Ontology is a term borrowed from philosophy that refers to the science of describing the kinds of entities in the world and how they are related

OWL is foundational, not only to the semantic web, but to other taxonomic representations of information and models. OWL is derived from earlier work in distributed agents (e.g., DAML http://www.daml.org/) and is highly influenced by the notion of "description logic".

• The OWL Web Ontology Language is a language for defining and instantiating Web ontologies
• DLP can be used to transform any OWL ontology into a (disjunctive) logic program