Computational Collective Intelligence part II

Computational Collective Intelligence part II - Ngoc Thannh Nguyen

The current challenge of the Semantic Web is the development of an expressive yet effective rule language. This paper presents an integration proposal for Description Logics (DL) and Attributive Logics (ALSV) is presented. These two formalisms stem from fields of Knowledge Representation and Artificial Intelligence. However, they are based on different design goals and therefore provide different description and reasoning capabilities. ALSV is the foundation of XTT2, an expressive language for rule-based systems. DL provide formulation for expressive ontology languages such as OWL2. An important research direction is the development of rule languages that can be integrated with ontologies. The contribution of the paper consists in introducing a possible transition from ALSV to DL. This opens up possibilities of using XTT2, a well-founded rule-based system modelling rule language, to improve the design of Semantic Web rules.