Knowledge Integration for Domain Modeling

Proceedings of the 3rd International Workshop on Model-Driven Architecture and Modeling-Driven Software Development (MDA & MDSD 2011) 2011
Armands Šlihte, Jānis Osis, Uldis Doniņš

This research integrates artificial intelligence (AI) and system analy-sis by exploiting ontology, natural language processing (NLP), business use cases and model-driven architecture (MDA) for knowledge engineering and domain modeling. We describe an approach for compounding declarative and procedural knowledge in a way that corresponds to AI and system analysis standards, and is compliant for acquiring a domain model corresponding to MDA standards. We are recognizing the possibility of automatically transform-ing this knowledge to a Computation Independent Model (CIM) for MDA.

Keywords
Knowledge Engineering, Ontology, Natural Language Processing, Domain Modeling
Hyperlink
http://www.scitepress.org/Portal/PublicationsDetail.aspx?ID=8iKg+jZ39Cg=&t=1

Šlihte, A., Osis, J., Doniņš, U. Knowledge Integration for Domain Modeling. In: Proceedings of the 3rd International Workshop on Model-Driven Architecture and Modeling-Driven Software Development (MDA & MDSD 2011), China, Beijing, 8-11 June, 2011. [S.l.]: SciTePress, 2011, pp.46-56. ISBN 978-989-8425-59-1.

Publication language
English (en)