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.


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

Šlihte, A., Osis, J., Doniņš, U. Knowledge Integration for Domain Modeling. No: Proceedings of the 3rd International Workshop on Model-Driven Architecture and Modeling-Driven Software Development (MDA & MDSD 2011), Ķīna, Beijing, 8.-11. jūnijs, 2011. [S.l.]: SciTePress, 2011, 46.-56.lpp. ISBN 978-989-8425-59-1.

Publikācijas valoda
English (en)
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