会议专题

Knowledge Integration for Domain Modeling

This research integrates artificial intelligence (AI) and system analysis 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 transforming this knowledge to a Computation Independent Model (CIM) for MDA.

Armands Slihte Janis Osis Uldis Donins

Faculty of Computer Science and Information Technology Institute of Applied Computer Systems, Riga Technical University, Riga, Latvia

国际会议

13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

北京

英文

1354-1364

2011-06-08(万方平台首次上网日期,不代表论文的发表时间)