Title :
Mapping OWL 2 Into ORM
Author_Institution :
Sch. of Math. & Comput. Sci., Yunnan Univ. of Nat., Kunming, China
Abstract :
For most domain experts, it is difficult to build and verify domain ontologies expressed by OWL 2. ORM (Object Role Modeling) is a conceptual modeling language with graphical notations, its models can be translated into pseudo natural language that make it easier, also for domain experts who is a non-IT specialist, to create, check and adapt the domain knowledge. Based on formal logic semantics of ORM and OWL 2, a serial of mapping rules have been presented to visualize OWL2 ontologies with ORM.
Keywords :
formal logic; knowledge representation languages; natural language processing; Mapping OWL 2; ORM; OWL2 ontologies; conceptual modeling language; domain knowledge; formal logic; formal logic semantics; graphical notations; object role modeling; pseudo natural language; Adaptation models; Data models; Natural languages; OWL; Ontologies; Semantics; Unified modeling language; Model translation; ORM; OWL 2; Object Role Modeling; Ontology visualization;
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/ITA.2013.107
