Title :
Ontology-based Semantic Annotation for Semantic Interoperability of Process Models
Author :
Lin, Yun ; Ding, Hao
Author_Institution :
Norwegian Univ. of Sci. & Technol.
Abstract :
The knowledge carried by process models can be reused to guide modeling in a new project, to manage process models or to interoperate with other processes. In order to efficiently discover such knowledge from distributed model repositories, we have to deal with semantic interoperability problems due to heterogeneity of process models. In this paper, process models are semi-automatically annotated based on a process ontology and domain ontology to target the semantic interoperability issue in process models discovery
Keywords :
business data processing; corporate modelling; data mining; data models; ontologies (artificial intelligence); open systems; specification languages; business process modeling; distributed model repository; domain ontology; knowledge discovery; ontology-based semantic annotation; process model discovery; process model semiautomatic annotation; process ontology; semantic interoperability; Computational intelligence; Computer architecture; Data structures; Knowledge management; Ontologies; Project management; Software systems; Technology management; Terminology; Unified modeling language;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631259
