Research on process-oriented enterprise knowledge modeling and integration management based on ontology

0Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The society is entering into knowledge-based economy, managing experience knowledge effectively is more important. Process-oriented knowledge management aims is the integration of business process and knowledge management, in order to solve the problem of process knowledge exchange and sharing in enterprise or between enterprises, an ontology-based approach to modeling and integrating enterprise process knowledge was proposed and an Enterprise Process Ontology (EPOnt) was developed. Its fundamental information is represented by the IDEF5 language graphically based on the reasons that most of ontologies have formal semantics but lack of graphical representation currently. Moreover, its precise syntax and formal semantics arc defined in the Ontolingua language characterized by traits such as stronger expressiveness and compatibility with multiple representation languages and systems. Based on those, an actual Guangzhou Port Group business case was illustrated to show the application of the EPOnt and (he architecture of an EPOnt-based enterprise knowledge integration management platform was presented. The proposed approach provides a common understanding of a relevant vocabulary of terms and enhances the semantic interoperability, reuse and share of process knowledge for improving server efficiency and quality of enterprise. © 2008 by Springer Science+Business Media New York.

Cite

CITATION STYLE

APA

Liu, Z., & Huang, L. (2008). Research on process-oriented enterprise knowledge modeling and integration management based on ontology. In IFIP Advances in Information and Communication Technology (Vol. 254 VOLUME 1, pp. 349–357). Springer New York LLC. https://doi.org/10.1007/978-0-387-75902-9_37

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free