Authors:
Ekaterina Ermilova
and
Hamideh Afsarmanesh
Affiliation:
Collaborative Networks Group, University of Amsterdam, Netherlands
Keyword(s):
Ontology Engineering, Knowledge Modeling, Knowledge Management, Virtual organization Breeding Environment, Organization’s Profile, Organization’s Competency.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Modeling Concepts and Information Integration Tools
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
Abstract:
Modeling and management of the knowledge/information related to the organizations is fundamental to efficient operation of the Collaborative Networked Organizations (CNOs). Continuous changes in different aspects of involved organizations, is an unavoidable reflection to the dynamic changes in the demands of stakeholders and customers in the market / society. Organizations’ profiles, and especially their competency characteristics tailored to the requirements of opportunities emerging in the market, need to be modeled and managed. Furthermore, mechanisms are required for handling the flexible representation and processing of the organizations’ knowledge. Both research and practice have shown that the formation of collaborative networked organizations requires
pre-establishment of a cluster, also called a breeding environment. In this paper we address the Virtual organizations Breeding Environments (VBEs), which provide the necessary conditions and support for configuration and crea
tion of Virtual Organizations (VOs). Using the ontology engineering approaches, we present an approach for modeling of organizations’ knowledge inside VBEs, and specify the ontology for their profiles and competencies. Furthermore, we present the required mechanisms for management of the organizations’ knowledge, and specify the functionality required to manipulate organizations’ information through the life cycle of VBEs. The paper also addresses the logical design of a database for storage of organizations’ information and for the visualization of
organizations’ profile and competency knowledge.
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