Title :
Ontology-Based Digital Ecosystem Conceptual Representation
Author :
Dong, Hai ; Hussain, Farookh Khadeer ; Chang, Elizabeth
Author_Institution :
Curtin Univ. of Technol., Perth
Abstract :
Along with the evolution of digital ecosystem, in regards to its definition, two different theories have emerged, respectively from Soluta.net and from digital ecosystem and Business Intelligence Institute. This is paper explains the differences between the two theories and more importantly proposes a ontology-based conceptual representation for the concept of digital ecosystem with the purpose of helping researchers in the field to better understand the notion of digital ecosystem. In addition, we will introduce a simple ontology notation system, as the basis of our ontology model.
Keywords :
competitive intelligence; ontologies (artificial intelligence); business intelligence; conceptual representation; digital ecosystem; ontology; Australia; Business communication; Commercialization; Ecosystems; Information technology; Ontologies; Open source software; Terminology; Unified modeling language; Vocabulary; Digital Ecosystem; ontology;
Conference_Titel :
Autonomic and Autonomous Systems, 2007. ICAS07. Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-0-7695-2859-7
Electronic_ISBN :
978-0-7695-2859-7
DOI :
10.1109/CONIELECOMP.2007.91