Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Ontology-based Data Integration for Corporate Sustainability Information Systems
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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The overall objective of this paper is to describe the development of methodologies and to present an implementation for supporting researchers in the domains of sustainability. The methodologies are inspired by the approach of qualitative case studies as it is gradually gaining a large acceptance in these domains. In this paper, key elements of qualitative case study research are analysed and the state of the art relevant to these elements is presented. Ontologies, as the core methodology, are proposed as the basic tool to set up and represent knowledge from different perspectives. Original textual data is annotated with ontologies and information is retrieved from these ontologies by different ways for learning, inferring and proposing. Experiments and applications of sustainability scenarios are presented and an outlook to some further design and development possibilities are given.