Publications
With our publications we cover the most diverse research areas that arise in the field of man, task and technology. In addition to traditional Business Information Systems topics such as knowledge management and business process management, you will also find articles on current topics such as blended learning, cloud computing or smart grids. Use this overview to get an impression of the range and possibilities of research in Business Information Systems at the University of Duisburg-Essen.
Type of Publication: Article in Collected Edition
Ontology-Based Identification of Research Gaps and Immature Research Areas
- Author(s):
- Beckers, Kristian; Eicker, Stefan; Faßbender, Stephan; Schmidt, Holger; Heisel, Maritta; Schwittek, Widura
- Editor:
- Quirchmayr, Gerald; Basl, Josef; You, Ilsun; Xu, Lida; Weippl, Edgar
- Title of Anthology:
- Multidisciplinary Research and Practice for Information Systems
- pages:
- 1-16
- Publisher:
- Springer
- Location(s):
- Berlin, Heidelberg
- Publication Date:
- 2012
- ISBN:
- 978-3-642-32497-0
- Language:
- englisch
- Digital Object Identifier (DOI):
- doi:10.1007/978-3-642-32498-7_1
- Citation:
- Download BibTeX
Abstract
Researchers often have to understand new knowledge areas, and identify research gaps and immature areas in them. They have to understand and link numerous publications to achieve this goal. This is difficult, because natural language has to be analyzed in the publications, and implicit relations between them have to be discovered. We propose to utilize the structuring possibilities of ontologies to make the relations between publications, knowledge objects (e.g., methods, tools, notations), and knowledge areas explicit. Furthermore, we use Kitchenham’s work on structured literature reviews and apply it to the ontology. We formalize relations between objects in the ontology using Codd’s relational algebra to support different kinds of literature research. These formal expressions are implemented as ontology queries. Thus, we implement an immature research area analysis and research gap identification mechanism. The ontology and its relations are implemented based on the Semantic MediaWiki+ platform.