ONTOLOGY-BASED KNOWLEDGE MANAGEMENT Graphical Query Editor for OWL Ontologies
The OnToBau research project aims to provide a way to classify, archive and effectively use business knowledge with the assistance of an ontology-based knowledge archive for small and medium companies from construction industry. This archive is intended to pro-actively provide users with information to assist them in their daily business process handling. The system consists of four main parts. The document zonverters prepare the different resources (EMails,Paperdocuments, PDFs etc.) that should be stored in the knowledge archive for the enclosed inference system. The inference system is the core component and extracts the information from the preprocessed resources. Ontologies provide the necessary domain knowledge. In order to exploit the available knowledge,a personal agent monitors the current activities of the user and tries to infer the intention from his behaviors. At certain points it automatically offers the user helpful information.Again ontologies are used to represent information about the business processes. In addition, the user has the option to search for information in the archive through the graphical user interface. The importance of simple query systems has already been identified in the area of database systems. This paper gives an overview of the OnToBau research project presenting a first approach to visual query for information in the knowledge archive.
Knowledge management Ontology Visual query system Ambient user support Graphical query language
Markus Schwinn Norbert Kuhn Stefan Richter
Institut fǔr Softwaresysteme in Wirtschaft, Umwelt und Verwaltung, Fachhochschule Trier Campusallee, 55761 Birkenfeld, Germany
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
305-310
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）