Supporting business intelligence by providing ontology-based end-user information self-service
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
REASE: the repository for learning units about the semantic web
The New Review of Hypermedia and Multimedia - Special issue: Observing users of digital educational technologies
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For the integration of data that resides in autonomous data sources Software AG uses ontologies. Data source ontologies describe the data sources themselves. Business ontologies provide an integrated view of the data. F-Logic rules are used to describe mappings between data objects in data source or business ontologies. Furthermore, F-Logic is used as the query language. F-Logic rules are perfectly suited to describe the mappings between objects and their properties. Some of these mapping rules can be generated automatically from the data sources meta data. Some patterns do frequently reoccur in userdefined mapping rules, for instance rules which establish inverse object relations or rules which create new object relations based on the objects' property values. Within our first project access to information is still typical data retrieval and not so much knowledge inference. Therefore, a lot of effort in this project concentrated on query functionality and even more on performance. But these are only first steps. To strengthen this development and to get more experience in this field Software AG recently joined several EU research projects which all have a focus on exploitation of semantic technology with concrete business cases.