Ontology-based integration of OLAP and information retrieval

This paper describes an ontology-based approach for building an enterprise knowledge portal that integrates OLAP and information retrieval functionality to access both structured data stored in a data warehouse and unstructured data in form of documents. We discuss how to perform global searches over these information sources. In addition, our approach provides adaptive searching by tracking the user context. When a user performs ad-hoc navigation in an OLAP report, the system will be able to use the query context information to also search for relevant documents.