Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Ontology-Based Knowledge Management
Computer
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Ontologies for Enterprise Knowledge Management
IEEE Intelligent Systems
Overview and analysis of methodologies for building ontologies
The Knowledge Engineering Review
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites
Computational Linguistics
Knowledge Management and the Semantic Web: From Scenario to Technology
IEEE Intelligent Systems
Representing organizational memory for computer-aided utilization
Journal of Information Science
Situated Learning and the Situated Knowledge Web: Exploring the Ground Beneath Knowledge Management
Journal of Management Information Systems
On the Properties of Metamodeling in OWL1
Journal of Logic and Computation
Ontology learning for search applications
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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Ontologies are an integral part of Knowledge and Information Management systems and there is increased interest in using ontologies for organizational memory. Ontology learning workbenches are used for semi-automatic learning of ontologies from representative text collections. This paper presents a new interactive workbench that gives the users more freedom in their ontology engineering process and frees them from knowing any ontology language syntax. The workbench is implemented as part of a search project, in which ontologies are used to search for movie information on the web. New techniques are steadily being added to the workbench, though early testing has already confirmed the validity of the ontology learning approach.