A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Communications of the ACM - Ontology: different ways of representing the same concept
Controlled Vocabularies in OODBs: Modeling Issues and Implementation
Distributed and Parallel Databases
IEEE Transactions on Knowledge and Data Engineering
IEEE Intelligent Systems
Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering
Identifying a Forest Hierarchy in an OODB Specialization Hierarchy Satisfying Disciplined Modeling
COOPIS '96 Proceedings of the First IFCIS International Conference on Cooperative Information Systems
Contextual Partitioning for Comprehension of OODB Schemas
Knowledge and Information Systems
Editorial: Ontology Challenges: A Thumbnail Historical Perspective
Knowledge and Information Systems
Data Mining
Auditing concept categorizations in the UMLS
Artificial Intelligence in Medicine
Ontology based data mining: a contribution to business intelligence
MCBE'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and economics
Marketing database knowledge extraction: towards a domain ontology
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
Hi-index | 5.23 |
We consider the design of an ontology for marketing knowledge. Such an ontology contains two hierarchies, a customer hierarchy and a product hierarchy. The product hierarchy representation is straightforward, as in general each level consists of products that are more specific than the products on the previous level. However, the customer hierarchy is problematic, since it involves many independent dimensions such as age, gender, income, etc. A straightforward ordering of the different dimensions to create a tree hierarchy is ineffective. We present an innovative design for the customer hierarchy based on introducing intersections of options for various dimensions on demand. We call such an ontology an intersection ontology. The advantages of such a design are explored and evaluated using our Web marketing project.