ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Building and maintaining ontologies: a set of algorithms
Data & Knowledge Engineering - NLDB2002
Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
An FCA-based solution for ontology mediation
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Hi-index | 0.00 |
Ontologies have been proven useful for many applications by enabling semantic search and reasoning. Human resource management has recently attracted interest by researchers and practitioners seeking to exploit ontologies for improving the efficiency and effectiveness of the job recruitment process. However, the quality of semantic search and decision making intimately depends on the quality of the ontology used. Most current efforts concentrate on the development of general ontologies that find wide approval by the HR community worldwide. In order to be useful for automatic matchmaking between job offers and job seekers, such high-level ontologies need to be adequately enriched with detailed domain-specific knowledge and adapted to the particular needs of individual job markets. We present an approach for enriching and adapting an existing ontology using formal concept analysis.