Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Knowledge based approach to semantic composition of teams in an organization
Proceedings of the 2005 ACM symposium on Applied computing
An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
The Description Logic Handbook
The Description Logic Handbook
A survey on knowledge compilation
AI Communications
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Scalable semantic retrieval through summarization and refinement
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Automating competence management through non-standard reasoning
Engineering Applications of Artificial Intelligence
OWLIM – a pragmatic semantic repository for OWL
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
Knowledge compilation for automated Team Composition exploiting standard SQL
Proceedings of the 27th Annual ACM Symposium on Applied Computing
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
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We present a logic-based framework for automated skill matching, able to return a ranked referral list and the related ranking explanation. Thanks to a Knowledge Compilation approach, a knowledge base in Description Logics is translated into a relational database, without loss of information. Skill matching inference services are then efficiently executed via SQL queries. Experimental results for scalability and turnaround times on large scale data sets are reported, confirming the validity of the approach.