Semantic web support for the business-to-business e-commerce lifecycle
Proceedings of the 11th international conference on World Wide Web
Enterprise Knowledge Management
Computer
Using AI in Knowledge Management: Knowledge Bases and Ontologies
IEEE Intelligent Systems
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
On the Problem of Computing Small Representations of Least Common Subsumers
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Journal of the American Society for Information Science and Technology
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
Computing least common subsumers in description logics with existential restrictions
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Automating competence management through non-standard reasoning
Engineering Applications of Artificial Intelligence
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Large scale skill matching through knowledge compilation
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
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Automatically finding suitable candidates in an organization to compose a team able to solve a given task is a typical problem in large companies. In this paper we present a Description Logics approach to Team Composition based on candidates technical knowledge and on tasks descriptions, modeled according to a skills ontology in ALE(D). The novelty of our approach is that our implemented service exploits standard-SQL querying expressiveness to emulate the proper reasoning procedures. The Team Composition service has been deployed as part of I.M.P.A.K.T., a skill management system, and results show the effectiveness of the proposed approach.