Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
From SPARQL to rules (and back)
Proceedings of the 16th international conference on World Wide Web
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Journal of Automated Reasoning
A general datalog-based framework for tractable query answering over ontologies
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A Rule System for Querying Persistent RDFS Data
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Tractable Reasoning with DL-Programs over Datalog-rewritable Description Logics
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
ASPIDE: integrated development environment for answer set programming
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Optimized query rewriting for OWL 2 QL
CADE'11 Proceedings of the 23rd international conference on Automated deduction
Data complexity of query answering in description logics
Artificial Intelligence
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Ontology-based reasoning is considered a crucial task in the area of knowledge management. In this context, the interest in approaches that resort to Datalog (and its extensions) for implementing various reasoning tasks over ontologies is growing. Nonetheless, looking from the developer point of view, one can notice that the editing environments for ontologies on the one hand and Datalog-like logic programs on the other hand are often developed independently and miss a common perspective. In this paper we face with this issue proposing the integration of two major development environments for Datalog programs and Ontologies, respectively: ASPIDE and protégé. We extended both systems with specific plugins that enable a synergic interaction between the two development environments. The developer can then handle both ontologies and logic-based reasoning over them by exploiting specific tools integrated to work together.