منابع مشابه
Hybrid reasoning on OWL RL
Both materialization and backward-chaining as different modes of performing inference have complementary advantages and disadvantages. Materialization enables very efficient responses at query time, but at the cost of an expensive up front closure computation, which needs to be redone every time the knowledge base changes. Backward-chaining does not need such an expensive and change-sensitive p...
متن کاملQueryPIE: Hybrid Reasoning With The OWL RL Rules
Both materialization and backward-chaining as different modes of performing inference have complementary advantages and disadvantages. Materialization enables very efficient responses at query time, but at the cost of an expensive up front closure computation, which needs to be redone every time the knowledge base changes. Backward-chaining does not need such an expensive and change-sensitive p...
متن کاملImproving OWL RL Reasoning in N3 by Using Specialized Rules
Semantic Web reasoning can be a complex task: depending on the amount of data and the ontologies involved, traditional OWL DL reasoners can be too slow to face problems in real time. An alternative is to use a rule-based reasoner together with the OWL RL/RDF rules as stated in the specification of the OWL 2 language profiles. In most cases this approach actually improves reasoning times, but du...
متن کاملRuQAR: Reasoning Framework for OWL 2 RL Ontologies
This paper addresses the first release of the Rule-based Query Answering and Reasoning framework (RuQAR). The tool provides the ABox reasoning and query answering with OWL 2 RL ontologies executed by forward chaining rule reasoners. We describe current implementation and an experimental evaluation of RuQAR by performing reasoning on the number of benchmark ontologies. Additionally, we compare o...
متن کاملRuQAR : Reasoning with OWL 2 RL Using Forward Chaining Engines
We present the Rule-based Query Answering and Reasoning framework (RuQAR). The tool supports ABox reasoning and query answering with OWL 2 RL ontologies executed by the forward chaining rule reasoners Jess and Drools. We describe RuQAR’s main features, its architecture as well as implementation details.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Semantic Web
سال: 2014
ISSN: 1570-0844
DOI: 10.3233/sw-130120