Add to ORKGwhich provides the user the motivations for every inferred knowledge in the context of a reasoning process. We describe the reasoner, how to write an inference rule and check which explicit knowledge was used to infer a new one. Real cases examples will be provided to show the capabilities of our reasoner and the associated language developed to express inference rules. We show how HORUS allows the user to understand the logical process over which each new RDF triple has been generated. Keywords—Ontology Management; Reasoner; Formal Language I
Abstract: Ontology driven architecture has revolutionized the inference system by allowing interope...
Our ultimate goal is to define a framework and a methodology which will allow users to construct or ...
In most games, the decision-making of non-player characters (NPCs) is usually constructed using vari...
This paper introduces HORUS (Human-readable Ontology Reasoner Unit System), a configurable reasone...
Inference engine plays an important role in knowledge-based system, where it is used to perform reas...
Multi-Agent Systems (MAS) are popular because they provide a paradigm that naturally meets the curre...
International audienceWe define an inference system to capture explanations based on causal statemen...
Abstract. Ontology languages and non-monotonic rule languages are both well-known formalisms in know...
Semantic reasoning can help solve the problem of regulating the evolving and static measures of know...
In this article a semantic framework is developed that provides a logical description of the functio...
. Our ultimate goal is to provide a framework and a methodology which will allow users, and not only...
Ontology rule editing, testing, debugging and validation are still handcrafted and painful tasks. No...
Ontologies, in the strict artificial intelligence sense, are used to define the allowable objects1 b...
International audienceWe define an inference system to capture explanations based on causal statemen...
This book explores the building of expert systems using logic for knowledge representation and meta-...
Abstract: Ontology driven architecture has revolutionized the inference system by allowing interope...
Our ultimate goal is to define a framework and a methodology which will allow users to construct or ...
In most games, the decision-making of non-player characters (NPCs) is usually constructed using vari...
This paper introduces HORUS (Human-readable Ontology Reasoner Unit System), a configurable reasone...
Inference engine plays an important role in knowledge-based system, where it is used to perform reas...
Multi-Agent Systems (MAS) are popular because they provide a paradigm that naturally meets the curre...
International audienceWe define an inference system to capture explanations based on causal statemen...
Abstract. Ontology languages and non-monotonic rule languages are both well-known formalisms in know...
Semantic reasoning can help solve the problem of regulating the evolving and static measures of know...
In this article a semantic framework is developed that provides a logical description of the functio...
. Our ultimate goal is to provide a framework and a methodology which will allow users, and not only...
Ontology rule editing, testing, debugging and validation are still handcrafted and painful tasks. No...
Ontologies, in the strict artificial intelligence sense, are used to define the allowable objects1 b...
International audienceWe define an inference system to capture explanations based on causal statemen...
This book explores the building of expert systems using logic for knowledge representation and meta-...
Abstract: Ontology driven architecture has revolutionized the inference system by allowing interope...
Our ultimate goal is to define a framework and a methodology which will allow users to construct or ...
In most games, the decision-making of non-player characters (NPCs) is usually constructed using vari...