Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Sound and Complete Forward and backward Chainingd of Graph Rules
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Extensions of simple conceptual graphs: the complexity of rules and constraints
Journal of Artificial Intelligence Research
RDF entailment as a graph homomorphism
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Formal and graphical annotations for digital objects
SADPI '07 Proceedings of the 2007 international workshop on Semantically aware document processing and indexing
Boolean formulas of simple conceptual graphs SGBF
GKR'11 Proceedings of the Second international conference on Graph Structures for Knowledge Representation and Reasoning
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This paper is devoted to an industrial case study focused on the issue of how to enhance ITM, a knowledge management tool, with reasoning capabilities, primarily by introducing a semantic query mechanism. ITM knowledge representation language is based on topic maps. We show that these topic maps (and especially those describing the domain ontology and the annotation base) can be naturally mapped to the SG family, a sublanguage of conceptual graphs. As this mapping is reversible, ITM can be equipped with a graph-based query language equivalent to conjunctive queries and it can be enriched with inference rules.