Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
The TSIMMIS Approach to Mediation: Data Models and Languages
Journal of Intelligent Information Systems - Special issue: next generation information technologies and systems
A Graph-Oriented Model for Articulation of Ontology Interdependencies
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
In Implementation Model for Contexts and Negation in Conceptual Graphs
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
Positive Nested Conceptual Graphs
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Logic-based knowledge representation
Artificial intelligence today
Expressive security policy rules using Layered Conceptual Graphs
Knowledge-Based Systems
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We describe the ‘Hierarchical as View' approach to knowledge integration from heterogeneous sources. This is based on a novel representation called Layered Conceptual Graphs (LCGs), a hierarchical extension of conceptual graphs that address interoperability issues. We introduce LCGs on the basis of a new graph transformation system, which could be an appropriate hierarchical graph model for applications that require consistent transformations. We highlight a new type of rendering based on the additional expansion of relation nodes. Both the querying and integration capabilities of our approach are based on projection, an operation also defined for simple conceptual graphs. Integration is performed in a way that neither depends on the order in which the sources are combined nor on their physical availability.