Domain Knowledge Articulation using Integration Graphs

In order to be queried and reused, different domain knowledge bases must be shared using the same representation. In this paper, we introduce a graph-based knowledge model to articulate independently developed ontologies that describe the same application domain. Our knowledge representation formalism is based on a new type of graphs denoted as “hierarchical graphs”. This representation provides a basis for the heuristic inferences and for the logical deductions that are used to detect semantic mismatches between domain knowledge bases whenever they must be composed. Integration graphs can also be viewed as a suitable data modelling formalism for information integration.

[1]  Ernesto Compatangelo,et al.  “Reasonable” support to knowledge sharing through schema analysis and articulation , 2003, Neural Computing & Applications.

[2]  P. Karp.  The design space of frame knowledge representation systems , 1992 .

[3]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[4]  Maurizio Vincini,et al.  The MOMIS Approach to Information Integration , 2001, International Conference on Enterprise Information Systems.

[5]  Prasenjit Mitra,et al.  Semi-automatic Integration of Knowledge Sources , 1999 .

[6]  Marie-Laure Mugnier,et al.  Nested Graphs: A Graph-based Knowledge Representation Model with FOL Semantics , 1998, KR.

[7]  Boris Motik,et al.  MAFRA - A MApping FRAmework for Distributed Ontologies , 2002, EKAW.

[8]  Giorgio Busatto,et al.  An abstract model of hierarchical graphs and hierarchical graph transformation , 2001 .

[9]  Michael Uschold,et al.  Knowledge level modelling: concepts and terminology , 1998, The Knowledge Engineering Review.

[10]  Ernesto Compatangelo,et al.  EER-CONCEPTOOL: a "reasonable" environment for schema and ontology sharing , 2002, 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings..

[11]  Martin L. Kersten,et al.  A Graph-Oriented Model for Articulation of Ontology Interdependencies , 1999, EDBT.

[12]  Mark A. Musen,et al.  PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment , 2000, AAAI/IAAI.