Hierarchical knowledge-oriented specification for information integration

We present a novel methodology for manipulating sources in a knowledge integration scenario. Firstly, we define and exploit an appropriate data model, namely Knowledge Oriented Specification, to represent and to query data sources without having to align their background knowledge. Secondly, we propose a structured knowledge representation formalism, namely Layered Conceptual Graphs, which present the data at different levels of detail. We explain how the two formalisms can be jointly used to provide a hierarchical approach to integration.

[1]  Michael R. Genesereth,et al.  Infomaster - An Information Integration Tool , 1997 .

[2]  H. Sofia Pinto,et al.  Some Issues on Ontology Integration , 1999, IJCAI 1999.

[3]  John F. Sowa,et al.  Conceptual Structures: Information Processing in Mind and Machine , 1983 .

[4]  Deborah L. McGuinness,et al.  Explaining Subsumption in Description Logics , 1995, IJCAI.

[5]  Robert Levinson,et al.  In Implementation Model for Contexts and Negation in Conceptual Graphs , 1995, ICCS.

[6]  Vipul Kashyap,et al.  InfoSleuth: agent-based semantic integration of information in open and dynamic environments , 1997, SIGMOD '97.

[7]  Marie-Laure Mugnier,et al.  Polynomial Algorithms for Projection and Matching , 1992, Workshop on Conceptual Graphs.

[8]  Frithjof Dau,et al.  Query Graphs with Cuts: Mathematical Foundations , 2004, Diagrams.

[9]  Madalina Croitoru,et al.  Hierarchical Knowledge Integration Using Layered Conceptual Graphs , 2005, ICCS.

[10]  Trevor J. M. Bench-Capon,et al.  Kraft: An Agent Architecture for Knowledge Fusion , 2001, Int. J. Cooperative Inf. Syst..

[11]  Guy W. Mineau A First Step toward the Knowledge Web : Interoperability Issues among Conceptual Graph Based Software Agents, Part I , 2002, ICCS.

[12]  Madalina Croitoru,et al.  A combinatorial approach to conceptual graph projection checking , 2004, SGAI Conf..

[13]  Steffen Staab,et al.  QOM - Quick Ontology Mapping , 2004, GI Jahrestagung.

[14]  Diego Calvanese,et al.  Logical foundations of peer-to-peer data integration , 2004, PODS '04.

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

[16]  Marie-Laure Mugnier,et al.  Positive Nested Conceptual Graphs , 1997, ICCS.

[17]  Frithjof Dau,et al.  Negations in Simple Concept Graphs , 2000, ICCS.

[18]  Divesh Srivastava,et al.  The Information Manifold , 1995 .

[19]  Stefan Decker,et al.  A Layered Approach to Information Modeling and Interoperability on the Web , 2000 .

[20]  Jennifer Widom,et al.  The TSIMMIS Approach to Mediation: Data Models and Languages , 1997, Journal of Intelligent Information Systems.

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

[22]  Marie-Laure Mugnier,et al.  On generalization/specialization for conceptual graphs , 1995, J. Exp. Theor. Artif. Intell..

[23]  Christoph Tempich,et al.  Towards a benchmark for Semantic Web reasoners - an analysis of the DAML ontology library , 2003, EON.

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

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

[26]  Alexandra Poulovassilis,et al.  Generating and Optimising Views from Both as View Data Integration Rules , 2004 .

[27]  Ollivier Haemmerlé,et al.  Standardizing and Interfacing Relational Databases Using Conceptual Graphs , 1994, ICCS.