Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. Bayardo et al. Infosleuth: Agent-based semantic integration of information in open and dynamic environments. In Proc. of the ACM SIGMOD Intl. Conf. on Management of Data, volume 26/2, pages 195–206, 1997.
D. Calvanese et al. Logical foundations of peer-to-peer data integration. In Proc. of the 23rd ACM Symp. on Principles of Database Systems (PODS 2004), pages 241–251, 2004.
B. Carbonneill and O. Haemmerle. Standardizing and interfacing relational databases using conceptual graphs. In Conceptual Structures: Current Practices, pages 311–330. Springer, 1994.
M. Chein and M.-L. Mugnier. Positive nested conceptual graphs. Proc. of the 5th Int’l Conf. on Conceptual Structures, 1997.
E. Compatangelo and H. Meisel. “Reasonable” support to knowledge sharing through schema analysis and articulation. Neural Computing & Applications, 12(3–4):129–141, December 2003.
M. Croitoru and E. Compatangelo. A combinatorial approach to conceptual graph projection checking. In Proc. of the 24th Int’l Conf. of the Brit. Comp. Society’s Spec. Group on Artif. Intell. (AI’2004), pages 130–143. Springer, 2004.
M. Croitoru, E. Compatangelo, and C Mellish. Hierarchical knowledge integration using layered conceptual graphs. In Proc. of the 13th Int’l Conf. on Conceptual Structures, LNCS. Springer, 2005. To appear.
M. Croitoru, E. Compatangelo, and C Mellish. Theoretical knowledge oriented specification. Technical Report AUCS/TR0506, Dept. of Computing Science, University of Aberdeen, UK, July 2005.
F. Dau. Negations in simple concept graphs. In Bernhard Ganter and Guy W. Mineau, editors, ICCS, volume 1867 of LNCS, pages 263–276. Springer, 2000.
F. Dau. Query graphs with cuts: Mathematical foundations. In Proc. of the 3rd Int’l Conf. on Diagrammatic Representation and Inference, volume 2980 of LNAI. Springer, 2004.
O. M. Dushka and M. R Genereseth. Infomaster — an information integration tool. In Int’l W’shop on Intelligent Information Integration, 1997.
M. Ehrig and S. Staab. Qom — quick ontology mapping. In Proc. of the 3rd Int’l Semantic Web Conf., volume 3298 of LNCS, pages 683–697. Springer, 2004.
J. Esch and R. Levinson. An implementation model for contexts and negation in conceptual graphs. In Gerard Ellis, Robert Levinson, William Rich, and John F. Sowa, editors, ICCS, volume 954 of LNCS, pages 247–262. Springer, 1995.
N. Friedman Noy and M. A. Musen. PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In Proc. of the 17th Nat. Conf. on Artificial Intelligence (AAAI’00), 2000.
H. Garcia-Molina et al. The TSIMMIS approach to mediation: Data models and languages. Jour. of Intelligent Information Systems, 8(2):117–132, 1997.
E. Jasper et al. Generating and optimising views from both as view data integration rules. Proc. of the 6th Baltic Conf. on DB and Information Syst., 2004.
T. Kirk, A. Y. Levy, Y. Sagiv, and D. Srivastava. The information manifold. Information Gathering from Heterogeneous, Distributed Environments, 1995.
D. L. McGuinness and A. T. Borgida. Explaining subsumption in description logics. In Proc. of the 14th Intl. Joint Conf. on Artificial Intelligence (IJCAI’95), pages 816–821, 1995.
S. Melnik and S. Decker. A layered approach to information modeling and interoperability on the web. In Proc. of the ECDL’2000 Sem. Web W’shop, 2000.
G. Mineau. A first step toward the knowledge web: Interoperability issues among conceptual graph based software agents, part I. In Proc. of the 10th Int’l Conf. on Conceptual Structures (ICCS’2002), volume 2393 of LNCS. Springer, 2002.
P. Mitra, G. Wiederhold, and M. L. Kersten. A Graph-Oriented Model for the Articulation of Ontology Interdependencies. In Proc. of the VII Conf. on Extending DB Technology (EDBT’2000), LNCS, pages 86–100. Springer, 2000.
M.-L. Mugnier. On generalization/specialization for conceptuals graphs. Jour. of Experimental and Theoretical Artif. Intell., 1995.
M.-L. Mugnier and M. Chein. Polynomial algorithms for projection and matching. In proc. of the 7th Ann. W’shop on Conceptual Graphs, volume 754 of LNCS, pages 239–251. Springer, 1992.
H. S. Pinto, A. Gomez-Perez, and J. Martins. Some issues on ontology integration. In Proc. of the IJCAI’99 W.shop on Ontology and Problem-Solving Methods (KRR5), pages 7.1–7.11, 1999.
A. Preece et al. KRAFT: An agent architecture for knowledge fusion. Intl. Jour. of Cooperative Information Systems, 10(1 & 2):171–195, 2001.
J. Sowa. Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks Cole Publishing Co., 2000.
John Sowa. Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, 1984.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag London Limited
About this paper
Cite this paper
Croitoru, M., Compatangelo, E. (2006). Hierarchical knowledge-oriented specification for information integration. In: Bramer, M., Coenen, F., Allen, T. (eds) Research and Development in Intelligent Systems XXII. SGAI 2005. Springer, London. https://doi.org/10.1007/978-1-84628-226-3_6
Download citation
DOI: https://doi.org/10.1007/978-1-84628-226-3_6
Publisher Name: Springer, London
Print ISBN: 978-1-84628-225-6
Online ISBN: 978-1-84628-226-3
eBook Packages: Computer ScienceComputer Science (R0)