Abstract
Currently, many ontologies are available even through they are created by different organizations. Although these ontologies are developed for various application purpores and areas, they often contain overlapping information. In order to achieve interoperability between ontologies, we need to find a way to integrate various ontologies. For example, ontology engineers would like to create new ontologies based on existing ontologies, adapt or extend existing ontologies for the same or different domains. In this context, it is important to find the corresponding entities in different ontologies. The main ideas we contribute to the research field are introducing the expanding ontology tree to determine the semantic similarity of ontologies.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cohen, W.W., Ravikumar, P., Fienberg, S.E.: A Comparison of String Distance Metrics for Name-Matching Tasks IJCAI-2003 (2003)
Doan, A., Madhavan, J., Dhamankar, R., Domingos, P., Halevy, A.: Learning to match ontologies on the Semantic Web The VLDB Journal. 12(4), 303–319
Euzenat, J.R., Valtchev, P.: Similarity-based ontology alignment in OWL-lite. In: Proc. 15th ECAI, Valencia (ES (2004)
Fausto, G., Pavel, S., Mikalai, Y.: S-Match: an algorithm and an implementation of semantic matching (2004)
Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Güemes, A.H.: A Prototype System for Automatic Ontology Matching Using Polygons. Computer and Electrical Engineering. Jönköping University (2006)
Initiative, O.A.E., http://www.ontologymatching.org/evaluation.html
Keet, C.M.: Aspects of Ontology Integration Unpublished (2004), available at: http://www.meteck.org/AspectsOntologyIntegration.pdf
Le, B.T., Dieng-Kuntz, R., Gandon, F.: Ontology Matching: A Machine Learning Approach for building a corporate semantic web in a multi-communities organization. In: ICEIS 2004, Porto, Portugal (2004)
Lin, F., Sandkuhl, K.: Polygon-based Similarity Aggregation for Ontology Matching. In: International Workshop on Semantic and Grid Computing (SGC 2007) in ISPA07, Niagara Falls, Canada (2007)
Maedche, A., Staab, S.: Measuring Similarity between Ontologies. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, Springer, Heidelberg (2002)
Melnik, S., Garcia-Molina, H., Rahm, E.: Similarity Flooding: A Versatile Graph Matching Algorithm. In: Proc. 18th International Conference on Data Engineering (ICDE), San Jose, CA US (2002)
Noy, N.F., Musen, M.A.: Evaluating Ontology-Mapping Tools: Requirements and Experience. In: Proc. OntoWeb-SIG3 Workshop at the 13th International Conference on Knowledge Engineering and Knowledge Management, Siguenza, Spain (2002)
Noy, N.F., Musen, M.A.: The PROMPT Suite: Interactive Tools for Ontology Merging and Mapping. In: SMI (ed.). Stanford University, CA, USA (2003)
Plassard, M.-F.: Functional Requirements for Bibliographic Records. (1998)
Protégé, http://protege.stanford.edu/
SecondString, http://secondstring.sourceforge.net/
Shvaiko, P., Euzenat, J.E.O.: A Survey of Schema-based Matching Approaches. Data Semantics (2005)
Stumme, G., Maedche, A.: FCA-Merge: Bottom-up merging of ontologies. In: 7th Intl. Conf. on Artificial Intelligence (IJCAI 2001), Seattle, WA (2001)
WordNet, http://wordnet.princeton.edu
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, F., Sandkuhl, K. (2007). A New Expanding Tree Ontology Matching Method. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops. OTM 2007. Lecture Notes in Computer Science, vol 4806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76890-6_61
Download citation
DOI: https://doi.org/10.1007/978-3-540-76890-6_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76889-0
Online ISBN: 978-3-540-76890-6
eBook Packages: Computer ScienceComputer Science (R0)