Conceptual schema analysis: techniques and applications
ACM Transactions on Database Systems (TODS)
Information Retrieval
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Schema and ontology matching with COMA++
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Ontology Matching
Falcon-AO: A practical ontology matching system
Web Semantics: Science, Services and Agents on the World Wide Web
Journal on data semantics VIII
Matching hierarchical classifications with attributes
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Matching ontologies in open networked systems: techniques and applications
Journal on Data Semantics V
Matching unstructured vocabularies using a background ontology
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
A semantic-based approach for data management in a P2P system
Transactions on large-scale data- and knowledge-centered systems III
Generating synthetic database schemas for simulation purposes
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Gossiping correspondences to reduce semantic heterogeneity of unstructured P2P systems
Globe'11 Proceedings of the 4th international conference on Data management in grid and peer-to-peer systems
Using information quality for the identification of relevant web data sources: a proposal
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Ontology-Based Clustering in a Peer Data Management System
International Journal of Distributed Systems and Technologies
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In Peer Data Management Systems (PDMS), ontology matching can be employed to reconcile peer ontologies and find correspondences between their elements. However, traditional approaches to ontology matching mainly rely on linguistic and/or structural techniques. In this paper, we propose a semantic-based ontology matching process which tries to overcome the limitations of traditional approaches by using semantics. To this end, we present a semantic matcher which identifies, besides the common types of correspondences (equivalence), some other ones (e.g., closeness). We also present an approach for determining a global similarity measure between two peer ontologies based on the identified similarity value of each correspondence. To clarify matters, we provide an example illustrating how the proposed approach can be used in a PDMS and some obtained experimental results.