A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A vector space model for automatic indexing
Communications of the ACM
Comparison of Schema Matching Evaluations
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
The chatty web: emergent semantics through gossiping
WWW '03 Proceedings of the 12th international conference on World Wide Web
Piazza: data management infrastructure for semantic web applications
WWW '03 Proceedings of the 12th international conference on World Wide Web
Corpus statistics meet the noun compound: some empirical results
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
From Surface to Intensive Matching of Semantic Web Ontologies
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Measuring the Relative Performance of Schema Matchers
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
Semantic Web Technologies: Trends and Research in Ontology-based Systems
Semantic Web Technologies: Trends and Research in Ontology-based Systems
An information retrieval approach to ontology mapping
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
ACM SIGMOD Record
Ontology Matching
Semantic Web and Peer-to-Peer: Decentralized Management and Exchange of Knowledge and Information
Semantic Web and Peer-to-Peer: Decentralized Management and Exchange of Knowledge and Information
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
An approach to Ontology Mapping based on the Lucene search engine library
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A bayesian network approach to ontology mapping
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A peer-to-peer virtual office for organizational knowledge management
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
A semantic similarity framework exploiting multiple parts-of speech
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
A feature and information theoretic framework for semantic similarity and relatedness
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
A DHT-based semantic overlay network for service discovery
Future Generation Computer Systems
Journal of Biomedical Informatics
Semantic flow networks: semantic interoperability in networks of ontologies
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
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Ontology Mapping is a mandatory requirement for enabling semantic interoperability among different agents and services relying on different ontologies. This aspect becomes more critical in Peer-to-Peer (P2P) networks for several reasons: (i) the number of different ontologies can dramatically increase; (ii) mappings among peer ontologies have to be discovered on the fly and only on the parts of ontologies "contextual" to a specific interaction in which peers are involved; (iii) complex mapping strategies (e.g., structural mapping based on graph matching) cannot be exploited since peers are not aware of one another's ontologies. In order to address these issues, we developed a new ontology mapping algorithm called Semantic Coordinator (SECCO). SECCO is composed by three individual matchers: syntactic, lexical and contextual. The syntactic matcher , in order to discover mappings, exploits different kinds of linguistic information (e.g., comments, labels) encoded in ontology entities. The lexical matcher enables discovering mappings in a semantic way since it "interprets" the semantic meaning of concepts to be compared. The contextual matcher relies on a "how it fits" strategy, inspired by the contextual theory of meaning, and by taking into account the contexts in which the concepts to be compared are used refines similarity values. We show through experimental results that SECCO fulfills two important requirements: fastness and accuracy (i.e., quality of mappings). SECCO , differently from other semantic P2P applications (e.g., Piazza, GridVine) that assume the preexistence of mappings for achieving semantic interoperability, focuses on the problem of finding mappings. Therefore, if coupled with a P2P platform, it paves the way towards a comprehensive semantic P2P solution for content sharing and retrieval, semantic query answering and query routing. We report on the advantages of integrating SECCO in the K-link+ system.