Application of the Agent-Based Ontology Matching Technology in the Relational Database

Abstract:

As the relational database be the main data storage mode, but the traditional keyword based syntactic matching defects in precision and recall. This paper provides a ontology matching mechanisms for relational database, which realizes the semantic level of the data retrieval by using the intelligent search technology from Agent and Ontology. The mechanism using DCL domain ontology, SQC services query policy, SearchPolicyMap mapping to solve the problems as data object description, retrieval conditions description, and the mapping between those two description. And provided the preconditions for the semantic matching under the relational database. Solve the semantic matching problem of interaction between human and Agent by the WI interface and CM mechanism . Solve the problem of interaction between Agent and relational database by the service customization Interface SBI. Finally, solve the problem of semantic retrieval and quantitative calculation by querying adapter QA and core algorithm CMA. The mechanism has a strong practicality and application domains independent. Can implement a specific level semantics of relational database retrieval through the application domain ontology creation and mapping configuration.

• Periodical: Advanced Materials Research (Volumes 846-847)
• Pages: 1701-1706
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.846-847.1701
• Online since: November 2013
• Authors: Jian Long Ding*
• Keywords: Compatibility Matching, Concept Pattern, Ontology, Relational Database, Semantic Matching, Syntactic Matching

References

[1] T Beners-Lee, W Hall, J Hendler, et al. Creatillg a science of the web[J]. science, 2006<313>769—771.

[2] Spanos D E，Stavrou P，Mitrou N．Bringing relational databases into the semantic Web：A survey[J]．Semantic Web Journal，2012，3(2)：169-209.

DOI: 10.3233/sw-2011-0055

[3] Salas P E，Breitman K K，Viterbo J F，et a1．Interoperability by design using the StdTrip tool：An a priori approach[C]/Proc of the 6th Int Conf on SemanticSystems．New York：ACM，(2010).

DOI: 10.1145/1839707.1839760

[4] Dou Dejing，Qin Han．LePendu P．OntoGrate：Towards automatic integration for relational databases and the Semantic Web through an ontology-based framework[J]．IntJournal of Semantic Computing，2010，4(1)：123—151.

DOI: 10.1142/s1793351x10000961

[5] Hu Jun，Gao ji，Zhou Bin，et at．Ontology based agent services compatible matchmaking mechanism[C]/Proceedings of the 3rd International Conference on Machine Learning and Cybernetics，Shanghai，2004：11l一116.

DOI: 10.1109/icmlc.2004.1380624

[6] Calvancee D，de Giacomo G，Lembo D，et a1．Using OWL in data integratiom[M]．Semantic Web Information Management-A Model Based Perspective．Springer，2009.

[7] Lau RYK; Wong O Mining negotiation knowledge for adaptive negotiation agents in e-marketplaces (2007).

DOI: 10.1109/hicss.2007.342

[8] Gai Ji, SASA5：A Method System for Supporting Agent Social Activities, Chinese Journal of computers[J], 2005, 5(28): 838-848.