Parsing query interfaces of deep web: from specialization to generalization

Authors:
Fei Ren;Hao Liang;Han Guo-xing;Zhang Jin-hao;Bai Yu-na
Affiliations:
China Development Bank, Center of Operations, Beijing, China;College of Computer Science and Technology, Jilin University, Changchun, China and Department of Information, Changchun Taxation College, Changchun, China;China Development Bank, Center of Operations, Beijing, China;China Development Bank, Center of Operations, Beijing, China;China Development Bank, Center of Operations, Beijing, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

E-commerce Web sites provide the economic information by query interfaces. Query interfaces are considered as Deep Web services that indirectly reflect the real schema of the hidden databases. The valid accessing method of Deep Web is through query interfaces. However, the query interfaces are designed and coded in different development models and using different programming languages and the semantic relation is very complicated. To improve the accuracy of extracting attributes, an approach is presented to extract the attributes heuristically. During the extraction, attributes are enriched utilizing Ontology by which we get deep semantic understanding of query interfaces. Experiments over real-word domains show the utility and ability of the algorithm for grasping the information of query interfaces.