Meaningful labeling of integrated query interfaces
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Organizing Structured Deep Web by Clustering Query Interfaces Link Graph
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Semantic-based grouping of search engine results using WordNet
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Clustering deep web databases semantically
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Measuring similarity of chinese web databases based on category hierarchy
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Constructing interface schemas for search interfaces of web databases
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
E-FFC: an enhanced form-focused crawler for domain-specific deep web databases
Journal of Intelligent Information Systems
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In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This allows an e-commerce metasearch engine (comparison shopping system) to be built over the ESEs for each cluster. Our approach performs the clustering based on the features available on the interface page (i.e. the Web page containing the search form or interface) of each ESE. Special features that are utilized include the number of links, the number of images, terms appearing in the search form and normalized price terms. Our experimental results based on nearly 300 ESEs indicate that this approach can achieve good results.