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- W2276987768 abstract "More and more information is being made available on the WWW now-a-days, a wealth of which is contained in web databases hidden behind search form interfaces and is commonly called the Hidden Web or the Deep Web. To acquire this authentic and qualitative wealth of data, users often have to interact with a multitude of search form interfaces after discovering the various resources relevant to his interest. Manually carrying a comprehensive and accurate search of the web databases through the search form interfaces is not only difficult but also time consuming. This weaves the need to create search services that organizes these resources into domain specific repositories or directory indexes that can be browsed in and searched on by their associated entry points (the search form interfaces), helping the user to efficiently discover the resources of its choice. Automatically organizing these search form interfaces without human review is to date a challenging research problem. We present a novel approach to the problem by generating a semantic understanding of the search form by extracting the various labels and any values that can be possibly taken by that label on the search form interface. The preliminary results demonstrate the accuracy and precision of the proposed approach in discovering the Hidden web resources." @default.
- W2276987768 created "2016-06-24" @default.
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- W2276987768 date "2014-02-08" @default.
- W2276987768 modified "2023-09-23" @default.
- W2276987768 title "Hidden Web Resource Discovery through Semantic Understanding of Search Interfaces" @default.
- W2276987768 doi "https://doi.org/10.1109/acct.2014.44" @default.
- W2276987768 hasPublicationYear "2014" @default.
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