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Barbara larson
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Deep Web & Dark Web

Searching the deep web using proactive phrase queries

 

This paper proposes Deep2Q, a novel search engine that proactively transforms query forms of Deep Web sources into phrase queries, constructs query evaluation plans, and caches results for popular queries offline. Then at query time, keyword queries are simply matched with phrase queries to retrieve results. Deep2Q embodies a novel dual-ranking framework for query answering and novel solutions for discovering frequent attributes and queries. Preliminary experiments show the great potentials of Deep2Q.

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