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Querying and searching the deep web

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017
The term Deep Web (sometimes also called Hidden Web) [2, 5, 8] refers to the data content that is accessible through Web pages, typically via HTML forms, but is not available on static pages for indexing by search engines. Deep Web data reside in databases and are made available dynamically, as Web pages, upon a specific search or query.
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Adaptive query routing in peer web search

Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05, 2005
An unstructured peer network application was proposed to address the query forwarding problem of distributed search engines and scalability limitations of centralized search engines. Here we present novel techniques to improve local adaptive routing, showing they perform significantly better than a simple learning scheme driven by query response ...
Le-Shin Wu   +2 more
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Towards Web Search by Sentence Queries: Asking the Web for Query Substitutions

2011
In this paper, we propose a method to search the Web for sentence substitutions for a given sentence query. Our method uses only lexico-syntactic patterns dynamically generated from the input sentence query to collect sentence substitutions from the Web on demand.
Yusuke Yamamoto, Katsumi Tanaka
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Query Difficulty Prediction for Web Image Search

IEEE Transactions on Multimedia, 2012
Image search plays an important role in our daily life. Given a query, the image search engine is to retrieve images related to it. However, different queries have different search difficulty levels. For some queries, they are easy to be retrieved (the search engine can return very good search results).
Xinmei Tian, Yijuan Lu, Linjun Yang
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Topic-oriented query expansion for web search

Proceedings of the 15th international conference on World Wide Web, 2006
The contribution of this paper includes three folders: (1) To introduce a topic-oriented query expansion model based on the Information Bottleneck theory that classify terms into distinct topical clusters in order to find out candidate terms for the query expansion.
Shao-Chi Wang, Yuzuru Tanaka
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Web search queries and prostate cancer

The Lancet Oncology, 2020
Giovanni E, Cacciamani   +2 more
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Mining Web search engines for query suggestion

Concurrency and Computation: Practice and Experience, 2010
AbstractQueries to Web search engines are usually short and ambiguous, which provides insufficient information needs of users for effectively retrieving relevant Web pages. To address this problem, query suggestion is implemented by most search engines.
Zheng Xu   +3 more
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Transactional Query Identification in Web Search

2005
User queries on the Web can be classified into three types according to user’s intention: informational query, navigational query and transactional query. In this paper, a query type classification method and Service Link information for transactional queries are proposed. Web mediated activity is usually implemented by hyperlinks.
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Post-search query modeling in federated web scenario

The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014), 2014
As opposed to query reformulation oriented towards changes made by a user to specify the information need more precisely, a post-search query modeling is a technique of exploiting syntax variation of gradually extended query which depending on some other factors like e.g.
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Upgrading Web Search Queries

18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
Suhail S.J. Owais   +4 more
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