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The success of the search engine may be our Newtonian paradigm for the Web. It enables us to do so much information discovery that it is difficult to imagine what we cannot do with it.
Inspired by the great success of information retrieval (IR) style keyword search on the web, keyword search on XML has emerged recently. The difference between text database and XML database results in three new challenges: 1) Identify the user search intention, i.e., identify the XML node types that user wants to
Analyzing users' Web log data and extracting their interests of Web-watching behaviors are important and challenging research topics of Web usage mining. Users visit their favorite sites and sometimes search new sites by performing keyword search on search engines. Users' Web-watching behaviors can be regarded as a
-processing of Web search results have been extensively studied to help user effectively obtain useful information. This paper has basically three parts. First part is the review study on how the keyword is expanded through truncation or wildcards (which is a little known feature but one of the most powerful one) by using
Search, to support db-page search. Dash determines db-pages possibly generated by a target web application and its database through exploring the application code and the related database content and supports keyword search on those db-pages. In this paper, we present its system design and focus on the efficiency issue. To
relational database of web pages. So there are many researches focusing on the search in these relational database with keywords, compared with these researches, our algorithms are mainly based on bags using the greedy algorithms and supporting the phrase recognition by utilizing multiple dictionaries. We make a comparison
Various researchers have recognized that ontology based retrieval is one of the best in terms of precision and recall for semantic search engine. However, they did not specify explicitly any scheme/ algorithm for ontology based indexing and retrieval. This motivates us to conceive a proposal that includes (a) suggesting indexing algorithm to effectively maintain ontologies, (b) suggesting retrieving...
This paper proposes an inverted-index-based, practical, encrypted search engine, including encrypted index creation, search, and maintenance methods. Recently, more and more patients are placing their medical data at online third-party services, such as Google Health. If such sensitive data are stored at a semi-trusted third-party, security guarantee is necessary for assurance of data confidentiality...
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