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Communications of the ACM
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ACM Computing Surveys (CSUR)
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Journal of the American Society for Information Science and Technology - XML
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The WebCokace Knowledge Server
IEEE Internet Computing
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IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
ViDE: A Visual Data Extraction Environment for the Web
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
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WWW '03 Proceedings of the 12th international conference on World Wide Web
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ACM Transactions on Computer-Human Interaction (TOCHI)
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Journal on Educational Resources in Computing (JERIC)
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Computer Networks: The International Journal of Computer and Telecommunications Networking - Web security
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Proceedings of the twentieth ACM symposium on Operating systems principles
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Cha-Cha: a system for organizing intranet search results
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
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ACM Transactions on Internet Technology (TOIT)
A machine learning approach to web page filtering using content and structure analysis
Decision Support Systems
SpidersRUs: Creating specialized search engines in multiple languages
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Information Processing and Management: an International Journal
A testing framework for Web application security assessment
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web security
WeBrowSearch: toward web browser with autonomous search
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
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The two paradigms of searching and browsing are currently almost always used separately. One can either look at the library card catalog, or browse the shelves; one can either search large WWW sites (or the whole web), or browse page by page. In this paper we describe a software tool we developed, called WebGlimpse, that combines the two paradigms. It allows the search to be limited to a neighborhood of the current document. WebGlimpse automatically analyzes collections of web pages and computes those neighborhoods (at indexing time). With WebGlimpse users can browse at will, using the same pages; they can also jump from each page, through a search, to "close-by" pages related to their needs. In a sense, our combined paradigm allows users to browse using hypertext links that are constructed on the fly through a neighborhood search. The design of WebGlimpse concentrated on four goals: fast search, efficient indexing (both in terms of time and space), flexible facilities for defining neighborhoods, and non-wasteful use of Internet resources. Our implementation was geared towards the World-Wide Web, but the general design is applicable to any large-scale information bases. We believe that the concept of combining browsing and searching is very powerful, and deserves much more attention. Further information about WebGlimpse, including the complete source code, documentations, demos, and examples of use, can be found at http://glimpse.cs.arizona.edu/webglimpse/.