The World Wide Web and Databases: Third International by Don Chamberlin, Jonathan Robie, Daniela Florescu (auth.), PDF

By Don Chamberlin, Jonathan Robie, Daniela Florescu (auth.), Gerhard Goos, Juris Hartmanis, Jan van Leeuwen, Dan Suciu, Gottfried Vossen (eds.)

ISBN-10: 3540418261

ISBN-13: 9783540418269

ISBN-10: 3540452710

ISBN-13: 9783540452713

With the improvement of the World-Wide internet, information administration difficulties have branched out from the conventional framework during which tabular info is processed lower than the stern keep watch over of an software, and deal with at the present time the wealthy number of info that's came upon on the net, contemplating a number of ?exible envir- ments lower than which such facts may be searched, classi ed , and processed. Da- base structures are coming ahead this day in a brand new position because the fundamental backend for the data supplied on the net. so much of today’s net accesses set off a few type of content material iteration from a database, whereas digital trade frequently triggers extensive DBMS-based functions. The learn group has all started to revise facts types, question languages, information integration concepts, - dexes, question processing algorithms, and transaction innovations on the way to focus on the features and scale of the information on the net. New difficulties were identi ed , between them goal-oriented info accumulating, administration of semi-structured info, or database-style question languages for net facts, to call quite a few. The foreign Workshop on the net and Databases (WebDB) is a chain of workshops meant to collect researchers attracted to the interplay among databases and the internet. This year’s WebDB 2000 used to be the 3rd within the sequence, and was once held in Dallas, Texas, at the side of the ACM SIGMOD foreign convention on administration of Data.

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Additional resources for The World Wide Web and Databases: Third International Workshop WebDB 2000 Dallas, TX, USA, May 18–19,2000 Selected Papers

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In order to do so, we treat the HTML tags as structured XML elements, extract the relevant attributes and text from them, and identify the most suitable ones to be used as hyperlink metadata. 2 Metadata Extraction In order to extract metadata for hyperlinks from an HTML document, we first convert the HTML document to a well-formed XML document. Most HTML browsers tend to be very forgiving and accept and display documents that are poorly formed HTML. We have an XML Filter that converts the HTML documents to well-formed XML documents, which performs extensive error recovery in the case of poorly formed HTML documents.

On-line New Event Detection and Tracking. In Proceedings of the 21th Ann Int ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’98), pages 37-45, 1998. 2. , Manber, U. and Schwartz, M.. The Harvest Information Discovery and Access System. In Proceedings of the Second International WWW Conference. 763-771, 1994. 3. , Heckerman, D. , Inductive Learning Algorithms and Representations for Text Categorization. Proceedings of the Seventh International Conference on Information and Knowledge Management, 1998.

In Proceedings of the Second International WWW Conference. 763-771, 1994. 3. , Heckerman, D. , Inductive Learning Algorithms and Representations for Text Categorization. Proceedings of the Seventh International Conference on Information and Knowledge Management, 1998. 4. , Text categorization with support vector machines: Learning with many relevant features. In Proceedings of the Tenth European Conference on Machine Learning ECML, 1998. 5. , Making large-Scale SVM Learning Practical. Advances in Kernel Methods Support Vector Learning, B.

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The World Wide Web and Databases: Third International Workshop WebDB 2000 Dallas, TX, USA, May 18–19,2000 Selected Papers by Don Chamberlin, Jonathan Robie, Daniela Florescu (auth.), Gerhard Goos, Juris Hartmanis, Jan van Leeuwen, Dan Suciu, Gottfried Vossen (eds.)


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