By Jiming Liu (auth.), Nadia Bianchi-Berthouze (eds.)
This e-book constitutes the refereed complaints of the 3rd overseas Workshop on Databases in Networked details structures, DNIS 2003, held in Aizu, Japan in September 2003.
The eleven revised complete papers provided including nine invited papers have been rigorously reviewed and chosen for presentation. The papers are geared up in topical sections on internet intelligence, info interchange and administration structures, info interchange between cyber groups, wisdom annotation and visualization.
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Connell, and A. Du "Automatic Discovery of Language Models for Text Databases". 479-490 (1999) D. Dreilinger, Adele E. Howe "Experiences with Selecting Search Engines Using Metasearch". 195-222 (1997) N. Fuhr "A decision-theoretic approach to database selection in networked IR". 229-249 (1999) S. Gauch, G. Wang, and M. Gomez "Profusion: Intelligent fusion from multiple, distributed search engines". 637-649 (1996) E. Glover, S. Lawrence, W. Birmingham, C. Lee Giles "Architecture of a Metasearch Engine that Supports User Information Needs".
G. e. e. the number of nodes from root to current node (the ordinary depth); 44 Vincenza Carchiolo et al.
Fig. 1. e. e. no other nodes, primary or not, must be present between the primary node and its leaves). Collections We define the collection as a set of consecutive HTML tags containing repeated similar structures. 1 represents a collection made of hyperlinks (the similarity here derives from the fact that some links embed tags, others do not). Collections extraction aims at giving a structural backbone to the page, in order to further discover logical sections, each made by one or more collections semantically related.
G. two tables with different number of rows to be displayed may still be semantically related. Finally, no weight is given for relative depth (it is indeed just used to select brother subtrees). 1 (0 would erase the corresponding term). We choose test web pages among home pages, since they have generally a more complex structure than inner pages, hence they are more significant. com), which is quite complex; we choose such pages since they belong to completely different context. Tables 3 and 4 represent primary tags properties for Texas University and Times respectively.