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International Journal on Digital Libraries
Article . 1997 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
https://doi.org/10.1109/pdis.1...
Article . 2002 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object
Data sources: DBLP
DBLP
Article . 1997
Data sources: DBLP
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Querying the World Wide Web

Authors: Alberto O. Mendelzon; George A. Mihaila; Tova Milo;

Querying the World Wide Web

Abstract

The World Wide Web is a large, heterogeneous, distributed collection of documents connected by hypertext links. The most common technology currently used for searching the Web depends on sending information retrieval requests to "index servers". One problem with this is that these queries cannot exploit the structure and topology of the document network. The authors propose a query language, WebSQL, that takes advantage of multiple index servers without requiring users to know about them, and that integrates textual retrieval with structure and topology-based queries. They give a formal semantics for WebSQL using a calculus based on a novel "virtual graph" model of a document network. They propose a new theory of query cost based on the idea of "query locality," that is, how much of the network must be visited to answer a particular query. Finally, they describe a prototype implementation of WebSQL written in Java.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
221
Top 10%
Top 0.1%
Top 1%
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