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https://doi.org/10.1109/wise.2...
Article . 2002 . Peer-reviewed
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Modelling the Webspace of an intranet

Authors: van Zwol, Roelof; Apers, Peter M.G.;

Modelling the Webspace of an intranet

Abstract

Searching the Internet using the currently available search engines is not satisfactory. The techniques used there focus on the extraction of relevant information directly from the documents available on the World Wide Web. We introduce a new approach, which aims at describing the content of a Web space, formed by a collection of related documents, instead of looking at the single documents. By identifying concepts and the relationships among them, the content of a Web space is described semantically in a schema for the Web space. The main objective is that, by following this approach, we can start querying the content of a collection of related documents rather than the content of a single document. In this paper, we introduce a model for Web spaces that allows us to describe the concepts at a semantic level, in terms of classes, associations over classes and attributes of classes. At the syntactic level, we use XML to describe information as instantiations of the concepts defined in the Web space schema. Dealing with data on the Web implies dealing with semi-structured data. We discuss how this relates to our model for a Web space and show how to deal with these aspects efficiently when moving towards an implementation.

Country
Netherlands
Related Organizations
Keywords

IR-18914, DB-MOD: DATA MODELLING, METIS-119436, EWI-7385

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    popularity
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    influence
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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!
1
Average
Average
Average