Breaking the Deadlock
Identifieur interne : 000252 ( Main/Exploration ); précédent : 000251; suivant : 000253Breaking the Deadlock
Auteurs : Fabio Rinaldi [Suisse] ; Kaarel Kaljurand [Suisse] ; James Dowdall [Suisse] ; Michael Hess [Suisse]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Abstract
Abstract: Many of the proposed approaches to the semantic web have a substantial drawback. They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases. We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. Advantages and drawbacks of both approaches are discussed.
Url:
DOI: 10.1007/978-3-540-39964-3_55
Affiliations:
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They are all based on the idea that web pages (or more generally, resources), will contain semantic annotations that would allow remote agents to access them. However the problem of creating these annotations is seldom addressed. Manual creation of the annotations is not a feasible option, except in a few experimental cases. We propose an approach based on Language Processing techniques that addresses this issue, at least for textual resources (which still constitute the vast majority of the material available on the web). Documents are analyzed fully automatically and converted into a semantic annotation, which can then be stored together with the original documents. It is this annotation that constitutes the machine understandable resource that remote agents can query. A semi-automatic approach is also considered, in which the system suggests candidate annotations and the user simply has to approve or reject them. Advantages and drawbacks of both approaches are discussed.</div></front></TEI><affiliations><list><country><li>Suisse</li></country><region><li>Canton de Zurich</li></region><settlement><li>Zurich</li></settlement><orgName><li>Université de Zurich</li></orgName></list><tree><country name="Suisse"><region name="Canton de Zurich"><name sortKey="Rinaldi, Fabio" sort="Rinaldi, Fabio" uniqKey="Rinaldi F" first="Fabio" last="Rinaldi">Fabio Rinaldi</name></region><name sortKey="Dowdall, James" sort="Dowdall, James" uniqKey="Dowdall J" first="James" last="Dowdall">James Dowdall</name><name sortKey="Hess, Michael" sort="Hess, Michael" uniqKey="Hess M" first="Michael" last="Hess">Michael Hess</name><name sortKey="Kaljurand, Kaarel" sort="Kaljurand, Kaarel" uniqKey="Kaljurand K" first="Kaarel" last="Kaljurand">Kaarel Kaljurand</name><name sortKey="Rinaldi, Fabio" sort="Rinaldi, Fabio" uniqKey="Rinaldi F" first="Fabio" last="Rinaldi">Fabio Rinaldi</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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