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2004
Springer

Towards a Better Understanding of the Language Content in the Semantic Web

9 years 3 months ago
Towards a Better Understanding of the Language Content in the Semantic Web
Internet content today is about 80% text-based. No matter static or dynamic, the information is encoded and presented as multilingual, unstructured natural language text pages. As the Semantic Web aims at turning Internet into a machine-understandable resource, it becomes important to consider the natural language content and to assess the feasibility and the innovation of the semantic-based approaches related to unstructured texts. This paper reports about work in progress, an experiment in semantic based annotation and explores scenarios for application of Semantic Web techniques to the textual pages in Internet.
Pavlin Dobrev, Albena Strupchanska, Galia Angelova
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where AIMSA
Authors Pavlin Dobrev, Albena Strupchanska, Galia Angelova
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