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Title:
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BUILDING SEMANTIC ANNOTATIONS BY USING METADATA GENERATION AND IDENTIFICATION IN ORDER TO FIND PERTINENT INFORMATION IN A DIGITAL LIBRARY |
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Author(s):
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Rocío Abascal-mena , Béatrice Rumpler |
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ISBN:
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978-972-8924-68-3 |
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Editors:
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Pedro Isaías, Miguel Baptista Nunes and Dirk Ifenthaler |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Metadata, semantic annotation, XML, digital library, Natural Language Processing, ontology. |
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Type:
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Full Paper |
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First Page:
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275 |
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Last Page:
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282 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This article addresses the question of how semantic annotations could be exploited in order to support an author/reader in
the classification of text fragments within a document. Since the focus on fragments imposes additional efforts on the
annotating user, we propose an approach based on the automatic extraction of keyword candidates, by using Natural
Language Processing tools, for the fragment in question. This way, semantic metadata tags are used to annotate XML
documents. We present the process followed to define and to add new XML semantic metadata into the digital library of
scientific theses. Using these new metadata, an ontology is also built to complete the annotation process. Effective retrieval
information is obtained by using an intelligent system based on our XML semantic metadata and a domain ontology. |
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