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https://doi.org/10.5220/000557...
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https://doi.org/10.5220/000557...
Article . 2015 . Peer-reviewed
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An Automated Semantic Annotation Tool Supported by an Ontology in the Computer Science Domain

Authors: Rodrigo Espinoza; Andrés Melgar;

An Automated Semantic Annotation Tool Supported by an Ontology in the Computer Science Domain

Abstract

The annotation of documents can be performed manually, semi-assisted or automated, also it can use the help of different knowledge resources as a set of rules or ontology. In this paper, we show the design of a semantic annotation tool that works automatically on power in order to efficiently manage academic documents in spanish produced in the university related to computer science. The tool uses an ontology annotations to provide a corpus of documents the necessary attributes to be managed using other tools that use annotations as searchers or indexers. This is done by relating the concepts found in documents with concepts in the ontology performing semantic and syntactic comparisons, it is produced using open source tools for natural language processing and knowledge management.

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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!
0
Average
Average
Average
hybrid