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Visualizer for concept relations in an automatic meaning extraction system.

Purpose – The purpose of this paper is to discuss the visualizer interface that has been developed for the first phase of an automatic meaning extraction (AME) system. Design/methodology/approach – AME system was developed to automatically extract concepts and their relations across texts from all...

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Main Authors: Nasharuddin, Nurul Amelina, Abdul Hamid, Jamaliah, Ibrahim, Hamidah, Selamat, Mohd. Hasan, Abdullah, Rusli, Wan Isa, Wan Malini
Format: Article
Language:English
Published: Emerald Group Publishing Limited 2008
Online Access:http://psasir.upm.edu.my/id/eprint/17605/1/Visualizer%20for%20concept%20relations%20in%20an%20automatic%20meaning%20extraction%20system.pdf
http://psasir.upm.edu.my/id/eprint/17605/
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spelling my.upm.eprints.176052015-12-22T04:53:01Z http://psasir.upm.edu.my/id/eprint/17605/ Visualizer for concept relations in an automatic meaning extraction system. Nasharuddin, Nurul Amelina Abdul Hamid, Jamaliah Ibrahim, Hamidah Selamat, Mohd. Hasan Abdullah, Rusli Wan Isa, Wan Malini Purpose – The purpose of this paper is to discuss the visualizer interface that has been developed for the first phase of an automatic meaning extraction (AME) system. Design/methodology/approach – AME system was developed to automatically extract concepts and their relations across texts from all domains of knowledge. One challenge for the developer is to create interface tools that help the users use the system. This paper describes a visualizer interface that can map the concepts and relations in the form of two-dimensional graph or network. Findings – Using this visualizer, users can maximize the use of AME system by allowing the visualization of the concepts’ networks results. Users can search for a concept and view the relationships of the concept to other concepts. Those relationships can be traced back to the source sentences in the original documents through the “Show Text” function. Originality/value – This visualizer is useful in solving the problem of visualizing the relationships between concepts across varied domains of knowledge. The extraction of relationships in the AME system is based upon a unique connector-based relation extraction. It is particularly appropriate for target users such as the researcher, educators and learners. The visualizer implements the Java Universal Network/Graph Framework to provide a few functions that enable users to manipulate the concepts graph. Emerald Group Publishing Limited 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17605/1/Visualizer%20for%20concept%20relations%20in%20an%20automatic%20meaning%20extraction%20system.pdf Nasharuddin, Nurul Amelina and Abdul Hamid, Jamaliah and Ibrahim, Hamidah and Selamat, Mohd. Hasan and Abdullah, Rusli and Wan Isa, Wan Malini (2008) Visualizer for concept relations in an automatic meaning extraction system. The Journal of Information and Knowledge Management Systems, 38 (2). pp. 232-240. ISSN 0305-5728 DOI 10.1108/03055720810889860
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Purpose – The purpose of this paper is to discuss the visualizer interface that has been developed for the first phase of an automatic meaning extraction (AME) system. Design/methodology/approach – AME system was developed to automatically extract concepts and their relations across texts from all domains of knowledge. One challenge for the developer is to create interface tools that help the users use the system. This paper describes a visualizer interface that can map the concepts and relations in the form of two-dimensional graph or network. Findings – Using this visualizer, users can maximize the use of AME system by allowing the visualization of the concepts’ networks results. Users can search for a concept and view the relationships of the concept to other concepts. Those relationships can be traced back to the source sentences in the original documents through the “Show Text” function. Originality/value – This visualizer is useful in solving the problem of visualizing the relationships between concepts across varied domains of knowledge. The extraction of relationships in the AME system is based upon a unique connector-based relation extraction. It is particularly appropriate for target users such as the researcher, educators and learners. The visualizer implements the Java Universal Network/Graph Framework to provide a few functions that enable users to manipulate the concepts graph.
format Article
author Nasharuddin, Nurul Amelina
Abdul Hamid, Jamaliah
Ibrahim, Hamidah
Selamat, Mohd. Hasan
Abdullah, Rusli
Wan Isa, Wan Malini
spellingShingle Nasharuddin, Nurul Amelina
Abdul Hamid, Jamaliah
Ibrahim, Hamidah
Selamat, Mohd. Hasan
Abdullah, Rusli
Wan Isa, Wan Malini
Visualizer for concept relations in an automatic meaning extraction system.
author_facet Nasharuddin, Nurul Amelina
Abdul Hamid, Jamaliah
Ibrahim, Hamidah
Selamat, Mohd. Hasan
Abdullah, Rusli
Wan Isa, Wan Malini
author_sort Nasharuddin, Nurul Amelina
title Visualizer for concept relations in an automatic meaning extraction system.
title_short Visualizer for concept relations in an automatic meaning extraction system.
title_full Visualizer for concept relations in an automatic meaning extraction system.
title_fullStr Visualizer for concept relations in an automatic meaning extraction system.
title_full_unstemmed Visualizer for concept relations in an automatic meaning extraction system.
title_sort visualizer for concept relations in an automatic meaning extraction system.
publisher Emerald Group Publishing Limited
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/17605/1/Visualizer%20for%20concept%20relations%20in%20an%20automatic%20meaning%20extraction%20system.pdf
http://psasir.upm.edu.my/id/eprint/17605/
_version_ 1643826568160608256
score 13.211869

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