Information extraction and ontology population using GATE.

88 p.

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Bibliographic Details
Main Author: Tan, Luke Kien Weng.
Other Authors: Jin Cheon Na
Format: Theses and Dissertations
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/35705
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-35705
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spelling sg-ntu-dr.10356-357052019-12-10T11:23:48Z Information extraction and ontology population using GATE. Tan, Luke Kien Weng. Jin Cheon Na Wee Kim Wee School of Communication and Information DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval 88 p. This study presents a prototype system that implements an Information Extraction (IE) method to derive and analyze relationships between entities extracted from terrorism domain text corpus. The system automatically populates a pre-defined ontology for further analysis through visualization and query on the ontology. Methodologies available in IE together with ontology concepts were evaluated and implemented into the system to derive knowledge from unstructured text. Master of Science (Information Studies) 2010-04-23T01:22:43Z 2010-04-23T01:22:43Z 2007 2007 Thesis http://hdl.handle.net/10356/35705 application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Tan, Luke Kien Weng.
Information extraction and ontology population using GATE.
description 88 p.
author2 Jin Cheon Na
author_facet Jin Cheon Na
Tan, Luke Kien Weng.
format Theses and Dissertations
author Tan, Luke Kien Weng.
author_sort Tan, Luke Kien Weng.
title Information extraction and ontology population using GATE.
title_short Information extraction and ontology population using GATE.
title_full Information extraction and ontology population using GATE.
title_fullStr Information extraction and ontology population using GATE.
title_full_unstemmed Information extraction and ontology population using GATE.
title_sort information extraction and ontology population using gate.
publishDate 2010
url http://hdl.handle.net/10356/35705
_version_ 1681040075257806848