Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/35705
Title: Information extraction and ontology population using GATE.
Authors: Tan, Luke Kien Weng.
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2007
Abstract: 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.
Description: 88 p.
URI: http://hdl.handle.net/10356/35705
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Theses

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