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|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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