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https://hdl.handle.net/10356/35705Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tan, Luke Kien Weng. | en_US |
| dc.date.accessioned | 2010-04-23T01:22:43Z | - |
| dc.date.available | 2010-04-23T01:22:43Z | - |
| dc.date.copyright | 2007 | en_US |
| dc.date.issued | 2007 | - |
| dc.identifier.uri | http://hdl.handle.net/10356/35705 | - |
| dc.description | 88 p. | en_US |
| dc.description.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. | en_US |
| dc.subject | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval | - |
| dc.title | Information extraction and ontology population using GATE. | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.supervisor | Jin Cheon Na | en_US |
| dc.contributor.school | Wee Kim Wee School of Communication and Information | en_US |
| dc.description.degree | Master of Science (Information Studies) | en_US |
| item.grantfulltext | restricted | - |
| item.fulltext | With Fulltext | - |
| Appears in Collections: | WKWSCI Theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| WKWSCI_THESES_19.pdf Restricted Access | 10.11 MB | Adobe PDF | View/Open |
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