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An Ontology Learning Method Based on Bootstrapping(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2008年04期
Page:
56-58
Research Field:
Publishing date:

Info

Title:
An Ontology Learning Method Based on Bootstrapping
Author(s):
Zhang Jun1; Gao Zhiqiang1; Xu Hui2; Cai Shiyan1; Dai Yunhui3
1.College of Computer Science and Engineering,Southeast University,Nanjing 210096,China;2.College of Software Engineering,Southeast University,Nanjing 210096,China;3.College of Economy,Nanjing University of Science and Technology,Nanjing 210094,China
Keywords:
in fo rm ation ex traction;  onto logy learn ing;  boo tstrapp ing
PACS:
TP391.1
DOI:
-
Abstract:
Th is pape r presents a boo tstrapp ing-based approach fo r on to logy learn ing wh ich can be used in field wo rds acqu isition. This approach only requires a sm a ll se t of seed term s and an unm arked corpus as its input, and it learns extraction patterns using seed te rm s, and detects new fie ld te rm s us ing patte rns lea rned be fo re, and aga in using new ly acqu ired field term s to d iscover nove l ex traction pa tterns, and iterate on. Experim ents show that this approach produces a re lative ly h igh-quality dom a in-specific dictionary and a set of ex traction patternsw hich can be consequently app lied to inform ation extraction in re la ted dom a in

References:

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Last Update: 2013-04-24