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A Knowledge-Based Information Extraction System for Semi-Structured Labeled Documents

Title
A Knowledge-Based Information Extraction System for Semi-Structured Labeled Documents
Author
최중민
Issue Date
2002-08
Publisher
SPRINGER-VERLAG BERLIN
Citation
Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, v. 2412, page. 105-110
Abstract
This paper presents a scheme of knowledge-based wrapper generation for semi-structured and labeled documents. The implementation of an agent-oriented information extraction system, XTROS, is described. In contrast with previous wrapper learning agents, XTROS represents both the domain knowledge and the wrappers by XML documents to increase modularity, flexibility, and interoperability. XTROS shows good performance on several Web sites in the domain of real estate, and it is expected to be easily adaptable to different domains by plugging in appropriate XML-based domain knowledge.
URI
https://link.springer.com/chapter/10.1007/3-540-45675-9_18https://repository.hanyang.ac.kr/handle/20.500.11754/157489
ISBN
978-3-540-44025-3; 978-3-540-45675-9
DOI
10.1007/3-540-45675-9_18
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학과) > Articles
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