92 0

A knowledge-based information extraction system for semi-structured labeled documents

Title
A knowledge-based information extraction system for semi-structured labeled documents
Author
오희국
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/20.500.11754/157488
ISBN
978-3-540-44025-3; 978-3-540-45675-9
DOI
10.1007/3-540-45675-9_18
Appears in Collections:
ETC[S] > 연구정보
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE