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Enhanced Pattern Representation in Information Extraction
作者姓名:廖乐健  曹元大  张映波
作者单位:SchoolofInformationScienceandTechnology,BeijingInstituteofTechnology,Beijing100081,China
摘    要:Traditional pattern representation in information extraction lack in the ability of representing domainspecific concepts and are therefore devoid of flexibility. To overcome these restrictions, an enhanced pattern representation is designed which includes ontological concepts, neighboring-tree structures and soft constraints. An information-extraction inference engine based on hypothesis-generation and conflict-resolution is implemented.The proposed technique is successfully applied to an information extraction system for Chinese-language query front-end of a job-recruitment search engine.

关 键 词:信息提取  本体论  模型规则  概念增强模型  数结构模型
收稿时间:2003/4/25 0:00:00

Enhanced Pattern Representation in Information Extraction
LIAO Le-jian,CAO Yuan-da and ZHANG Ying-bo.Enhanced Pattern Representation in Information Extraction[J].Journal of Beijing Institute of Technology,2004,13(2):143-147.
Authors:LIAO Le-jian  CAO Yuan-da and ZHANG Ying-bo
Affiliation:School of Information Science and Technology, Beijing Institute of Technology,Beijing 100081,China
Abstract:Traditional pattern representation in information extraction lack in the ability of representing domain-specific concepts and are therefore devoid of flexibility. To overcome these restrictions, an enhanced pattern representation is designed which includes ontological concepts, neighboring-tree structures and soft constraints. An information-extraction inference engine based on hypothesis-generation and conflict-resolution is implemented. The proposed technique is successfully applied to an information extraction system for Chinese-language query front-end of a job-recruitment search engine.
Keywords:information extraction  ontology  pattern rules
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