一种改进的基于本体的Web信息抽取  

Improved Ontology-based Web Information Extraction

作　　者：柳佳刚[1] 陈山[1] 黄樱[1] 

机构地区：[1]湖南工学院计算机科学系,衡阳421002

出　　处：《计算机工程》2010年第4期39-41,44,共4页Computer Engineering

基　　金：湖南省教育厅科研基金资助项目(09C297;07C032)

摘　　要：以Web页面信息项本体定义为基础,对单个样本页面信息项路径进行启发式学习,对所有样本页面集中信息块路径进行归纳学习,识别结构相似的信息块子树位置,以准确划定信息抽取区域,降低页面噪声。将经过噪声处理的样本页面自动解析成页面的结构本体。比较Web页面信息项本体和页面的结构本体,通过归纳学习算法生成抽取规则,提高Web信息的抽准率。On basis of definition of information item ontology for Web page, the heuristic learning is conducted for information items in sole sample Web page, and inductive learning is conducted for the path of information blocks in whole sample Web collection. A method for researching the path of Document Object Model（DOM） tree is proposed. Using this method, the location of the structured-like information block subtrees can be got, the areas of information extraction can be partition accurately. The construction ontology by automatic parsing the Web page filtering the noise is created. Compared the information item ontology with the construction ontology, the information extraction rules by using reconstructing inductive learning arithmetic are generated. The precision of information extraction is improved.

关 键 词：信息抽取 本体 归纳学习 文档对象模型 

分 类 号：N945[自然科学总论—系统科学]