基于Ontology的文本信息抽取

网络中的电子文档以爆炸式的速度增长，其中很多数据是没有结构的或者半结构的，使信息的查询非常困难。提出一种基于Ontology的信息抽取方法。对需要信息抽取的领域，抽出它的关键词和信息片，并将其组织成为数据库的元组属性值，以方便查找。其实验数据来自WWW。

Web Information Extraction Based on Ontology

Electronically available data on the Web is exploding at an ever increasing pace.Much of this data is unstructured,which makes searching hard and traditional database querying impossible.For these kinds of documents we present a new approach to extracting information based on an application ontology that describes a domain of interest.For each unstructured document of interest,we extract its constants and and apply a recognizer to organize extracted constants as attribute values of tuples in a generated database schema.Our experiment data is come from World Wide Web.