基于本体的商务领域文本检索的研究

Study on Text Retrieval in Business Field Based on Ontology

文本挖掘技术是从海量文本信息中获取潜在有用知识的有效途径。传统的文本挖掘方法由于不能有效运用语义信息而难以达到更高的准确度。本体论为语义信息的合理表示和有效组织提供了理论支持和技术手段,把本体引入到商务企业文本检索中,以文本的段落为检索的最小单位,提出了一个信息检索的模型。该模型能从文本中抽取信息而建立本体标识符,用本体标识符来表示文本的段落,从而对检索要求和段落进行语义匹配,最后得到检索结果。

Text mining is an effective means of detecting potentially useful knowledge from large text database.However,con- ventional text mining technology cannot achieve high accuracy,because it cannot effectively make use of the semantic informa- tion of the text.Ontology provides theoretical basis and technical support for semantic information representation and organiza- tion.This paper applies the concept of ontology into the enterprise text retrieval,provides an information retrieval model that can extract information from enterprise text to establish ontological descriptors and express paragraphs of text by deeming them as the minimal unit for retrieval,then the result of retrieval can be obtained after semantic matching the requirements and the paragraphs of retrieval.