基于浅层语义分析技术的语义检索

Semantic Retrieval Based on Shallow Semantic Analysis Technology

在信息检索领域,语义检索技术较传统的关键字检索,无论在检索效果还是用户体验方面,都有诸多优势。语义检索融合了信息检索、语义分析以及信息融合等诸多方法,已成为现阶段该领域研究的一项重要技术。在Lu-cene索引技术基础之上,提出了语义检索的方法,即对语句进行语义分析,获得一种描述语句浅层语义信息的形式化表示,并对这种形式化表示建立索引;将表述语义联系的多层次相似度通过信息融合技术进行融合,并将其映射成查询语句与索引数据之间的相似度,达到语义检索的目的。

In the field of information retrieval,semantic retrieval performs better than traditional keywords retrieval in many aspects including effectiveness and User Experience.Semantic retrieval that has become an important technique in the specific domain integrates several methods such as information retrieval,semantic parsing and information integration.This semantic retrieval method based on Lucene analyzes sentences semantically and acquires a formal representation describing sentences＇ simple semantic content subsequently.Afterwards,index of this formal representation will be established.Since multi-levels＇ similarities demonstrating semantic relationships are merged by information fusion technology and mapped as similarities between query sentences and index data,the purpose of semantic retrieval will be achieved consequently.