Enhancement Framework of Semantic Query Expansion Using Mapped Ontology

Bazeer Ahamed B, R. Najimaldeen, Y. Duraisamy
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引用次数: 5

Abstract

In the present information age, providing correct information to the query with a limited concept is a challenging task. The modern adaptive Information Retrieval (IR) system is needed to provide valid information. Ontology-based on IR can provide a better solution. Ontology is a perception of shared conceptualization, represented by classes, properties, and objects. Ontology mapping offers a solution to integrate inter-domain knowledge. This paper presents a method for using ontologies to handle inter-domain query in information retrieval. Using ontology in IR for Query Expansion (QE) and document ranking seems to be the ultimate goal. The Multi-Domain Specific Ontology Mapping (MDOM) proposes the concepts derived from ontology for query expansion and information retrieval. The result shows the improvement in terms of better document ranking.
基于映射本体的语义查询扩展增强框架
在当前的信息时代,如何在有限的概念下为查询提供正确的信息是一项具有挑战性的任务。现代自适应信息检索系统需要提供有效的信息。基于IR的本体可以提供更好的解决方案。本体是对共享概念化的感知,由类、属性和对象表示。本体映射为跨领域知识集成提供了一种解决方案。提出了一种利用本体处理信息检索领域间查询的方法。在IR中使用本体进行查询扩展(QE)和文档排序似乎是最终目标。多领域特定本体映射(MDOM)提出了从本体派生的概念,用于查询扩展和信息检索。结果表明,在更好的文档排名方面有所改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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