基于本体概念的阿拉伯语网站排序新方法

Zakaryia Qawaqneh, E. El-Qawasmeh, A. Kayed
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引用次数: 11

摘要

最近,万维网上阿拉伯语网站的数量正在迅速增加。现有的搜索引擎是基于关键字检索信息的,因此为用户检索到大量的不相关信息。随着第二代万维网语义网的出现,可以建立许多依赖语义的信息检索方法。语义网提供了数据模型和语言,如资源描述框架(RDF)和web本体语言(WOL),它们有助于在特定领域内构建本体。本体可以捕获特定领域的概念。此外,它还可以捕获这些概念的属性及其关系。因此,它们帮助机器在语义上处理数据域。本文提出了一种利用本体概念度量阿拉伯语文档与用户查询相关性的新方法。本文建立了面向阿拉伯语电子商务领域的阿拉伯语本体概念。利用本体概念为阿拉伯语文档排序寻找新的方法,并展示了本体在检索相关文档方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New method for ranking arabic web sites using ontology concepts
Recently the numbers of Arabic web sites are rapidly increasing in the World Wide Web. Existing search engines retrieve information based on keywords, so huge number of irrelevant information is retrieved for users. By the appearing of the second generation of the World Wide Web the semantic web, many suitable approaches to retrieve information that depends on semantic can be built. Semantic web provides data models and languages such as Resource Description Framework (RDF), and Web Ontology Language (WOL) that facilitate building ontology within a specific domain. Ontology can capture concepts for specific domain. In addition, it can capture properties of these concepts, and their relationships. Therefore, they help machines to deal with data domain semantically. This paper proposes a new approach to measure the relevancy of Arabic documents to the user query using ontology concepts. In this paper we built Arabic ontology concepts for the electronic commerce domain in Arabic language. Ontology concepts are used to find new approach for ranking Arabic documents, and show the effectiveness of ontology in retrieving relevant documents.
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