使用Web服务的基于本体的数据实例化

Rashin Rezazadeh, B. Shadgar, A. Osareh, Arshin Rezazadeh
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引用次数: 1

摘要

语义网旨在创建一个平台,在这个平台上,信息有其语义,并且可以由计算机自己理解和处理,而最少的人为干扰。本体理论及其相关技术的发展有助于构建这样一个平台,因为本体承诺为信息编码一定层次的语义,并提供一套通用词汇表供人或计算机进行通信。在本文中,我们介绍了一个叫做本体实例化的开源软件。该软件是为使用web服务构建和实例化图书本体而开发的。该软件帮助用户实例化亚马逊网站上的图书信息本体。该软件还允许用户在其生成的本体中合并另一个图书本体,并将它们集成到形式单元本体中。这个集成这些本体的软件使用了广泛的相似性度量,包括语义相似性、基于字符串的相似性和结构相似性。该树用于调查结构相似性。像维基百科、Word Net、谷歌和雅虎这样的词典被用来调查语义相似度和基于字符串的相似度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontology-Based Data Instantiation Using Web Service
The Semantic Web aims at creating a platform where information has its semantics and can be understood and processed by computers themselves with minimum human interference. Ontology theory and its related technology have been developed to help construct such a platform because ontology promises to encode certain levels of semantics for information and offers a set of common vocabulary for people or computer to communicate with. In this article, we introduced the open-source software called ontology instantiate. This software has been created for book ontology construction and instantiation using web services. This software helps users to instantiate ontology of book information on Amazon web site. This software also allows the user to merge another book ontology in its produced ontology and integrates them in the form unit ontology. This software for integration of these ontologies uses a wide range of similarity measures, including semantic similarity, string-based similarity and structural similarity. The tree is used for investigating the structural similarity. Dictionaries like Wikipedia, Word Net, Google and Yahoo is used for investigating semantic similarity and string-based similarity.
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