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Building Domain Ontology Based on Web Data and Generic Ontology

机译:基于Web数据和通用本体构建领域本体

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The automatic or semi-automatic construction of ontology has become a research topic of interest in recent years. This paper describes a mechanism for constructing domain specific ontologies automatically based on web data and generic ontology.Firstly, we employ the hierarchical agglomerative clustering(HAC) algorithm, clustering web pages hierarchically and resulting in a binary tree.Then an algorithm is proposed, which selectd from the binary tree the significative nodes as topics implying concepts of domain interests.Lastly, the Chinese generic ontology, HowNet, is introduced to evolve the topics (together with their hierarchical structures) into domain ontology.We experiment our method in the field of computer hardware based on web pages collected from Chinese BtoC web sites.An in-depth discussion on the experiment results is also given.
机译:近年来,本体的自动或半自动构建已成为人们关注的研究课题。本文介绍了一种基于Web数据和通用本体自动构建特定领域本体的机制。首先,采用层次聚类聚类(HAC)算法,对网页进行聚类并生成二叉树,然后提出一种算法。从二叉树中选择有意义的节点作为暗示领域兴趣概念的主题。最后,引入中文通用本体HowNet,将主题(及其层次结构)发展为领域本体。基于从中国BtoC网站收集的网页的计算机硬件。还对实验结果进行了深入的讨论。

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