Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus

碩士 === 元智大學 === 資訊工程學系 === 95 === Web catalog integration has been addressed as an important issue in current digital content management. Past studies have shown that exploiting a flattened structure with auxiliary information extracted from the source catalog can improve the integration results. Al...

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Main Authors: Jui-Chi Ho, 何瑞琦
Other Authors: Cheng-Zen Yang
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/44200973346809404255
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spelling ndltd-TW-095YZU053920182016-05-23T04:17:52Z http://ndltd.ncl.edu.tw/handle/44200973346809404255 Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus 應用階層式概念關聯索引典於Web目錄整合之研究 Jui-Chi Ho 何瑞琦 碩士 元智大學 資訊工程學系 95 Web catalog integration has been addressed as an important issue in current digital content management. Past studies have shown that exploiting a flattened structure with auxiliary information extracted from the source catalog can improve the integration results. Although earlier studies have also shown that exploiting a hierarchical structure in classification may bring better advantages, the effectiveness has not been studied in catalog integration. In this thesis, we propose an enhanced catalog integration (ECI) approach extracting the conceptual relationships from the hierarchical Web thesaurus to improve the accuracy performance. We have conducted experiments with real-world catalogs in a flatten format and in a hierarchical format. The results show that the ECI scheme effectively boosts the integration accuracy of both the flattened scheme and the hierarchical scheme with the Support Vector Machine (SVM) classifiers. Cheng-Zen Yang 楊正仁 2007 學位論文 ; thesis 33 en_US
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description 碩士 === 元智大學 === 資訊工程學系 === 95 === Web catalog integration has been addressed as an important issue in current digital content management. Past studies have shown that exploiting a flattened structure with auxiliary information extracted from the source catalog can improve the integration results. Although earlier studies have also shown that exploiting a hierarchical structure in classification may bring better advantages, the effectiveness has not been studied in catalog integration. In this thesis, we propose an enhanced catalog integration (ECI) approach extracting the conceptual relationships from the hierarchical Web thesaurus to improve the accuracy performance. We have conducted experiments with real-world catalogs in a flatten format and in a hierarchical format. The results show that the ECI scheme effectively boosts the integration accuracy of both the flattened scheme and the hierarchical scheme with the Support Vector Machine (SVM) classifiers.
author2 Cheng-Zen Yang
author_facet Cheng-Zen Yang
Jui-Chi Ho
何瑞琦
author Jui-Chi Ho
何瑞琦
spellingShingle Jui-Chi Ho
何瑞琦
Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus
author_sort Jui-Chi Ho
title Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus
title_short Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus
title_full Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus
title_fullStr Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus
title_full_unstemmed Learning to Integrate Web Catalogs with Conceptual Relationships in a Hierarchical Thesaurus
title_sort learning to integrate web catalogs with conceptual relationships in a hierarchical thesaurus
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/44200973346809404255
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