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Hybrid Architecture for Web Search Systems Based on Hierarchical Taxonomies

並列摘要


Search systems based on hierarchical taxonomies provide a specific type of search functionality that is not provided by conventional search engines. For instance, using a taxonomy, the user can look for documents related to just one of the categories of the taxonomy. This paper describes a hybrid data architecture that improves the performance of restricted searches for a few categories of a taxonomy. The proposed architecture is based on a hybrid data structure composed of an inverted file with multiple integrated signature files. A detailed analysis of superimposing codes on directed acyclic graphs proves that they adapt perfectly well to a search system based on a hierarchical ontology. Two variants are presented: the hybrid architecture with complete information and the hybrid architecture with partial information. The validity of this hybrid architecture was analyzed by developing and comparing it with a basic architecture. The performance of restricted queries is clearly improved, especially with the hybrid architecture with partial information. This variant outperformed by 50% the basic architecture for all workload environments, with a slight reduction in performance for the lower levels of the graph.

被引用紀錄


Lin, F. C. (2009). 運用搜尋關鍵字、社會化書籤與標籤以實現考慮信任度的個人化知識分享 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2009.00610
方銘毅(2012)。搜尋引擎結果分群系統於網站最佳化之運用〔碩士論文,大同大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0081-3001201315113582
陳麗娟(2015)。整合網路口碑之個人化醫療院所推薦系統-以牙醫診所為例〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512060071

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