A design of semantic search for web documents - using Diabetes data set

碩士 === 國立聯合大學 === 資訊管理學系碩士班 === 100 === The fast growth of the World Wild Web, mass of data have been on-line accessible. Currently, techniques for content description and query processing in information retrieval (IR) are based on keywords, and therefore provide limited capabilities to capture the...

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Bibliographic Details
Main Authors: Huang,Chintun, 黃金惇
Other Authors: Chen,Pochi
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/58856892486583367226
Description
Summary:碩士 === 國立聯合大學 === 資訊管理學系碩士班 === 100 === The fast growth of the World Wild Web, mass of data have been on-line accessible. Currently, techniques for content description and query processing in information retrieval (IR) are based on keywords, and therefore provide limited capabilities to capture the concepturalization associated with user intentions. The studies of conceptual search, understood as searching by meanings or semantic search rather than literal strings, has been the focus of a wide body of research. In this study, we focus on the web documents of Diabetes in Mandarin. Based on information retrieval technique, we design a process to retrieve web documents which whether there is diabetes-related concepts. We want to show a tool which could help automatically annotating such documents and therefore make the semantic search work.