Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 97 === In the shop floor of a factory, operators have to use machines to perform manufacturing processes. Usually the operation status of machines can be identified via sounds. In the equipment user manuals, knowledge is usually represented via texts or illustration...

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Main Authors: Lee Jing-Wen, 李靜玟
Other Authors: Hou Jiang-Liang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/14169045862391646238
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spelling ndltd-TW-097NTHU50310272015-11-20T04:19:10Z http://ndltd.ncl.edu.tw/handle/14169045862391646238 Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals 提升知識再利用效能之聲音知識語音化—以設備操作手冊為例 Lee Jing-Wen 李靜玟 碩士 國立清華大學 工業工程與工程管理學系 97 In the shop floor of a factory, operators have to use machines to perform manufacturing processes. Usually the operation status of machines can be identified via sounds. In the equipment user manuals, knowledge is usually represented via texts or illustrations and knowledge receivers might spend much time to recognize the text-based sound expressions. Thus, a vocalization representation scheme for the text-based sound expressions can assist knowledge receivers to efficiently and effectively recognize this type of knowledge. This research aims at developing a knowledge vocalization methodology in order to convert the knowledge contents with text-based sound expressions into the vocalized expressions. The proposed methodology consists of three modules namely Sound Expression Identification (SEI), Target Sentence Extraction and Formatting (TSEF) and Knowledge Content Vocalization (KCV). In the SEI module, the components with sound expressions are identified from the sentences. Based on the identified sound components, the target sentences with sound expressions are extracted from the free-form documents and expressed as formatted matrices via the TSEF module. In the KCV module, all text-based, formatted sound expressions are represented via vocalized expressions. As the knowledge contents with sound expressions can be represented via knowledge vocalization, knowledge receivers can efficiently recognize the knowledge contents and knowledge reuse can be facilitated. Moreover, based on the proposed methodology, a Web-based prototype system for vocalized knowledge sharing is also developed and the equipment manuals are employed to evaluate the feasibility and performance of the proposed methodology. As a whole, this research provides a knowledge representation and vocalization model to facilitate knowledge receivers to efficiently and accurately acquire the knowledge contents with sound expressions. Hou Jiang-Liang 侯建良 2009 學位論文 ; thesis 235 zh-TW
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language zh-TW
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description 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 97 === In the shop floor of a factory, operators have to use machines to perform manufacturing processes. Usually the operation status of machines can be identified via sounds. In the equipment user manuals, knowledge is usually represented via texts or illustrations and knowledge receivers might spend much time to recognize the text-based sound expressions. Thus, a vocalization representation scheme for the text-based sound expressions can assist knowledge receivers to efficiently and effectively recognize this type of knowledge. This research aims at developing a knowledge vocalization methodology in order to convert the knowledge contents with text-based sound expressions into the vocalized expressions. The proposed methodology consists of three modules namely Sound Expression Identification (SEI), Target Sentence Extraction and Formatting (TSEF) and Knowledge Content Vocalization (KCV). In the SEI module, the components with sound expressions are identified from the sentences. Based on the identified sound components, the target sentences with sound expressions are extracted from the free-form documents and expressed as formatted matrices via the TSEF module. In the KCV module, all text-based, formatted sound expressions are represented via vocalized expressions. As the knowledge contents with sound expressions can be represented via knowledge vocalization, knowledge receivers can efficiently recognize the knowledge contents and knowledge reuse can be facilitated. Moreover, based on the proposed methodology, a Web-based prototype system for vocalized knowledge sharing is also developed and the equipment manuals are employed to evaluate the feasibility and performance of the proposed methodology. As a whole, this research provides a knowledge representation and vocalization model to facilitate knowledge receivers to efficiently and accurately acquire the knowledge contents with sound expressions.
author2 Hou Jiang-Liang
author_facet Hou Jiang-Liang
Lee Jing-Wen
李靜玟
author Lee Jing-Wen
李靜玟
spellingShingle Lee Jing-Wen
李靜玟
Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals
author_sort Lee Jing-Wen
title Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals
title_short Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals
title_full Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals
title_fullStr Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals
title_full_unstemmed Knowledge Representation via Knowledge Vocalization--A Case Study on Equipment User Manuals
title_sort knowledge representation via knowledge vocalization--a case study on equipment user manuals
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/14169045862391646238
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