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標題: | 知識地圖擷取模式之研究-以營建業知識為例 A Semantics Based Knowledge Map Extraction Model through Web Corpora-A Construction Industry Perspective |
作者: | Jia-Wei Wang 王嘉偉 |
指導教授: | 曾惠斌 |
關鍵字: | 知識管理,知識地圖,中文資訊擷取,詞彙階層叢集分類, Knowledge Map,Information Retrieval,Chinese Information Extraction,Words Semantics Hierarchical Clustering, |
出版年 : | 2005 |
學位: | 碩士 |
摘要: | 隨著時代的進展及工程技術的進步,營建知識體系愈趨龐大繁雜,如何有效管理營建產業知識一直以來皆為企業及學界相當重視的研究議題。傳統知識管理上對於知識的分享及整合通常藉由知識地圖的建構以提高知識擴散的效率。營建產業知識地圖目前主要仍藉由專業領域人士的學識及經驗針對相關領域知識依分類學法則建立特定知識領域之知識地圖,以降低營建業各組織間知識分享及知識流動之障礙。然而,現行營建業知識地圖建構方法不但耗費大量人力、時間及成本,所製作出之知識地圖亦為靜態,難以切合並適用營建知識體系瞬息萬變的特性。拜於近年來網際網路多媒體及資訊科技的大幅進步,網際網路資訊量呈爆炸性成長,網路上到處充斥著營建業各領域相關資訊,網路資訊儼然已成為營建業界及學界搜尋資訊的重要來源。為提供產業更快速有效之知識地圖建構方法論基礎,本研究藉由富含多元且即時之網路資訊及資訊擷取相關技術,並利用詞彙於文件群之分佈狀況特徵推論詞彙間之語意邏輯關係,挖掘深藏於文件群之知識本體概念,發展整合性之跨領域網路個人化知識地圖擷取模式。本研究最後亦根據此知識地圖擷取模式開發一自動化之知識地圖擷取系統,並利用實際案例操作分析系統分別在不同模式參數下的系統表現。本研究所發展之網路知識地圖擷取模式除可應用於網路資訊搜尋之輔助外亦可應用於企業電子化文件自動分類模式,以快速且有效之方式支援企業知識管理平台之運作,協助組織知識管理的執行,並提供業界及學界知識地圖建構方法論之基礎,以帶動產業知識地圖研究之發展。 As the growing advancement of the construction technology, the management of the construction knowledge becomes the important issue to fellow involved in this industry. Traditionally, in the knowledge management theoretical view, the construction of the knowledge map is one quintessential technique to integrate and share knowledge existing in the organization. However, owing to the complexity nature of construction knowledge system, the fabrication of construction knowledge map is much easier said than done. Furthermore, a dynamic knowledge map rather than a static one displaying ontology fits the characteristic of knowledge essence that varies from minute to minute. Besides, the lack of methodology to build the map forms the major drawback of the application of knowledge map. Thanks to the astonishing development of internet technology, the internet is filled with all kinds of abundant information at moments. Hence, in order to establish dynamic knowledge map varying with time or events, we make use of the diversified information from web corpus and combine several information techniques such as information retrieval, Chinese keyword extraction and terms hierarchical clustering figured out in this research to find the semantics logic relations between lexicons and develop knowledge map extraction model to mine the ontology hide behind the internet corpus. We also build an internet knowledge map auto-extraction system according to the model proposed in this paper and develop two indexes, keyword-extraction validity and map validity, to measure the system performance with real case at last. In this paper, we develop a knowledge map extraction model that could be applied to integrate the enterprise knowledge management system platform, and provide a foundation of methodology to construct knowledge map to assist the development of knowledge map related research. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24521 |
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顯示於系所單位: | 土木工程學系 |
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