A Semantics Based Knowledge Map Extraction Model through Web Corpora-A Construction Industry Perspective
Date Issued
2005
Date
2005
Author(s)
Wang, Jia-Wei
DOI
zh-TW
Abstract
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.
Subjects
知識管理
知識地圖
詞彙階層叢集分類
Knowledge Map
Information Retrieval
Chinese Information Extraction
Words Semantics Hierarchical Clustering
Type
thesis
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