博碩士論文 102423032 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊管理學系zh_TW
DC.creator胡小亮zh_TW
DC.creatorHsiao-liang Huen_US
dc.date.accessioned2015-7-8T07:39:07Z
dc.date.available2015-7-8T07:39:07Z
dc.date.issued2015
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=102423032
dc.contributor.department資訊管理學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract專案在進行的過程中會面臨許多不確定性的問題,如果能夠事先知道有哪些風險並設法降低或消除它所帶來的影響,將有利專案之順利進行。由於辨認風險是一個知識密集的活動,其必須仰賴專案人員的經驗,因此專案人員的風險知識與經驗多寡將會影響辨識的正確性。另外,由於風險之間可能會有交互影響關係,故風險辨識亦應包含辨識風險之間的關聯。有鑑於本體論常被應用於知識管理,其適合處理並整合專家的知識,耑此,本研究嘗試建立一個以本體論為基礎的專家系統,來塑模組織經驗及知識以協助專案團隊辨識風險項目,並進一步推論風險間的交互影響關係,以能正確掌握專案風險脈絡。本研究之系統是以網頁的方式呈現,並實際以個案公司提供的案例來說明和展示系統的操作。zh_TW
dc.description.abstractSoftware development is dynamic and risky in nature. The development of a software project would be conducted successfully if risky can be identified and controlled properly. Because risk identification is a knowledge-intensive process, it depends on the experience of project members, which would affect the effectiveness of risk identification and control. Besides, risks may have interrelations so that the identification should also consider the interrelation of risks. Owing to the wide usage of ontology in knowledge management, this research attempt to establish an expert system based on ontology, which models the experience and knowledge of organization, to support project members to identify risks. The proposed system can further identify potential and their risks interrelationship. This study will be implemented into a web-based system, and use a case to demonstrate and verify the usage of the system.en_US
DC.subject軟體專案風險管理zh_TW
DC.subject風險辨識zh_TW
DC.subject本體論zh_TW
DC.subject知識密集zh_TW
DC.subject專家系統zh_TW
DC.subjectSoftware project risk managementen_US
DC.subjectRisk identificationen_US
DC.subjectOntologyen_US
DC.subjectKnowledge-intensiveen_US
DC.subjectExpert systemen_US
DC.title設計並建立以本體論為基礎之風險辨識資訊系統zh_TW
dc.language.isozh-TWzh-TW
DC.titleThe Design and Development of Ontology-Based Risk Identification Information Systemen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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