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Outline
• What have we learned so far?
• What could a digital library really do?
• More selected extensions
• Final words
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What have we learned so far?
• Digital content industry overview
• Digital library case studies
• Digital repository system
• Digital library related technologies
• Knowledge management issues
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Digital Content Industry Overview
• Government project: e-Taiwan
• NSC-DMP
• NSC-NDAP
• CCA-NRCH
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NSC Projects
• NSC Digital Museum Project (DMP)
– 1998 – 2002
– Pilot projects & digital museum projects
• NSC National Digital Archives Program (NDAP)
– 2002 -- 2006
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NSC DMP
主題計畫
• 語文藝術類 ﹕ 4 件
• 人文社會類 ﹕ 12 件
• 自然生態類 ﹕ 5 件
• 生活醫療類： 4 件
• 建築與地理類﹕ 3 件
技術支援計畫
• 人文與自然資源地圖
• 搜文解字─語文知識網路
• 資源組織與檢索之規範
• 系統評估
• 數位典藏系統先導計畫
• 數位博物館影像版權資訊植入技術與軟體之開發
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NSC NDAP
• Combination of three major NSC projects
– Digital museum project
– Digital archive project
– International digital library project with NSF (US)
• As a basis of e-Taiwan project
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NSC NDAP (cont.)
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CCA NRCH
• 文化藝術活動資訊網路
提昇政府文化服務 及國際行銷
• 數位文化加值計畫• 故宮文物數位博物館建置 與加值應用計畫
創造文化產業經濟
加強文化藝術資源數位化 與應用
• 國家文化資料庫建置計畫• 國家文化藝術人才庫建置計畫• 文化藝術主題知識庫• 文化藝術數位資源應用與呈現計畫
強化文化機構基礎建設
‧ 文化藝術機構基礎建設
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Digital Archive Applications
原有典藏 數位化檔案群數位化檔案群
文化產業加值產業內容產業軟體產業
所有資訊相關之產業
教育與學習研究與發展資訊共享、公共資訊系統創造力、生產力、競爭力以及生活品質的提升
政府各部會民眾
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Digital Library Case Studies
• NTU digital library/museum project
– Content generation: centralized
– Information management: centralized
– Information access: centralized
• NSC NDAP project
– Content generation: distributed
– Information management: distributed
– Information access: distributed
• CCA NRCH project
– Content generation: distributed
– Information management: centralized & distributed
– Information access: centralized
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Usage Model
• Centralized information access
– Centralized information-lookup only
• Catalog (meta-information) centralized
• NDAP union catalog project: OAI-based
– Centralized information-lookup & content access
• Catalog & content centralized
• NRCH digital archive project
• Distributed information access
– Distributed information lookup
• OpenURL, Z39.50
– Distributed content access
• DOI
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Related Technologies
• XML/DTD
• Metadata description
• Multimedia processing
• You are already familiar with this from your term project!
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Knowledge Management Issue
• Turning data into information
– Resource organization
• convert digital content into useful information
• Meta-information
• Turning information into knowledge
– Information organization
• Semantics generation: ontology creation
• Meta-meta-information
• Classification problem
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The Problem
• With the increasing complexity of our systems and our IT needs, we need to go to human level interaction
• We need to maximize the amount of Semantics we can utilize
• From data and information level, we need to go to human semantic level interaction
DATA Information Knowledge
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VehicleLocated at
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decide
Vise maneuver
• And represented semantics means multiple represented semantics, requiring semantic integration
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Interpretation Continuum
Simple Metadata: XML
Human interpreted Computer interpreted
DATA KNOWLEDGE• Relatively unstructured• Random
• Very structured• Logical
Moving to the right depends on increasing automated semantic interpretation
• Info retrieval
• Web search
• Text summarization• Content extraction• Topic maps
• Reasoning services
• Ontology Induction
...Display raw documents;All interpretation done by humans
Find and correlate patterns in raw docs; display matches only
Store and connect patterns via conceptual model (i.e,. an ontology); link to docs to aid retrieval
Automatically acquire concepts; evolve ontologies into domain theories; link to institution repositories (e.g., MII)
Richer Metadata: RDF/S
Very Rich Metadata: DAML+OIL
Automatically span domain theories and institution repositories; inter-operate with fully interpreting computer
Interpretation Continuum
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Complexity of Ontology
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OWL: Web Ontology Language
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XTM: Topic Maps Language
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Semantic Analysis
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Categorization & Visualization
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Key Persons
• Information level
– Content experts
– Computer technologists
– Library/Information experts
• Knowledge level
– Content experts
– Computer technologists
– Cognitive scientists
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What could a digital library really do?
• Preservation
• Education
• Research
• Development
– Application
– Innovation
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Selected Digital Library Extensions
• Presentation– RIA: rich internet application
• Flash-based presentation
• AJAX-based presentation
• AFlax: combining Flash and AJAX technologies
– Visualization
• Service– Web service application
• UDDI
– Knowledge service• Standard transformation: XTM, OWL, SKOS, etc.
• Extension– Education: SCORM
• Archive/library content to learning content
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AJAX
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Conclusion
