SlideShare a Scribd company logo
1 of 40
「デジタル化時代における知識基盤の構築と人文学の役割」2011年11月29日




共有・再利用のための知のデジタル・アーカイブ
Digital Archive of Knowledge for Sharing and Re-using


           武田英明                                Hideaki Takeda
      国立情報学研究所                     National Institute of Informatics

           takeda@nii.ac.jp(email) @takechan2000(twitter)
                            LODAC project team
        大向一輝、加藤文彦、松村冬子、嘉村哲郎、高橋徹、上田洋
   I. Ohmukai, F. Kato, F. Matsumura, T. Kamura, T. Takahashi, H. Ueda

                                       Hideaki Takeda / National Institute of Informatics
What is value of information?




               Hideaki Takeda / National Institute of Informatics
It is a silly question.
Information has its own value.
That’s it?
Probably no…


               Hideaki Takeda / National Institute of Informatics
Value of information is laid in
lifecycle of information




                Hideaki Takeda / National Institute of Informatics
Lifecycle of Information

          Share



Collect                     Publish


          Use
             &
           Create
              Hideaki Takeda / National Institute of Informatics
Lifecycle of Information
   Information can be created only based on existing information
      No information can be created out of nothing
                               Share
      Collect – Use & Create

   Value of information is how much it is used
      No value for information without use

      Use & Create – Publish


                Collect                       Publish
    Accumulation of information is the wealth of society
      Distribution of information is the health of society

      Publish – Share -- Collect


                              Use
                                  &
                                Create
                                   Hideaki Takeda / National Institute of Informatics
Archiving in Lifecycle of Information

                Share



    Collect                      Publish


                Use                                Archiving
                   &
                 Create
                   Hideaki Takeda / National Institute of Informatics
Archiving in Lifecycle of Information
                               Just a part of life cycle
                                  Lack of SHARING!
                Share



    Collect                      Publish


                Use                                Archiving
                   &
                 Create
                   Hideaki Takeda / National Institute of Informatics
How can we make information
     open and shared?
                                         Share



                         Collect                      Publish


                                         Use
                                             &
                                            Create
              Hideaki Takeda / National Institute of Informatics
Linked Data
   Linked Data is “Web of Data”
                                                 Standard format
      Data published as RDF
                                              Linkable to each other!
      Can refer from outside

   Four conditions for Linked Data
      Use URIs as names for things

      Use HTTP URIs (http://..) so that people can look up those
       names.
      When someone looks up a URI, provide useful information, using
       the standards (RDF, SPARQL)
      Include links to other URIs. so that they can discover more
       things.

Linked Data, TBL, http://www.w3.org/DesignIssues/LinkedData.html
                                    Hideaki Takeda / National Institute of Informatics
LOD Cloud
   (Linking Open Data)




Open and Share!

             Hideaki Takeda / National Institute of Informatics
Linked Data and MLA
   Library
      Many national libraries open bibliographic and authority data as
       LOD
         British Library

         Library of Congress

         National Diet Library

        …

   Museum
      Ongoing now

         Europeana

   W3C (World Wide Web Consortium) Incubator Group Report on
    Library Linked Data
      http://www.w3.org/2005/Incubator/lld/XGR-lld-20111025/
                                      Hideaki Takeda / National Institute of Informatics
Hideaki Takeda / National Institute of Informatics
2008                                                                    2010
     prototype                                                               operational service


         13 million objects
         28 data aggregators
         1500 participating institutions
         200 partners
         35 FTE’s
         21 projects
         1 million visits in 2010
         30,000 My Europeana signee
         Stable portal
         Open Source Code
         EuropeanaLabs
         Public Domain Charter

Jill Cousins, Europeana Overview, Europeana Open Culture 2010
http://version1.europeana.eu/web/europeana-plenary-2010/presentations
                                                      Hideaki Takeda / National Institute of Informatics
LODAC Project
   Open Social Semantic Web Platform for Academic Resources
      Providing platforms for Linked Data

      Practicing data accumulation and publishing

   Interested Areas
      Museum information

      Geographical information, especially geographical names

      Local information

      Biological information (species information)

      …




                                    Hideaki Takeda / National Institute of Informatics
LODAC-Museum (tentative)
   The state-of-the-art of museum information in
      Distributed

         Self-maintained

         Isolated

      Opaque

         Self-designed

         Messy

   Aggregating and associating museum information
      LODAC-Museum (tentative)




                                   Hideaki Takeda / National Institute of Informatics
LODAC Museum (tentative)
   Collecting information from museum web sites
      Over 50 museum sites

   Associating information together
      By creators

      By works

   Publishing as Linked Data
      URI

      RDF




                                    Hideaki Takeda / National Institute of Informatics
Integration Policy
   How to integrate data from different sources
      sharing of responsibility

         Each source is responsible for its data

             Identifying IDs for data and managing data with the IDs

         LODAC is only responsible for integration

             Assigning original IDs and associating other IDs to them




                                     Hideaki Takeda / National Institute of Informatics
Hideaki Takeda / National Institute of Informatics
Identified
  information
(incls. a list of
     work)




      Hideaki Takeda / National Institute of Informatics
From Wikipedia




                 Hideaki Takeda / National Institute of Informatics
From Japan Art
   thesaurus




                 Hideaki Takeda / National Institute of Informatics
徳島県立美術館                       日本美術シソーラス                    国指定文化財データベース
         Tokushima Pref. Museum        Japan Art Thesaurus             National Designated Cultural Property DB




      国立東京近代美術館                                  福井県立美術館
National Museum of Modern Art, Tokyo              Fukui Pref. Museum




                                                   Hideaki Takeda / National Institute of Informatics
Other search examples
   Works of which title includes “仏(buddha)” hold by shrines




                                    Hideaki Takeda / National Institute of Informatics
Other search examples
   Find museums holding a wide variety of works with specific
    methods?




                                   Hideaki Takeda / National Institute of Informatics
Data in LODAC Museum
Museums                       Data no.                                                      Integration of data
     Source museums or DB                 Type         Data No.      統合項目                       情報源                データ数    統合数
 国立美術館(西美を除く3館)                        Work      25180                Museum          Japan Art Thesaurus DB        648     77
 国立西洋美術館                               work      4373                                 Cultural Heritage Online      915
 京都国立博物館                               work      5819                Work title       Japan Art Thesaurus DB       3800     74
 奈良国立博物館                               work      431                                  (work)

 福島県立美術館                               Work      20
                                                         Now over 50 museums!
                                                                       National Designated                         10115
                                                                                      Cultural Property DB(Work)
 栃木県立美術館                               Work      32
                                                                      Work by         Japan Art Thesaurus DB       1332    15020
 秋田県立近代美術館                             Work      22               identified person   (Person)
 岩手県立美術館                               Work      1558
                                                                                      Museums (work)               61861
 徳島県立近代美術館                             Work      18482
                                                                       Person         Japan Art Thesaurus DB       1332    615
 山梨県立美術館                               Work      262                                  (Person)
 東京都現代美術館                              Work      5416                                 Museums (work)               61861
 香川県立東山魁夷せとうち美術館 Work                            266
 Japan Art Thesaurus DB                Work      3800
 Japan Art Thesaurus DB                Person    1332
 Japan Art Thesaurus DB                Group     289
 Japan Art Thesaurus DB                Museum    648
 Cultural Heritage Online              Museum    915
 National Designated        Cultural
                                       work      10115
 Property DB
                      合計                         103096
                                                                                                                                 26
                                                                       Hideaki Takeda / National Institute of Informatics
Applications
                     New values by association
                                        Associating information among
Museum LOD
                                         museum information
                                           Aggregation by subject
                  Geo LOD                     Ex. Author – work – local
                                               museum – local information
                                           Aggregation by location

Local info. LOD                               Ex. Local name – geographic
                       Scientific paper DB
                                               information – old name – old
                                               literature
                                      Associating information from different
                                         communities
                                           Ex. Wikipedia - articles - data
                                      Association with collective intelligence
                                           Integration with user generated
                                            contents                       27
                                         Hideaki Takeda / National Institute of Informatics
Hideaki Takeda / National Institute of Informatics
Hideaki Takeda / National Institute of Informatics
Hideaki Takeda / National Institute of Informatics
Annotation by users




          Hideaki Takeda / National Institute of Informatics
tathāgata
               Mahāvairocana




Hideaki Takeda / National Institute of Informatics
Hideaki Takeda / National Institute of Informatics
What is the impact
 for researchers?




          Hideaki Takeda / National Institute of Informatics
Change of research style




            Hideaki Takeda / National Institute of Informatics
From research with own data
To research with shared data




              Hideaki Takeda / National Institute of Informatics
Style of research
               - traditional approach -
              Open and shared in papers
  papers



researchers




  data

                               Hideaki Takeda / National Institute of Informatics
Style of research
              - shared data approach -
              Open and shared in papers
  papers



researchers




                   Open and shared in data



  data

                               Hideaki Takeda / National Institute of Informatics
Summary
   Value of information is laid on lifecycle of information
      Collect – User & Create – Publish(Open) – Share – Collect – …

      Open & Share is needed!

   Linked Open Data (LOD) is a way to open and share information
   LOD can add new values for information
   LOD can change research style




                                    Hideaki Takeda / National Institute of Informatics
Let’s move to
Open & Share Data World
        together



            Hideaki Takeda / National Institute of Informatics

More Related Content

Similar to Digital Archive of Knowledge for Sharing and Re-using

Use of Research (Meta-)Data - Finding researchers in/across organizations -
Use of Research (Meta-)Data  - Finding researchers in/across organizations -Use of Research (Meta-)Data  - Finding researchers in/across organizations -
Use of Research (Meta-)Data - Finding researchers in/across organizations - National Institute of Informatics (NII)
 
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012Apps4Finland
 
IFLA 2012 - OCLC Linked Data round table
IFLA 2012 - OCLC Linked Data round tableIFLA 2012 - OCLC Linked Data round table
IFLA 2012 - OCLC Linked Data round tableFigoblog
 
opening up japanese resources 4 linked data cloud
opening up japanese resources 4 linked data cloudopening up japanese resources 4 linked data cloud
opening up japanese resources 4 linked data cloudeveline wandl-vogt
 
Building the New Open Linked Library
Building the New Open Linked LibraryBuilding the New Open Linked Library
Building the New Open Linked LibraryJoel Richard
 
Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...
Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...
Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...National Institute of Informatics (NII)
 
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsJon Voss
 
DataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefDataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefCrossref
 
Digitization of Documentary Heritage Collections in Indic Language Comparativ...
Digitization of Documentary Heritage Collections in Indic LanguageComparativ...Digitization of Documentary Heritage Collections in Indic LanguageComparativ...
Digitization of Documentary Heritage Collections in Indic Language Comparativ...Anup Kumar Das
 
DBpedia in the Japanese LOD cloud
DBpedia in the Japanese LOD cloudDBpedia in the Japanese LOD cloud
DBpedia in the Japanese LOD cloudFumihiro Kato
 
Scalable Identifiers for Natural History Collections
Scalable Identifiers for Natural History CollectionsScalable Identifiers for Natural History Collections
Scalable Identifiers for Natural History CollectionsJohn Kunze
 
WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.
WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.
WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.`Shweta Bhavsar
 
The Experimental Project of DOI Registration for Research Data at Japan Link...
The Experimental Project of DOI Registration for Research Data at Japan Link...The Experimental Project of DOI Registration for Research Data at Japan Link...
The Experimental Project of DOI Registration for Research Data at Japan Link...National Institute of Informatics (NII)
 
Making Knowledge Infrastructure by “Identification”
Making Knowledge Infrastructure by “Identification” Making Knowledge Infrastructure by “Identification”
Making Knowledge Infrastructure by “Identification” ORCID, Inc
 
Library, Information and Society
Library, Information and SocietyLibrary, Information and Society
Library, Information and SocietySundar B N
 

Similar to Digital Archive of Knowledge for Sharing and Re-using (20)

Use of Research (Meta-)Data - Finding researchers in/across organizations -
Use of Research (Meta-)Data  - Finding researchers in/across organizations -Use of Research (Meta-)Data  - Finding researchers in/across organizations -
Use of Research (Meta-)Data - Finding researchers in/across organizations -
 
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012
Eero Hyvönen: Matkailusampo, Apps4Finland-työt Paikkatietomarkkinoilla 2012
 
LODAC Museum -- Connecting Museums with LOD --
LODAC Museum -- Connecting Museums with LOD --LODAC Museum -- Connecting Museums with LOD --
LODAC Museum -- Connecting Museums with LOD --
 
IFLA 2012 - OCLC Linked Data round table
IFLA 2012 - OCLC Linked Data round tableIFLA 2012 - OCLC Linked Data round table
IFLA 2012 - OCLC Linked Data round table
 
opening up japanese resources 4 linked data cloud
opening up japanese resources 4 linked data cloudopening up japanese resources 4 linked data cloud
opening up japanese resources 4 linked data cloud
 
Building the New Open Linked Library
Building the New Open Linked LibraryBuilding the New Open Linked Library
Building the New Open Linked Library
 
Doctoring Strange Results
Doctoring Strange ResultsDoctoring Strange Results
Doctoring Strange Results
 
Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...
Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...
Research Data-DOI Experiment in Japanese DOI Registration Agency (Japan Link ...
 
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & MuseumsALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
ALIAOnline Practical Linked (Open) Data for Libraries, Archives & Museums
 
DataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefDataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRef
 
Digitization of Documentary Heritage Collections in Indic Language Comparativ...
Digitization of Documentary Heritage Collections in Indic LanguageComparativ...Digitization of Documentary Heritage Collections in Indic LanguageComparativ...
Digitization of Documentary Heritage Collections in Indic Language Comparativ...
 
DBpedia in the Japanese LOD cloud
DBpedia in the Japanese LOD cloudDBpedia in the Japanese LOD cloud
DBpedia in the Japanese LOD cloud
 
Scalable Identifiers for Natural History Collections
Scalable Identifiers for Natural History CollectionsScalable Identifiers for Natural History Collections
Scalable Identifiers for Natural History Collections
 
EZID: Easy Persistent Identifiers and Data Citation
EZID: Easy Persistent Identifiers and Data CitationEZID: Easy Persistent Identifiers and Data Citation
EZID: Easy Persistent Identifiers and Data Citation
 
WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.
WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.
WHAT IS A DIGITAL LIBRARY? EXPLAIN NDLI AND ITS CONTRIBUTION.
 
The Experimental Project of DOI Registration for Research Data at Japan Link...
The Experimental Project of DOI Registration for Research Data at Japan Link...The Experimental Project of DOI Registration for Research Data at Japan Link...
The Experimental Project of DOI Registration for Research Data at Japan Link...
 
Making Knowledge Infrastructure by “Identification”
Making Knowledge Infrastructure by “Identification” Making Knowledge Infrastructure by “Identification”
Making Knowledge Infrastructure by “Identification”
 
Building DBpedia Japanese and Linked Data Cloud in Japanese
Building DBpedia Japanese and Linked Data Cloud in JapaneseBuilding DBpedia Japanese and Linked Data Cloud in Japanese
Building DBpedia Japanese and Linked Data Cloud in Japanese
 
Library, Information and Society
Library, Information and SocietyLibrary, Information and Society
Library, Information and Society
 
Towards Knowledge-Enabled Society
Towards Knowledge-Enabled SocietyTowards Knowledge-Enabled Society
Towards Knowledge-Enabled Society
 

More from National Institute of Informatics (NII)

趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)National Institute of Informatics (NII)
 
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜National Institute of Informatics (NII)
 
セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築National Institute of Informatics (NII)
 
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ National Institute of Informatics (NII)
 
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked DataPresenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked DataNational Institute of Informatics (NII)
 
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜National Institute of Informatics (NII)
 
研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向についてNational Institute of Informatics (NII)
 

More from National Institute of Informatics (NII) (20)

趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
趙簡単LOD入門 〜デジタル庁をデジタル化する〜 (改訂版)
 
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜趙簡単LOD入門 〜デジタル庁をデジタル化する〜
趙簡単LOD入門 〜デジタル庁をデジタル化する〜
 
"分人"型社会とAI
"分人"型社会とAI"分人"型社会とAI
"分人"型社会とAI
 
セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築セマンティックWeb技術を用いた農業分野の標準語彙の構築
セマンティックWeb技術を用いた農業分野の標準語彙の構築
 
研究オープンデータにおける大学と研究者の役割
研究オープンデータにおける大学と研究者の役割研究オープンデータにおける大学と研究者の役割
研究オープンデータにおける大学と研究者の役割
 
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
NII研究100連発 ウェブと人工知能の融合 -人間の創造性を刺激するコンピュータ
 
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked DataPresenting and Preserving the Change in Taxonomic Knowledge for Linked Data
Presenting and Preserving the Change in Taxonomic Knowledge for Linked Data
 
Crop vocabulary (CVO): Core vocabulary of crop names
Crop vocabulary (CVO): Core vocabulary of crop namesCrop vocabulary (CVO): Core vocabulary of crop names
Crop vocabulary (CVO): Core vocabulary of crop names
 
ORCIDとオープンサイエンス
ORCIDとオープンサイエンスORCIDとオープンサイエンス
ORCIDとオープンサイエンス
 
How to build ontologies - a case study of Agriculture Activity Ontology
How to build ontologies - a case study of Agriculture Activity OntologyHow to build ontologies - a case study of Agriculture Activity Ontology
How to build ontologies - a case study of Agriculture Activity Ontology
 
LODとオープンデータ (DBpediaとIMIの周辺を中心に)
LODとオープンデータ(DBpediaとIMIの周辺を中心に)LODとオープンデータ(DBpediaとIMIの周辺を中心に)
LODとオープンデータ (DBpediaとIMIの周辺を中心に)
 
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
共通語彙の構築の基本的な考え方と方法 〜研究データのために語彙・スキーマを作るには〜
 
Working with Global Infrastructure at a National Level
Working with Global Infrastructure at a National LevelWorking with Global Infrastructure at a National Level
Working with Global Infrastructure at a National Level
 
Activities of JaLC as a national service
Activities of JaLC as a national serviceActivities of JaLC as a national service
Activities of JaLC as a national service
 
Development and Application of Agriculture Ontologies
Development and Application of Agriculture Ontologies Development and Application of Agriculture Ontologies
Development and Application of Agriculture Ontologies
 
Design Process of Agriculture Ontologies
Design Process of Agriculture OntologiesDesign Process of Agriculture Ontologies
Design Process of Agriculture Ontologies
 
AIの未来 ~技術と社会の関係のダイナミクス~
AIの未来~技術と社会の関係のダイナミクス~AIの未来~技術と社会の関係のダイナミクス~
AIの未来 ~技術と社会の関係のダイナミクス~
 
研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について研究データ利活用に関する国内活動及び国際動向について
研究データ利活用に関する国内活動及び国際動向について
 
オープンサイエンスとオープンデータ
オープンサイエンスとオープンデータオープンサイエンスとオープンデータ
オープンサイエンスとオープンデータ
 
研究データ利活用協議会(仮)
研究データ利活用協議会(仮)研究データ利活用協議会(仮)
研究データ利活用協議会(仮)
 

Recently uploaded

Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 

Recently uploaded (20)

Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 

Digital Archive of Knowledge for Sharing and Re-using

  • 1. 「デジタル化時代における知識基盤の構築と人文学の役割」2011年11月29日 共有・再利用のための知のデジタル・アーカイブ Digital Archive of Knowledge for Sharing and Re-using 武田英明 Hideaki Takeda 国立情報学研究所 National Institute of Informatics takeda@nii.ac.jp(email) @takechan2000(twitter) LODAC project team 大向一輝、加藤文彦、松村冬子、嘉村哲郎、高橋徹、上田洋 I. Ohmukai, F. Kato, F. Matsumura, T. Kamura, T. Takahashi, H. Ueda Hideaki Takeda / National Institute of Informatics
  • 2. What is value of information? Hideaki Takeda / National Institute of Informatics
  • 3. It is a silly question. Information has its own value. That’s it? Probably no… Hideaki Takeda / National Institute of Informatics
  • 4. Value of information is laid in lifecycle of information Hideaki Takeda / National Institute of Informatics
  • 5. Lifecycle of Information Share Collect Publish Use & Create Hideaki Takeda / National Institute of Informatics
  • 6. Lifecycle of Information  Information can be created only based on existing information  No information can be created out of nothing Share  Collect – Use & Create  Value of information is how much it is used  No value for information without use  Use & Create – Publish  Collect Publish Accumulation of information is the wealth of society  Distribution of information is the health of society  Publish – Share -- Collect Use & Create Hideaki Takeda / National Institute of Informatics
  • 7. Archiving in Lifecycle of Information Share Collect Publish Use Archiving & Create Hideaki Takeda / National Institute of Informatics
  • 8. Archiving in Lifecycle of Information  Just a part of life cycle  Lack of SHARING! Share Collect Publish Use Archiving & Create Hideaki Takeda / National Institute of Informatics
  • 9. How can we make information open and shared? Share Collect Publish Use & Create Hideaki Takeda / National Institute of Informatics
  • 10. Linked Data  Linked Data is “Web of Data” Standard format  Data published as RDF Linkable to each other!  Can refer from outside  Four conditions for Linked Data  Use URIs as names for things  Use HTTP URIs (http://..) so that people can look up those names.  When someone looks up a URI, provide useful information, using the standards (RDF, SPARQL)  Include links to other URIs. so that they can discover more things. Linked Data, TBL, http://www.w3.org/DesignIssues/LinkedData.html Hideaki Takeda / National Institute of Informatics
  • 11. LOD Cloud (Linking Open Data) Open and Share! Hideaki Takeda / National Institute of Informatics
  • 12. Linked Data and MLA  Library  Many national libraries open bibliographic and authority data as LOD  British Library  Library of Congress  National Diet Library …  Museum  Ongoing now  Europeana  W3C (World Wide Web Consortium) Incubator Group Report on Library Linked Data  http://www.w3.org/2005/Incubator/lld/XGR-lld-20111025/ Hideaki Takeda / National Institute of Informatics
  • 13. Hideaki Takeda / National Institute of Informatics
  • 14. 2008 2010 prototype operational service 13 million objects 28 data aggregators 1500 participating institutions 200 partners 35 FTE’s 21 projects 1 million visits in 2010 30,000 My Europeana signee Stable portal Open Source Code EuropeanaLabs Public Domain Charter Jill Cousins, Europeana Overview, Europeana Open Culture 2010 http://version1.europeana.eu/web/europeana-plenary-2010/presentations Hideaki Takeda / National Institute of Informatics
  • 15. LODAC Project  Open Social Semantic Web Platform for Academic Resources  Providing platforms for Linked Data  Practicing data accumulation and publishing  Interested Areas  Museum information  Geographical information, especially geographical names  Local information  Biological information (species information)  … Hideaki Takeda / National Institute of Informatics
  • 16. LODAC-Museum (tentative)  The state-of-the-art of museum information in  Distributed  Self-maintained  Isolated  Opaque  Self-designed  Messy  Aggregating and associating museum information  LODAC-Museum (tentative) Hideaki Takeda / National Institute of Informatics
  • 17. LODAC Museum (tentative)  Collecting information from museum web sites  Over 50 museum sites  Associating information together  By creators  By works  Publishing as Linked Data  URI  RDF Hideaki Takeda / National Institute of Informatics
  • 18. Integration Policy  How to integrate data from different sources  sharing of responsibility  Each source is responsible for its data  Identifying IDs for data and managing data with the IDs  LODAC is only responsible for integration  Assigning original IDs and associating other IDs to them Hideaki Takeda / National Institute of Informatics
  • 19. Hideaki Takeda / National Institute of Informatics
  • 20. Identified information (incls. a list of work) Hideaki Takeda / National Institute of Informatics
  • 21. From Wikipedia Hideaki Takeda / National Institute of Informatics
  • 22. From Japan Art thesaurus Hideaki Takeda / National Institute of Informatics
  • 23. 徳島県立美術館 日本美術シソーラス 国指定文化財データベース Tokushima Pref. Museum Japan Art Thesaurus National Designated Cultural Property DB 国立東京近代美術館 福井県立美術館 National Museum of Modern Art, Tokyo Fukui Pref. Museum Hideaki Takeda / National Institute of Informatics
  • 24. Other search examples  Works of which title includes “仏(buddha)” hold by shrines Hideaki Takeda / National Institute of Informatics
  • 25. Other search examples  Find museums holding a wide variety of works with specific methods? Hideaki Takeda / National Institute of Informatics
  • 26. Data in LODAC Museum Museums Data no. Integration of data Source museums or DB Type Data No. 統合項目 情報源 データ数 統合数 国立美術館(西美を除く3館) Work 25180 Museum Japan Art Thesaurus DB 648 77 国立西洋美術館 work 4373 Cultural Heritage Online 915 京都国立博物館 work 5819 Work title Japan Art Thesaurus DB 3800 74 奈良国立博物館 work 431 (work) 福島県立美術館 Work 20 Now over 50 museums! National Designated 10115 Cultural Property DB(Work) 栃木県立美術館 Work 32 Work by Japan Art Thesaurus DB 1332 15020 秋田県立近代美術館 Work 22 identified person (Person) 岩手県立美術館 Work 1558 Museums (work) 61861 徳島県立近代美術館 Work 18482 Person Japan Art Thesaurus DB 1332 615 山梨県立美術館 Work 262 (Person) 東京都現代美術館 Work 5416 Museums (work) 61861 香川県立東山魁夷せとうち美術館 Work 266 Japan Art Thesaurus DB Work 3800 Japan Art Thesaurus DB Person 1332 Japan Art Thesaurus DB Group 289 Japan Art Thesaurus DB Museum 648 Cultural Heritage Online Museum 915 National Designated Cultural work 10115 Property DB 合計 103096 26 Hideaki Takeda / National Institute of Informatics
  • 27. Applications New values by association  Associating information among Museum LOD museum information  Aggregation by subject Geo LOD  Ex. Author – work – local museum – local information  Aggregation by location Local info. LOD  Ex. Local name – geographic Scientific paper DB information – old name – old literature  Associating information from different communities  Ex. Wikipedia - articles - data  Association with collective intelligence  Integration with user generated contents 27 Hideaki Takeda / National Institute of Informatics
  • 28. Hideaki Takeda / National Institute of Informatics
  • 29. Hideaki Takeda / National Institute of Informatics
  • 30. Hideaki Takeda / National Institute of Informatics
  • 31. Annotation by users Hideaki Takeda / National Institute of Informatics
  • 32. tathāgata Mahāvairocana Hideaki Takeda / National Institute of Informatics
  • 33. Hideaki Takeda / National Institute of Informatics
  • 34. What is the impact for researchers? Hideaki Takeda / National Institute of Informatics
  • 35. Change of research style Hideaki Takeda / National Institute of Informatics
  • 36. From research with own data To research with shared data Hideaki Takeda / National Institute of Informatics
  • 37. Style of research - traditional approach - Open and shared in papers papers researchers data Hideaki Takeda / National Institute of Informatics
  • 38. Style of research - shared data approach - Open and shared in papers papers researchers Open and shared in data data Hideaki Takeda / National Institute of Informatics
  • 39. Summary  Value of information is laid on lifecycle of information  Collect – User & Create – Publish(Open) – Share – Collect – …  Open & Share is needed!  Linked Open Data (LOD) is a way to open and share information  LOD can add new values for information  LOD can change research style Hideaki Takeda / National Institute of Informatics
  • 40. Let’s move to Open & Share Data World together Hideaki Takeda / National Institute of Informatics