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Contributing to the Smart City
           through
     Linked Library Data
           关联的图书馆数据
           为智慧城市做贡献


          Marcia Lei Zeng           曾蕾
          Kent State University     肯特州立大学
          USA                       美国


                  Shanghai International Library Forum
                    (SILF 2012), July 17-19, Shanghai
                           第六届上海国际图书馆论坛
Why Linked Library Data                        为什么
are related to                           “智慧城和图书馆服务”
"smart city & library services"?        与图书馆关联数据相关?

             Major cities (e.g., Shanghai, Wuhan, Lanzhou,
             Chongqing) have not only city libraries but also sci/tech
             information centers, either as independent services or
             affiliated with research institutions.
             各大城市(上海、武汉、兰州、重庆等)除了有市图书馆外,
             还有大型情报所或研究所里的情报所。
             Major cities have many small museums, cultural heritage
             collections, and archives.
             很多城市都有很多小型博物馆、文化
             遗产特藏、档案资料等。
Bibliographic data in the scattered digital
repositories or local databases can be
aggregated and integrated with library data.
分散独立的数字仓储或数据库中的文献数据能
够与图书馆数据集成、整合到一起。
Library data have been limited to serve the
                 find, identify, select, and obtain functions.
                 图书馆数据一直局限于发现、确认、选择、
                 获得的功能。
                 There are many hidden access points that
                 can bring in much richer information and
                 knowledge through library data.
                 在图书馆数据中存在很多隐藏的获取点,
                 通过它们应该能带进更加丰富的信息和知
                 识。
Library data can be enriched through consuming the
data available in the LOD universe, providing much
more information and knowledge to library users.
图书馆数据可以通过对已有关联开放数据的消费得到丰富、
为图书馆用户提供更多有用的信息和知识。
Outline 发言大纲
Two research projects of preparing and
consuming Linked Open Data (LOD):
两个有关关联数据的项目:
 1. Unifying metadata from diverse non-library
 repositories and preparing Linked Open Data (LOD)-
 enabled bibliographic data (LODE-BD)
   将源于非图书馆的数字仓储的元数据资源转变为兼容的整合的
   可关联文献数据
 2. Connecting library data to the unfamiliar data and
 metadata resources in the LOD Universe
   连接图书馆数据与外界的开放关联数据(LOD)资源
1. LODE-BD Recommendations
   -- Report on how to select appropriate encoding
              strategies for producing
Linked Open Data (LOD)–Enabled Bibliographic Data
                 http://aims.fao.org/lode/bd
LODE-BD:可关联文献数据 (LODE-BD) 编码策略选择建议




Prepared by Imma Subirats Marcia Zeng
Situation: There are many non-library repositories.




           很多非图书馆仓储作为数据提供者或者服务提供者
Questions from the data providers:
To make local data into a Linked Data dataset ---
 What metadata standard(s) to follow?
 What is the minimal set of properties to include to
 insure meaningful data sharing?
 Is there any metadata model or application profile for
 my data?
 What data values to provide – plain text string or
 Unified Resource Identifier (URI)?
 How to encode our data in order to move
 from a local database to a Linked Data dataset?
为了将内部数据做成关联数据集,数据提供者面临众多
问题:元数据标准、最起码特征描述词汇、概念模型、
    应用纲要、数据值类型、编码等等
Analyzing various Data Dictionaries 各数据定义格式
& Sample Records                    &数据记录分析
            Example: <Responsible Body>- related data fields
Sorting out entities and relationships
      -- The conceptual model
  实体对象和相关关系-概念模型
                             About…



  Resource




           Agent
Clustering Properties
                    into 9 chunks
               将所有属性归纳到九个组




    Once
Once or many
  0 or once
 0 or many
LODE-BD
      Groups
LODE-BD九大组属性和关系
1. Title Information
2. Responsible Body
3. Physical Characteristics
4. Location
5. Subject
6. Description of content
7. Intellectual property
8. Usage
9. Relation between
documents / agents


                              http://aims.fao.org/fr/metadata/m2b



M2B:推荐一套最起码的、有描述和交流意义的文献元数据的属性和编码词汇
Walking through the LODE-BD decision trees, one by one.
                                            18个决策流程图,
                                            针对每个属性
                                            (property)
每个决策流程图提供具体步骤和实例
Implementation Options LODE-BD approach in m
                          可选择的实施方案

                Alternative #1, "Design-time" strategy: go
               back and change your current ad-hoc model
               to use the LODE “good practices” model.
               = > This means some changes to your database
               and the services that access it.
               方法#1,从根本上改变内部数据结构
               -“设计时”策略
               Alternative #2, "Run-time" strategy: you
               convert on the fly to a “good-practices”
               model upon request and leave your ad-hoc
               model unchanged.
               => This means adding a conversion service.
               方法#2,只在需要输出时才转换成推荐格式
               -“需要时”策略
Data Output Options
          数据输出选择方式:元数据记录/RDF描述

                                Records
                                记录
                                            search & browse

My data
                    Metadata
                   Repository             RDF graphs
                                           RDF 描述



     RDF
    graphs
   RDF描述




                                      LOD
2. Connecting library data to the unfamiliar
data and metadata resources in the LOD
Universe
-- The Metadata Vocabulary Junction Project
   2。连接图书馆数据与外界开放关联数据资源
        -元数据词汇枢纽站项目




         National Leadership Grants support projects that address
         challenges faced by the museum, library, and/or archive
         fields and that have the potential to advance practice in
         those fields.
3865 datasets
                                   (as of July 3,2012)

Project purpose:                               LOD is one of
  To connect library, archive, and museum      the groups in
  (LAM) data to the unfamiliar datasets            CKAN
  available in the Linked Data (LD)
  community’s CKAN Data Hub.

项目目的:连接图书馆、档案馆、博
物馆(LAM)数据与CKAN数据中心
的开放关联数据资源
例:音乐相关的        Example: Music-focused study
数据 (1)      -- Data collection and analysis (1)
LOD数据集:
             LOD Datasets:
               Identify music-related datasets
               Analyze the source of the data structures
                   Ontologies used
                   (e.g., Music Ontology, Similarity Ontology, Event Ontology,
                   Programmes Ontology, etc.)
                   Metadata schemas and application profiles
                   (e.g., BBC Music Schema and derivatives)
                   Structured data in XML/RDF samples
                   Documentation
                 Crosswalk their properties, indicating the
                 matching level
                   (e.g., broadMatch, equivelent, narrowMatch, etc.)
                 Identify major classes and properties useful to
                 library data
有哪些数据集?它们采用了什      (e.g., mo:MusicArtist, rev:Review, mo:Performance,
么样的本体、元数据表、数据      mo:performer, cc:license , dc:title, foaf:primaryTopic, etc.)
结构?产生匹配表。分析对图
书馆数据有用的实体类和属性。
Example: Music-focused study                                     例:音乐相关的
-- Data collection and analysis (2)                               数据 (2)
                                                                  图书馆数据:

LAM data from:
1. Library MARC sample records
   图书馆马克记录
      Classical/Instrumental
      Jazz
      Musical and Opera
      Pop/Rock
      Soundtrack
2.   Their schema.org markup in                 Break down the 'records' and find:
     the WorldCat
      WorldCat记录的schema置标
                                                • Common elements 常见元素
3.   Digital collections' metadata              • Possibility of linking to LOD
     structure                                    properties
     数字图书馆和数字特藏的元数                                哪些相关节点可能与LOD属性词汇
     据                                            联接
      20 digital collections from national
      libraries, academic libraries, achieves      • Major access points
      More types (e.g., sheet music)                  主要获取途径
                                                   • Hidden access points
                                                      隐藏着的可获取途径
Aligning Library data and LOD data constructs
            将图书馆数据与LOD数据结果相比较、匹配
LAM data:图情档博数据:
                                       LOD Datasets: LOD数据集
  Library bibliographic records
  图书馆文献数据                                Ontologies 本体
    MARC records 马克记录                    Metadata Application
    schema.org markup -schema置标
  Digital collection metadata            Profiles 元数据应用纲要
  数字特藏/数字图书馆元数据                          Structured data in XML/RDF
    Dublin Core-based 基于DC的              samples 样本数据格式
    Other locally defined 其它本地格式
  Archival descriptions 档案描述             Documentations 相关文献
    EAD, MARC, other
  Museum and Visual Resources object
  descriptions 博物馆实物描述
    VRA Core, other
http://lod-lam.slis.kent.edu/
Conclusions 结语
The technological groundwork has already been laid for
libraries and their users to benefit from Linked Data.
当前技术已经为图书馆及用户受益于关联数据奠定了基础
   What we need now: 目前需要的是:
    the intellectual preparation to support the discovery and reuse of LOD
    datasets appropriately and effectively
     精神上的准备:怎样合理有效发现和再利用
    the practical tools to facilitate such activities. 实际可用的工具
 What we can do: 我们可以做的事:
    Use existing library data as a bridge to enhance information and
    knowledge services within the libraries and beyond, thus to contribute
    to the building of a smart city.
    以现有图书馆数据为桥梁来增强图书馆信息机构的信息与知识服务
    机制,以此为共建智慧城市而做出贡献。
The Three Hares                           三兔图
589-618 AD (Sui dynasty)                  隋代 (公园589-618)
Cave 407, Mogao Caves, China              敦煌莫高窟第407窟藻井
UNESCO World Heritage Site                UNESCO世界遗产名录

INSPIRING CONCEPTS: sharing; interoperability; linking
Acknowledgement
           LODE-DB

Co-author: Imma Subirats, FAO of
the United Nation                        IMLS Leadership Grant
Funding: Partially through          Team:
European Commission ICT PSP            Co-P.I. Karen Gracy, Ph.D.
Grant #250525 for VOA3R (Virtual
Open Access Agriculture &
                                    Research Assistants
Aquaculture Repository: Sharing        Laurence Skirvin, M.L.S.
Scientific and Scholarly Research      Sammy Davidson, M.L.S.
related to Agriculture, Food, and      Shadi Shakeri
Environment).                          Riley Stoermer, M.L.S.
FAO AIMS team and expert            http://lod-lam.slis.kent.edu/
http://aims.fao.org/lode/bd

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Contributing to the Smart City Through Linked Library Data

  • 1. Contributing to the Smart City through Linked Library Data 关联的图书馆数据 为智慧城市做贡献 Marcia Lei Zeng 曾蕾 Kent State University 肯特州立大学 USA 美国 Shanghai International Library Forum (SILF 2012), July 17-19, Shanghai 第六届上海国际图书馆论坛
  • 2. Why Linked Library Data 为什么 are related to “智慧城和图书馆服务” "smart city & library services"? 与图书馆关联数据相关? Major cities (e.g., Shanghai, Wuhan, Lanzhou, Chongqing) have not only city libraries but also sci/tech information centers, either as independent services or affiliated with research institutions. 各大城市(上海、武汉、兰州、重庆等)除了有市图书馆外, 还有大型情报所或研究所里的情报所。 Major cities have many small museums, cultural heritage collections, and archives. 很多城市都有很多小型博物馆、文化 遗产特藏、档案资料等。 Bibliographic data in the scattered digital repositories or local databases can be aggregated and integrated with library data. 分散独立的数字仓储或数据库中的文献数据能 够与图书馆数据集成、整合到一起。
  • 3. Library data have been limited to serve the find, identify, select, and obtain functions. 图书馆数据一直局限于发现、确认、选择、 获得的功能。 There are many hidden access points that can bring in much richer information and knowledge through library data. 在图书馆数据中存在很多隐藏的获取点, 通过它们应该能带进更加丰富的信息和知 识。 Library data can be enriched through consuming the data available in the LOD universe, providing much more information and knowledge to library users. 图书馆数据可以通过对已有关联开放数据的消费得到丰富、 为图书馆用户提供更多有用的信息和知识。
  • 4. Outline 发言大纲 Two research projects of preparing and consuming Linked Open Data (LOD): 两个有关关联数据的项目: 1. Unifying metadata from diverse non-library repositories and preparing Linked Open Data (LOD)- enabled bibliographic data (LODE-BD) 将源于非图书馆的数字仓储的元数据资源转变为兼容的整合的 可关联文献数据 2. Connecting library data to the unfamiliar data and metadata resources in the LOD Universe 连接图书馆数据与外界的开放关联数据(LOD)资源
  • 5. 1. LODE-BD Recommendations -- Report on how to select appropriate encoding strategies for producing Linked Open Data (LOD)–Enabled Bibliographic Data http://aims.fao.org/lode/bd LODE-BD:可关联文献数据 (LODE-BD) 编码策略选择建议 Prepared by Imma Subirats Marcia Zeng
  • 6. Situation: There are many non-library repositories. 很多非图书馆仓储作为数据提供者或者服务提供者
  • 7. Questions from the data providers: To make local data into a Linked Data dataset --- What metadata standard(s) to follow? What is the minimal set of properties to include to insure meaningful data sharing? Is there any metadata model or application profile for my data? What data values to provide – plain text string or Unified Resource Identifier (URI)? How to encode our data in order to move from a local database to a Linked Data dataset? 为了将内部数据做成关联数据集,数据提供者面临众多 问题:元数据标准、最起码特征描述词汇、概念模型、 应用纲要、数据值类型、编码等等
  • 8. Analyzing various Data Dictionaries 各数据定义格式 & Sample Records &数据记录分析 Example: <Responsible Body>- related data fields
  • 9. Sorting out entities and relationships -- The conceptual model 实体对象和相关关系-概念模型 About… Resource Agent
  • 10. Clustering Properties into 9 chunks 将所有属性归纳到九个组 Once Once or many 0 or once 0 or many
  • 11. LODE-BD Groups LODE-BD九大组属性和关系 1. Title Information 2. Responsible Body 3. Physical Characteristics 4. Location 5. Subject 6. Description of content 7. Intellectual property 8. Usage 9. Relation between documents / agents http://aims.fao.org/fr/metadata/m2b M2B:推荐一套最起码的、有描述和交流意义的文献元数据的属性和编码词汇
  • 12. Walking through the LODE-BD decision trees, one by one. 18个决策流程图, 针对每个属性 (property)
  • 14. Implementation Options LODE-BD approach in m 可选择的实施方案 Alternative #1, "Design-time" strategy: go back and change your current ad-hoc model to use the LODE “good practices” model. = > This means some changes to your database and the services that access it. 方法#1,从根本上改变内部数据结构 -“设计时”策略 Alternative #2, "Run-time" strategy: you convert on the fly to a “good-practices” model upon request and leave your ad-hoc model unchanged. => This means adding a conversion service. 方法#2,只在需要输出时才转换成推荐格式 -“需要时”策略
  • 15. Data Output Options 数据输出选择方式:元数据记录/RDF描述 Records 记录 search & browse My data Metadata Repository RDF graphs RDF 描述 RDF graphs RDF描述 LOD
  • 16. 2. Connecting library data to the unfamiliar data and metadata resources in the LOD Universe -- The Metadata Vocabulary Junction Project 2。连接图书馆数据与外界开放关联数据资源 -元数据词汇枢纽站项目 National Leadership Grants support projects that address challenges faced by the museum, library, and/or archive fields and that have the potential to advance practice in those fields.
  • 17. 3865 datasets (as of July 3,2012) Project purpose: LOD is one of To connect library, archive, and museum the groups in (LAM) data to the unfamiliar datasets CKAN available in the Linked Data (LD) community’s CKAN Data Hub. 项目目的:连接图书馆、档案馆、博 物馆(LAM)数据与CKAN数据中心 的开放关联数据资源
  • 18. 例:音乐相关的 Example: Music-focused study 数据 (1) -- Data collection and analysis (1) LOD数据集: LOD Datasets: Identify music-related datasets Analyze the source of the data structures Ontologies used (e.g., Music Ontology, Similarity Ontology, Event Ontology, Programmes Ontology, etc.) Metadata schemas and application profiles (e.g., BBC Music Schema and derivatives) Structured data in XML/RDF samples Documentation Crosswalk their properties, indicating the matching level (e.g., broadMatch, equivelent, narrowMatch, etc.) Identify major classes and properties useful to library data 有哪些数据集?它们采用了什 (e.g., mo:MusicArtist, rev:Review, mo:Performance, 么样的本体、元数据表、数据 mo:performer, cc:license , dc:title, foaf:primaryTopic, etc.) 结构?产生匹配表。分析对图 书馆数据有用的实体类和属性。
  • 19. Example: Music-focused study 例:音乐相关的 -- Data collection and analysis (2) 数据 (2) 图书馆数据: LAM data from: 1. Library MARC sample records 图书馆马克记录 Classical/Instrumental Jazz Musical and Opera Pop/Rock Soundtrack 2. Their schema.org markup in Break down the 'records' and find: the WorldCat WorldCat记录的schema置标 • Common elements 常见元素 3. Digital collections' metadata • Possibility of linking to LOD structure properties 数字图书馆和数字特藏的元数 哪些相关节点可能与LOD属性词汇 据 联接 20 digital collections from national libraries, academic libraries, achieves • Major access points More types (e.g., sheet music) 主要获取途径 • Hidden access points 隐藏着的可获取途径
  • 20. Aligning Library data and LOD data constructs 将图书馆数据与LOD数据结果相比较、匹配 LAM data:图情档博数据: LOD Datasets: LOD数据集 Library bibliographic records 图书馆文献数据 Ontologies 本体 MARC records 马克记录 Metadata Application schema.org markup -schema置标 Digital collection metadata Profiles 元数据应用纲要 数字特藏/数字图书馆元数据 Structured data in XML/RDF Dublin Core-based 基于DC的 samples 样本数据格式 Other locally defined 其它本地格式 Archival descriptions 档案描述 Documentations 相关文献 EAD, MARC, other Museum and Visual Resources object descriptions 博物馆实物描述 VRA Core, other
  • 22. Conclusions 结语 The technological groundwork has already been laid for libraries and their users to benefit from Linked Data. 当前技术已经为图书馆及用户受益于关联数据奠定了基础 What we need now: 目前需要的是: the intellectual preparation to support the discovery and reuse of LOD datasets appropriately and effectively 精神上的准备:怎样合理有效发现和再利用 the practical tools to facilitate such activities. 实际可用的工具 What we can do: 我们可以做的事: Use existing library data as a bridge to enhance information and knowledge services within the libraries and beyond, thus to contribute to the building of a smart city. 以现有图书馆数据为桥梁来增强图书馆信息机构的信息与知识服务 机制,以此为共建智慧城市而做出贡献。
  • 23. The Three Hares 三兔图 589-618 AD (Sui dynasty) 隋代 (公园589-618) Cave 407, Mogao Caves, China 敦煌莫高窟第407窟藻井 UNESCO World Heritage Site UNESCO世界遗产名录 INSPIRING CONCEPTS: sharing; interoperability; linking
  • 24. Acknowledgement LODE-DB Co-author: Imma Subirats, FAO of the United Nation IMLS Leadership Grant Funding: Partially through Team: European Commission ICT PSP Co-P.I. Karen Gracy, Ph.D. Grant #250525 for VOA3R (Virtual Open Access Agriculture & Research Assistants Aquaculture Repository: Sharing Laurence Skirvin, M.L.S. Scientific and Scholarly Research Sammy Davidson, M.L.S. related to Agriculture, Food, and Shadi Shakeri Environment). Riley Stoermer, M.L.S. FAO AIMS team and expert http://lod-lam.slis.kent.edu/ http://aims.fao.org/lode/bd

Editor's Notes

  • #4: 发现、确认、选择、获得
  • #10: image credit: Data SourcesBy Jesus Torres | January 8th, 2010, http://www.business-intelligence-knowledge.com/business-intelligence-concepts/data-sources/
  • #11: image credit: Data SourcesBy Jesus Torres | January 8th, 2010, http://www.business-intelligence-knowledge.com/business-intelligence-concepts/data-sources/
  • #12: (arrow in orange)3. What metadata standards should be used for preparing LOD-ready metadata? LODE-BD has selected a number of well-accepted and widely-used metadata vocabularies and used their metadata terms in the recommendations. Like dc, dcterms, bibo, agmes…. New metadata standards can be added on the list in the future depending on the needs on the Linked Open Data Community.(arrow in green)4. What metadata terms are appropriate in any given property for publishing LOD-ready metadata based on a local database?  Metadata terms from the DCMES (dc:) and DCMI Metadata Terms (dcterms:) namespaces are the fundamentals in the LODE-BD Recommendations, while metadata terms from other namespaces are supplemented when additional needs are to be satisfied. LODE-BD has prepared a crosswalk table where all metadata terms used in the Recommendations are included. 
  • #13: image credit: Data SourcesBy Jesus Torres | January 8th, 2010, http://www.business-intelligence-knowledge.com/business-intelligence-concepts/data-sources/
  • #16: Image credit: #1, painting. Change Meditation. http://www.anvention.com/?q=changemeditationImage credit #2, Communication. http://vudat.msu.edu/teach/using-communication
  • #23: http://lod-lam.slis.kent.edu/
  • #25: DESCRIPTION: Three hares are chasing one another in an everlasting circle. They share between them only three ears which form a triangle in the center of the design, yet each animal has two ears.