web 2 0 at dc 2008
DESCRIPTION
Web 2.0 related topics during DC-2008TRANSCRIPT
[email protected]@gmail.com
Lib2.08 上海
• 4 个主旨报告• 5 场大会论文报告 (12 篇 )• 3 场项目报告 (8 个项目 )• 1 场特别会议 (Wiki 与元数据 )• 12 篇 posters( 集中交流展示 )• 17 个工作组会议 ( 分会场 )• 正式会议: 4 个整天• 内部工作会议 (3 个委员会 ) : 3 天
• 312 名注册代表 ( 包括 28 名学生 ) • 来自 39 个国家和地区:– Australia, Austria, Belgium, Brunei, Canada, China, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Iran, Ireland, Israel, Italy, Japan, Korea, Latvia, Luxembourg, Netherlands, New Zealand, Norway, Poland, Portugal, Qatar, Romania, Serbia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Taiwan, United Arab Emirates, UnitedKingdom, United States
• Semantic Web (Web 3.0)• Social Tagging ( 包括 Folksonomy, 涉及 KOS)• Wikipedia• Linked Data• Microformat
http://dc2008.de/wp-content/uploads/2008/09/dcmi20080925-miller.pdf
• Web 在进化,Web 2.0之后将是Semantic Web• 图书馆的每一条记录、每一条记录中的每一个数据都应该成
为Linked Data• 成为Linked Data的关键在于每一条有意义的数据都有HTTP
like URI(数据可寻址、可访问)• “Linked Open Data is the Web done as it should be.”(TBL)• e.g. : http://lcsh.info/• MARC 的语义化:Semantic MARC(RDF表达)• 结论:图书馆应该作为SW的重要组成部分:
o 促进数据仓储之间的沟通和联系Facilitates connections between data silos
o 释放精心维护的数据的潜在价值Unlocks value within expensively maintained data
o 促使不同社区的经验得以互通Enables navigation through community-contributed enrichments
• 德语的tutorial:Tutorial 4: Einführung in Social Tagging/Computing - Johannes Hercher Slides (PDF)
• J. Trant 的主题演讲: Social Tagging Museums:Research and Reflections
• 三篇大会报告:o Relating Folksonomies with Dublin Core - Maria
Elisabete Catarino, Ana Alice Baptista Slides (PDF)
o Hak Lae Kim 的The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies
o 秦健等的Semantic Extraction from Socially Generated Tags
• 一个工作组会议: Workshop 4 Tagging - Liddy Nevile ( External Web Link) Slides (PDF)
• 社会性网络产生的背景:基于平台的普遍交互;• 社会性软件:博客、播客、维基、社区平台、各类2.0应用;
• 社会性标引/标签:tag,tagging,tagger,tagcloud, folksonomy...;
• 民俗分类法与规范词表;• 各种 Mashup都是社会性网络的体现。
• 通过观察人们查找博物馆馆藏的习惯,发现专业人员的标引往往只能被专业人员所使用,假设:tagging应该能更好地解决普通大众对于艺术品馆藏的揭示问题。
• 通过实验论证假设。• 通过实验同时发现了很多问题:
o 用户 -标签-作品:不同用户对于同样的作品赋予标签的差异性和离散规律?
o 标签词表(folksonomy)与专业人员标引词表的对应关系?
• 结论:o 85%+ Tags Are Not Found in Museum
Documentation60%+ Don’t Match VocabulariesMost Tags Can’t Be Mined From Other SourcesSome Tags Are Found in Search Terms
• 一篇博士论文• 试图把 tag用 DC的元素进行规范• 发现:
o 标签所指对象常常十分模糊o 标签可能并非对象的属性,而是反映主客体关系o 大多数可以用简单 DC概括,但也有超出 DC的属性词
• 讨论了对于DC的扩展用以涵盖 tag
• tag 成了 2.0的一个属性 (see: next page)• 定义了三个核心概念:
o Tag: a word or phrase that is recognisable by people and computers
o Resource: a thing to be tagged, identifiable by a URI or a similar naming service
o Tagger: someone/thing doing the tagging, e.g. user of an application
• Tagging := (user, tag, resource) • Folksonomy := (Tag Set, User Group, Source, Tagging,
Occurrences)• 在这个框架下,比较了现有的一些研究 tag的
ontology的功能、异同等
• Existing Tag Ontologies do not represent Collaborative Tagging well enough on their own.
• SCOT + MOAT + additional vocabularies (SIOC, FOAF, DC, etc.) provide sufficient representation for Collaborative Tagging & Folksonomies
• Thus, Tag Ontologies provide the possibility for machine-processable representations that can be shared across social tagging systems.
• 从社会性网站的 tag中提取语义,通过tag的共同出现情况,对于资源进行自动语义提取
• 演示了两个 ppt: o How does kids tag? http://www.slideshare.net/andresmh/how-do-
kids-tag-presentationo Tagging Australian education some developments at education.au
• 学术上虽无新意,但是很实用
• Seminar A: User Generated Metadata (organised by Wikimedia) - Karen Coyle, Jochen Topf, Andreas Hotho Slides (PDF)
• Special Session: Wikis and Metadata1. Facilitating Wiki/Repository Communication with Metadata -
Laura M. Bartolo, Cathy S. Lowe, Robert J. Tandy Slides (PDF)2. Aratta: A Web-based Research Tool for Collaborative Research
on Iranian Architectural History - Emad Khazraee, Hamed Malek, Omid Shams Slides (PDF)
3. Wikipedia as Controlled Vocabulary - Silver Oliver, Chris Sizemore Slides (PDF)
• www.openstreetmap.org :地图标注• www.bibsonomy.org :书签(网摘 )共享服务• DBpedia• Openlibrary•
• Facilitating Wiki/Repository Communication with Metadata :应用MediaWiki做机构库(结合 FEDORA),并采用了DC作为元数据的尝试
• Aratta: A Web-based Research Tool for Collaborative Research on Iranian Architectural History:伊朗历史建筑数字图书馆的案例,采用Semantic Wiki插件,并应用了DC元数据
• Wikipedia as Controlled Vocabulary : BBC采用DBpedia规范词表的实践
LCSH, SKOS and Linked Data - Ed Summers, Antoine Isaac, Clay Redding, Dan Krech Slides (PDF)
• Tutorial 2: Einführung in Semantic Web - Tina Matzat Slides (PDF)
• Project Report Session 1: Toward the Semantic Web
1. DCMF: Dublin Core and Microformats, a good marriage - Eva Méndez, Leandro M. López, Arnau Siches, A. G. Bravo Slides (PDF)
2. Making a Library Catalogue Part of the Semantic Web - Martin Malmsten Slides (PDF)
• 更好的 RSS聚合服务; • 含标签的网摘服务;
• Librarything ;• Open Library ; • SocialOPAC ;
• 术语百科;
• 2.0门户?