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链接数据对于帮助图书馆参与基于网络的世界很重要,并为资源,人员和其他概念之间的丰富描述和关系提供机会,以主要搜索引擎可以识别的格式发布结构化数据。Proquest通过将链接的数据服务平台集成到INTOTA架构中,对元数据景观中的这些变化做出了回应。该解决方案正在开发以支持链接的数据,从而为库提供了一个可以策划和发布资源元数据的地方,该元数据将集成到较大的Web生态系统中。
在当今的相互联系的世界中,用户期望图书馆不仅有效地管理资源,而且可以更有效地连接资源,从而有助于改善知识的访问。基于特定于行业的MAC标准的当前图书馆管理系统使得实现这些目标的挑战。Not only is our data “locked up” in proprietary systems, in a format that doesn’t interoperate with broader Web protocols and standards, but the data is encoded in a string-based record-centric model that limits the richness that can be realized by making connections between resources, people, places, and concepts. As a result, libraries are unable to meet users where they are – on the open Web – and to support more effective models for knowledge exploration and acquisition.
Linked data is what will enable these libraries to participate in the Web-based world and contribute data that can be used to link related documents and data on the web. “Linked Data” refers to a set of best practices for publishing and connecting structured data. Its supporting technologies include URIs to enable identification of generic concepts, HTTP to allow universal retrieval of resources and descriptions and RDF, which is a generic graph-based data model with which to structure and link data that describes things in the world.
Libraries are realizing that linked data provides opportunities for enriched description and relationships between resources, people and other concepts. They’re also realizing that these opportunities—and the improved user experience that they offer based on navigation through the web of related information—are not optional in a society that relies on search engines like Google to extract and present meaningful information at users’ points of inquiry.
在图书馆中采用链接数据遵循信息界的关键融合 - 2011年Scema.org的介绍,Google,Microsoft Bing和Yahoo!之间的联合联盟是共同的联盟。使Web设计人员能够在其HTML页面中包含信息,以标识实体之间的实体和关系。OCLC高级研究科学家Carol Jean Godby指出,Schema.org是在没有图书馆的情况下建造的事实,这是图书馆世界的催化剂。schema.org引起了人们对库将MARC数据转换为链接数据的需求。yobet手机appAs a result, several library initiatives, including the Library of Congress’ BIBFRAME project and Linked Data for Libraries (LD4L), are actively exploring and implementing solutions that leverage linked data to create new bibliographic environments for libraries that makes the “network” central and interconnectedness commonplace. The Library of Congress, OCLC and other major bibliographic providers have announced that they will begin making linked data available as early as 2015.
Descriptive processes in libraries will change dramatically with the introduction of linked data. ProQuest’s decision to make linked data foundational in Intota assures libraries that we will be able to evolve along with you.
[1] Heath,T。(n.d。)链接数据:在网络上连接分布式数据。取自http://linkeddata.org/faq
[2] Godby,C.J。(2013)。Bibframe和OCLC的书目描述的链接数据模型之间的关系:工作论文。从...获得http://www.oclc.org/content/dam/research/publications/library/2013/2013-05.pdf

链接数据对于帮助图书馆参与基于网络的世界很重要,并为资源,人员和其他概念之间的丰富描述和关系提供机会,以主要搜索引擎可以识别的格式发布结构化数据。Proquest通过将链接的数据服务平台集成到INTOTA架构中,对元数据景观中的这些变化做出了回应。该解决方案正在开发以支持链接的数据,从而为库提供了一个可以策划和发布资源元数据的地方,该元数据将集成到较大的Web生态系统中。

在当今的相互联系的世界中,用户期望图书馆不仅有效地管理资源,而且可以更有效地连接资源,从而有助于改善知识的访问。基于特定于行业的MAC标准的当前图书馆管理系统使得实现这些目标的挑战。Not only is our data “locked up” in proprietary systems, in a format that doesn’t interoperate with broader Web protocols and standards, but the data is encoded in a string-based record-centric model that limits the richness that can be realized by making connections between resources, people, places, and concepts. As a result, libraries are unable to meet users where they are – on the open Web – and to support more effective models for knowledge exploration and acquisition.

Linked data is what will enable these libraries to participate in the Web-based world and contribute data that can be used to link related documents and data on the web. “Linked Data” refers to a set of best practices for publishing and connecting structured data. Its supporting technologies include URIs to enable identification of generic concepts, HTTP to allow universal retrieval of resources and descriptions and RDF, which is a generic graph-based data model with which to structure and link data that describes things in the world.1

Libraries are realizing that linked data provides opportunities for enriched description and relationships between resources, people and other concepts. They’re also realizing that these opportunities—and the improved user experience that they offer based on navigation through the web of related information—are not optional in a society that relies on search engines like Google to extract and present meaningful information at users’ points of inquiry.

Adoption of linked data in libraries follows a critical convergence in the information world – the 2011 introduction of schema.org, a joint alliance between Google, Microsoft Bing and Yahoo! to enable web designers to include information in their HTML pages that identifies entities and relationships among entities. OCLC Senior Research Scientist Carol Jean Godby pointed out that the fact that schema.org was built without libraries in mind acted as a catalyst for the library world. Schema.org drew attention to the need for libraries to translate MARC data into linked data.2As a result, several library initiatives, including the Library of Congress’ BIBFRAME project and Linked Data for Libraries (LD4L), are actively exploring and implementing solutions that leverage linked data to create new bibliographic environments for libraries that makes the “network” central and interconnectedness commonplace. The Library of Congress, OCLC and other major bibliographic providers have announced that they will begin making linked data available as early as 2015.

Descriptive processes in libraries will change dramatically with the introduction of linked data. ProQuest’s decision to make linked data foundational in Intota assures libraries that we will be able to evolve along with you.

[1] Heath,T。(n.d。)链接数据:在网络上连接分布式数据。从...获得http://linkeddata.org/faq

[2] Godby,C.J。(2013)。Bibframe和OCLC的书目描述的链接数据模型之间的关系:工作论文。从...获得http://www.oclc.org/content/dam/research/publications/library/2013/2013-05.pdf

2015年5月29日

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