LOD技术在德国图书档案馆的应用

董杰

知识管理论坛 ›› 2017, Vol. 2 ›› Issue (6) : 492-499.

PDF(2355 KB)
PDF(2355 KB)
知识管理论坛 ›› 2017, Vol. 2 ›› Issue (6) : 492-499. DOI: 10.13266/j.issn.2095-5472.2017.053
学术探索

LOD技术在德国图书档案馆的应用

作者信息 +

Application of LOD Technology in German Libraries and Archives

Author information +
文章历史 +

摘要

[目的/意义] 关联开放数据(LOD)已广泛应用于很多产业、非营利性组织和政府。图书档案馆是LOD技术的早期使用者之一,这也促进了LOD技术的发展,德国是图书档案馆业非常发达的国家,有很多LOD应用于图书档案馆中的成功案例。[方法/过程] 采用文献调研、网络调查、内容分析法,分析LOD技术在德国图书档案馆中成功应用的案例。[结果/结论] 案例揭示了在计算机科学领域,如人工智能、数据库和图书档案馆研究课题之间的关系。总结了德国的实践经验,为我国发展相关的实践提供更多的参考。

Abstract

[Purpose/Significance] Linked Open Data (LOD) has been widely used in large industries, as well as non-profit organizations and government organizations. Libraries and archives are ones of the early adopters of LOD technology. Libraries and archives promote the development of LOD. Germany is one of the developed countries in the libraries and archives industry, and there are many successful cases about the application of LOD in the libraries and archives. [Method/Process] This paper analyzed the successful application of LOD technology in German libraries and archives by using the methods of document investigation, network survey and content analysis. [Result/Conclusion] These cases reveal in the traditional field of computer science the relationship among research topics related to libraries and archives such as artificial intelligence, database and knowledge discovery. Summing up the characteristics and experience of German practice can provide more reference value for the development of relevant practice in China.

关键词

关联开放数据 / LOD / 德国 / 图书馆 / 档案馆 / 应用

Key words

Linked Open Data / LOD / Germany / library / archives / application

引用本文

导出引用
董杰. LOD技术在德国图书档案馆的应用[J]. 知识管理论坛. 2017, 2(6): 492-499 https://doi.org/10.13266/j.issn.2095-5472.2017.053
Dong Jie. Application of LOD Technology in German Libraries and Archives[J]. Knowledge Management Forum. 2017, 2(6): 492-499 https://doi.org/10.13266/j.issn.2095-5472.2017.053
中图分类号: G250   

参考文献

[1]
王永丹. 德国公共图书馆服务初探[J]. 图书馆理论与实践, 2016(2): 8-11.
[2]
BERNERS-LEE T. Linked-data design issues. W3C design issue document[EB/OL]. [2017-01-20]. http://www.w3.org/DesignIssue/LinkedData.html.
[3]
夏立新, 谭荧. LOD的网络结构分析与可视化[J]. 现代图书情报技术, 2016(1): 65-72.
[4]
HEATH T, BIZER C. Linked data: evolving the web into a global data space[M]//Synthesis Lectures on the Semantic Web: theory and technology. San Rafael: Morgan and Claypool, 2011: 1-136.
[5]
LATIF A, SAEED A U, HO¨FLER P, et al. The linked data value chain: a lightweight model for business engineers[C]// 5th international conference on semantic systems. Graz: Graz Technical University Press, 2009: 568-575.
[6]
LATIF A, AFZAL M T, HELIC D, et al. Discovery and construction of authors’ profile from linked data (a case study for open digital journal) [C]//CEUR workshop proceedings. Raleigh: LDOW, 2010: 628.
[7]
LATIF A, AFZAL M T, HOFLER P, et al. Turning keywords into URIs: simplified user interfaces for exploring linked data[C]// Proceedings of the 2nd international conference on interaction sciences: information technology, culture and human. Seoul: Int. Conf. Interaction Sciences, 2009: 76–81.
[8]
LATIF A, BORST T, TOCHTERMANN K. Exposing data from an open access repository for economics as linked data[J]. D-Lib magazine, 2014, 20(9): 9-10.
[9]
HALPIN H, PRESUTTI V. An ontology of resources: solving the identity crisis[C]//European semantic Web conference. Heraklion: Lecture notes in computer science, 2009: 521–534.
[10]
NEUBERT J, TOCHTERMANN K. Linked library data: offering a backbone for the semantic web[C]// Third knowledge technology week. Kajang: CCIS, 2011: 37–45.
[11]
WICK M L, ROHANIMANESH K, SCHULTZ K, et al. A unified approach for schema matching, coreference and canonicalization[C]//Proceeding of the 14th ACM SIGKDD, international conference on knowledge discovery and data mining. New York: ACM, 2008: 722–730.
[12]
KONRATH M, GOTTRON T, STAAB S, et al. Schemex—efficient construction of a data catalogue by stream-based indexing of linked data[J]. Journal of Web semantics: preprint server, 2012(16): 52-58.
[13]
PETERS I, SCHERP A, TOCHTERMANN K. Science 2.0 and libraries: convergence of two sides of the same coin at ZBW Leibniz Information Centre for Economics[J]. IEEE STC social networking, 2015, 3(1): 149-157.
[14]
BOSCHEN F, SCHERP A. Multi-oriented text extraction from information graphics[C]// Symposium on document engineering (DocEng). Lausanne: ACM, 2015.
[15]
KASTEN A, SCHERP A, SCHAUB P. A framework for iterative signing of graph data on the web[C]// The semantic Web: trends and challenges proceedings. ESWC 2014. Lecture Notes in Computer Science. Anissaras: Springer, 2014: 146–160.
[16]
TUMMARELLO G, CYGANIAK R, CATASTA M, et al. Sig.ma: live views on the Web of data[J]. Web Semantics, 2010, 8(4): 355–364.

基金

国家自然科学基金“基于吸附机理及膜污染控制的吸附/膜法藻源型有机质去除的调控策略研究”(51408169)
哈尔滨商业大学博士科研启动项目(14LG15)
黑龙江省自然科学基金项目“基于多平面管理的黑龙江省高校人力资源管理模型及示范系统研究”(F201217)

编委: 王传清
PDF(2355 KB)

Accesses

Citation

Detail

段落导航
相关文章

/