图书情报工作

图书情报工作 >

2017 , Vol. 61 >Issue 6: 122 - 133

DOI: https://doi.org/10.13266/j.issn.0252-3116.2017.06.019

知识组织

国内外开放学术资源整合研究现状述评与比较

  • 赵华茗 ,
  • 钱力 ,
  • 谢靖
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  • 中国科学院文献情报中心 北京 100190
赵华茗(ORCID:0000-0002-8829-9208),副研究馆员,E-mail:zhaohm@mail.las.ac.cn;钱力(ORCID:0000-0002-0931-2882),副研究馆员;谢靖(ORCID:0000-0001-6698-1786),馆员。

收稿日期: 2016-12-13

  修回日期: 2017-03-04

  网络出版日期: 2017-03-20

基金资助

本文系国家社会科学基金项目"基于开放获取学术期刊的资源深度整合与揭示研究"（项目编号：16BTQ025）研究成果之一。

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Review and Comparison of the Research Status of Open Access Academic Resources Integration at Home and Abroad

  • Zhao Huaming ,
  • Qian Li ,
  • Xie Jing
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  • National Science Library of Chinese Academy of Sciences, Beijing 100190

Received date: 2016-12-13

  Revised date: 2017-03-04

  Online published: 2017-03-20

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摘要

[目的/意义] 为开展开放学术资源整合服务建设提供参考与借鉴。[方法/过程] 分别对国内外开放学术资源整合方面的研究现状进行了梳理和总结，认为国内的研究成果主要集中在开放学术资源整合构建的理论、技术方法与工具、资源再利用和版权政策研究等方面，国外则对开放学术资源整合的概念认识、框架和结构、开放学术资源整合中运用的技术方法以及在不同领域的应用等方面进行了深入的研究。[结果/结论] 通过对国内外研究成果的比较分析，得出国内外开放学术资源整合研究的共同点在于研究关注点、研究方法以及实践应用的研究，区别在于研究主体、研究视角和研究深度。

关键词： 开放获取; 学术资源; 资源整合

本文引用格式

赵华茗 , 钱力 , 谢靖 . 国内外开放学术资源整合研究现状述评与比较[J]. 图书情报工作, 2017 , 61(6) : 122 -133 . DOI: 10.13266/j.issn.0252-3116.2017.06.019

Abstract

[Purpose/significance] This paper aims at providing suggestions and advice for libraries to develop open access systems and integrate open access academic resources.[Method/process] In this paper, the domestic and foreign research status of the integration of open access academic resources were arranged and summarized, and then we found that the domestic research mainly focused on the theory, techniques, policies, resources recycling and copyright issues. More in-depth studies of the concept of the integration of open access academic resources, techniques and methods, the framework, the structure and application in different areas were the main achievements of the foreign research.[Result/conclusion] By comparing and analyzing the research achievements at home and aboard, it is found that the common ground of the study of open access academic resources in the domestic and foreign research is the focus, methods, and applications. The difference lies in the research subject, perspective and depth.

Key words： open access; academic resource; resources integration

参考文献

[1] 黄金霞,张建勇,黄永文,等. 开放资源建设的措施及工作策略[J].图书情报工作,2013,57(8):57-61.
[2] MICHENER W K. Ecological data sharing[J]. Ecological informatics, 2015, 29:33-44.
[3] 范亚芳,高中华. 开放存取资源整合服务模式研究[J].情报理论与实践,2009,32(1):66-69.
[4] 肖冬梅. 开放存取资源整合及集成服务平台分析[J].高校图书馆工作,2008,28(2):27-29,37.
[5] 张辉,张玉祥,吴瑞丽. 国内开放获取资源整合及集成平台的比较分析[J].情报杂志,2011,30(10):168-173.
[6] 赵功群. 开放存取学术资源分布及图书馆整合利用——以DOAJ为例[J].图书馆学刊,2011,33(1):42-44.
[7] 沈敏,魏群义,杨新涯,等. 面向高校用户的开放获取学术期刊发展策略及整合平台研究[J]. 大学图书馆学报,2015,33(5):39-43.
[8] 朱本军,龙世彤,肖珑,等. 图书开放获取模式及整合利用研究[J].大学图书馆学报,2015,33(5):26-31.
[9] YUAN Y, WU Y, FENG X, et al. VDB-MR:MapReduce-based distributed data integration using virtual database[J]. Future generation computer systems, 2010, 26(8):1418-1425.
[10] 邱燕燕. 开放存取资源的组织和揭示[J].图书馆杂志,2006,25(6):20-22.
[11] 黄永文,张建勇,谢靖等. 开放资源的再利用模式研究[J].图书情报工作,2013,57(21):32-37.
[12] 苑世芬. 国家科技报告制度与高校开放获取政策的整合策略[J].图书馆学研究,2015(24):32-36,81.
[13] 邓君,毕强,宋文凤. 国内开放存取资源在线集成服务理论进展[J].情报科学,2012(7):1103-1108.
[14] 王洪军,刘明,李焱,等.基于元数据仓储与动态链接的图书馆资源整合系统的整合与实现[J].中华医学图书情报杂志,2011,20(10):65-67.
[15] 路莹. 图书馆资源整合新技术——探索发现系统[J].中华医学图书情报杂志,2013,22(5):28-31.
[16] 张立新. 开放获取资源的知识整合研究[D].长春:东北师范大学,2010.
[17] 卢晓何,张立新. 开放获取资源知识整合平台构建研究[J].情报科学,2011(2):253-257.
[18] 高俊峰. 基于形式概念分析的开放存取资源组织方法研究[D].长春:吉林大学,2011.
[19] 崔宇红,张奎.基于的开放获取搜索引擎构建研究[J].现代图书情报技术,2010,26(10):82-86.
[20] 何琳,张振贵,黄水清.基于Lucene的OA资源全文检索系统的设计与实现[J].现代图书情报技术,2009(11):41-48.
[21] 王东艳,崔丹.基于开放获取模式探析[J].图书馆学研究,2007(11):82-84.
[22] WANG Z, LI J, ZHAO Y, et al. A unified approach to matching semantic data on the Web[J]. Knowledge-based systems, 2013, 39(2):173-184.
[23] 赵蕾霞,钟永恒. 国外开放获取工具的发展及趋势研究[J].图书馆学研究,2014(23):42-46,62.
[24] LI Y, WANG Y, JIANG P, et al. Multi-objective optimization integration of query interfaces for the deep Web based on attribute constraints[J]. Data & knowledge engineering, 2013, 86(5):38-60.
[25] HUANG Q, LI Q, LI H, et al. An approach to incremental deep Web crawling based on incremental harvest model[J]. Procedia engineering,2012,29(4):1081-1087.
[26] DONG Y, LI Q, DING Y, et al. ETTA-IM:a deep Web query interface matching approach based on evidence theory and task assignment[J]. Pattern recognition & artificial intelligence, 2011,38(8):10218-10228.
[27] HONG J, HE Z, BELL D A. An evidential approach to query interface matching on the deep Web[J]. Information systems, 2010,35(2):140-148.
[28] 郝兴伟. 基于学科知识本体的网络开放课程建设研究[J].中国大学教学,2013(9):45-49.
[29] 田甜. 开放教育教学资源的整合与共享研究[J].中国成人教育,2013(3):162-164.
[30] 汪晓东,张立春. 开放课程资源与社交学习的整合——Openstudy的启示[J].现代教育技术,2011(7):10-14.
[31] 沈秀琼. 面向MOOC的大学图书馆资源建设策略探讨[J].图书情报工作,2014,58(22):33-37.
[32] 尹岭,陈广飞,蒋艳峰,等. 临床数据资源整合与利用[J].中国数字医学,2010(11):91-92,97.
[33] 杨峰. 面向企业技术创新的开放存取资源利用模式研究[J].情报资料工作,2014,35(1):67-70.
[34] 章岑,刘静羽,黄金霞. 开放获取期刊集成服务权益问题研究[J].图书情报工作,2016,60(10):33-39,94.
[35] 郝瑞芳. 大学图书馆版权管理和版权服务的新视点——关于MOOC[J].图书馆工作与研究,2015(4):46-50.
[36] 李秋实,宋仁君,张雅男,等. 国际开放获取学位论文资源的整合利用研究[J].大学图书馆学报,2015,33(5):44-49.
[37] MAYNARD C M. Accessing the environment:delivering ecological and societal benefits through knowledge integration-the case of water management[J]. Applied geography, 2015,58:94-104.
[38] BARROS H, COSTA E, MAGALH, et al. Integrating educational repositories to improve the reuse of learning objects[C]//Proceedings of the 30th annual ACM symposium on applied computing. New York:ACM,2015:270-272.
[39] BUCCELLA A, CECHICH A, BRISABOA N R. An ontology approach to data integration[J] Journal of computer science & technology, 2003,3(2):16-18.
[40] CUI Z, O'BRIEN P. Domain ontology management environment[C]//Proceedings of 33rd annual Hawaii international conference on system sciences. Washington, DC:IEEE computer society,2000:8015.
[41] TRAN T, WANG H, HAASE P. Hermes:data Web search on a pay-as-you-go integration infrastructure[J]. Web semantics science services & agents on the World Wide Web,2009,7(3):189-203.
[42] KRAUTH C, KUCHINKE W, ECKERT M, et al. Clinical trial information mediator[J]. Journal of biomedical informatics, 2016,63:157-168.
[43] CORDEIRO K D F, CAMPOS M L M, BORGES M R S. aDApTA:adaptive approach to information integration in dynamic environments[J]. Computers in industry, 2015, 71:88-102.
[44] CHENG N. How scientific searth engine Scirus works[J]. Information science, 2006, 24(2):287-286.
[45] ORTEGA J L. Academic search engines[M]. Oxford:Chandos Publishing, 2014:183-192.
[46] BRUNO I, MCEWEN L, HICKS M G, et al. Open science and the chemistry lab of the future[EB/OL].[2017-04-05].http://www.beilstein-institut. de/en/symposia/open-science.
[47] Cornell University. arXiv[EB/OL].[2017-04-05]. http://arxiv.org/.
[48] CALVANESE D, LIUZZO P, MOSCA A, et al. Ontology-based data integration in EPNet:production and distribution of food during the Roman Empire[J]. Engineering applications of artificial intelligence,2016,51:212-229.
[49] SINACI A A, LALECI ERTURKMEN G B. A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains[J]. Journal of biomedical informatics, 2013,46(5):784-794.
[50] LALECI G B, YUKSEL M, DOGAC A. Providing semantic interoperability between clinical care and clinical research domains[J]. IEEE journal of biomedical and health informatics, 2013,17(2):356-369.
[51] WEBER G M, MURPHY S N, MCMURRY A J, et al. The shared health research information network (SHRINE):a prototype federated query tool for clinical data repositories[J]. Journal of the American Medical Informatics Association, 2009, 16(5):624-630.
[52] FADLY A N E, RANCE B, LUCAS N, et al. Integrating clinical research with the healthcare enterprise:from the RE-USE project to the EHR4CR platform[J]. Journal of biomedical informatics, 2011, 44(S1):S94-S102.
[53] KUNZ I, LIN M C, FREY L. Metadata mapping and reuse in caBIGTM[J]. BMC bioinformatics, 2009, 10(S2):S4.
[54] PATHAK J, WANG J, KASHYAP S, et al. Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies:the eMERGE network experience[J]. Journal of the American Medical Informatics Association, 2011,18(4):376-386.
[55] SHARIATZADEH N, GURDUR D, EL-KHOURY J, et al. Using linked data with information standards for interoperability in production engineering[J]. Procedia cirp, 2016,41:502-507.
[56] SHARIATZADEH N, LUNDHOLM T, LINDBERG L, et al. Integration of digital factory with smart factory based on internet of things[J].Procedia CIRP,2016,50:512-517.
[57] ELLOUZE A S, BOUAZIZ R, GHORBEL H. Integrating semantic dimension into openEHR archetypes for the management of cerebral palsy electronic medical records[J]. Journal of biomedical informatics,2016,63:307-324.
[58] JIMENEZ P, CORCHUELO R. On learning Web information extraction rules with TANGO[J]. Information systems, 2016,62:74-103.
[59] AMATO F, PIETRO G D, ESPOSIT M, et al. An integrated framework for securing semi-structured health records[J]. Knowledge-based systems, 2015, 79(C):99-117.
[60] DE A JÚNIOR J G, SCHIEL U, MARINHO L B, et al. An approach for building lexical-semantic resources based on heterogeneous information sources[C]//SAC 2015 the ACM/SIGAPP symposium on applied computing. New York:ACM,2015:402-408.
[61] ALOBAIDI M, MAHMOOD K, SABRA S. Semantic enrichment for local search engine using linked open data[C]//Proceedings of the 25th international conference companion on World Wide Web. Republic and Canton of Geneva:International World Wide Web Conferences Steering Committee,2016:631-634.
[62] SIGNER B, NORRIE M C. A model and architecture for open cross-media annotation and link services[J]. Information systems, 2011,36(3):538-550.
[63] SAHOO S S, RAMESH P, WELTER E, et al. Insight:an ontology-based integrated database and analysis platform for epilepsy self-management research[J]. International journal of medical informatics, 2016,94:21-30.
[64] CHENG G, GE W, QU Y. Falcons:searching and browsing entities on the semantic web[C]//Proceedings of the 17th international conference on World Wide Web. New York:ACM,2008:1101-1102.
[65] D'AQUIN M, BALDASSARR C, GRIDINOC L, et al. Characterizing knowledge on the semantic Web with Watson[EB/OL].[2017-04-05]. https://www.mendeley.com/research-papers/characterizing-knowledge-semantic-web-watson.
[66] DING L, FININ T. Boosting semantic Web data access using Swoogle[C]//Proceedings of the 20th national conference on artificial intelligence. Menlo Park:AAAI press, 2005:1604-1605.
[67] BELLEAU F, NOLIN M A, TOURIGNY N, et al. Bio2RDF:towards a mashup to build bioinformatics knowledge systems[J]. Journal of biomedical informatics, 2008, 41(5):706-716.
[68] QUILITZ B, LESER U. Querying distributed RDF data sources with SPARQL[C]//Proceedings of the 5th European semantic Web conference on the semantic Web:research and applications. Heidelberg:Springer-Verlag Berlin, 2008:524-538.
[69] RIZZO G, TRONCY R. NERD:a framework for unifying named entity recognition and disambiguation extraction tools[C]//Proceedings of the demonstrations at the 13th conference of the European Chapter of the Association for Computational Linguistics. Stroudsburg:Association for Computational Linguistics, 2012:73-76.
[70] FRANKE J, WIDERA A, CHAROY F, et al. Reference process models and systems for inter-organizational ad-hoc coordination-supply chain management in humanitarian operations[EB/OL].[2017-04-05].https://hal.inria.fr/inria-00593290.
[71] GRAUBE M, PFEFFER J, ZIEGLER J, et al. Linked data as integrating technology for industrial data[C]//201316th international conference on network-based information systems. Washington, DC:IEEE Computer Society, 2011:162-167.
[72] GRUBIC T, FAN I S. Supply chain ontology:review, analysis and synthesis[J]. Computers in industry, 2010, 61(8):776-786.
[73] VERSTICHEL S, ONGENAE F, LOEVE L, et al. Efficient data integration in the railway domain through an ontology-based methodology[J]. Transportation research part C, 2011,19(4):617-643.
[74] DESTEFANO R J. Improving enterprise data governance through ontology and linked data[D].New York:Dissertation Abstracts International,2016.
[75] SAINT-DIZIER P, MOENS M F. Knowledge and reasoning for question answering:research perspectives[J]. Information processing & management,2011, 47(6):899-906.
[76] GUIDRY A F. Ontology-based data integration of open source electronic medical record and data capture systems[D]. Washington, DC:Dissertation Abstracts International,2013.
[77] EL-SAPPAGH S H, EL-MASRI S. A distributed clinical decision support system architecture[J]. Journal of King Saud University-computer and Information Sciences, 2013,26(1):69-78.
[78] JACOME A G, FDEZ-RIVEROLA F, LOURENCO A. BIOMedical search engine framework:lightweight and customized implementation of domain-specific biomedical search engines[J]. Computer methods & programs in biomedicine, 2016,131:63-77.
[79] KATSILA T, SPYROULIAS G A, PATRINOS G P, et al. Computational approaches in target identification and drug discovery[J]. Computational & structural biotechnology journal, 2016,14:177-184.
[80] KEβLER C, FARMER C J Q. Querying and integrating spatial-temporal information on the Web of data via time geography[J]. Journal of Web semantics, 2015, 35(1):25-34.
[81] TOMAS R, CANO M, SANTAMARTA J C, et al. New approaches for teaching soil and rock mechanics using information and communication technologies[J]. Procedia-social and behavioral sciences,2015,191:1644-1649.
[82] GIANNADAKIS N, ROWE A, GHANEM M, et al. InfoGrid:providing information integration for knowledge discovery[J]. Information sciences, 2003, 155(3/4):199-226.
[83] KONTOPOULOS E, MARTINOPOULOS G, LAZAROU D, et al. An ontology-based decision support tool for optimizing domestic solar hot water system selection[J]. Journal of cleaner production, 2016,112(5):4636-4646.
[84] KINAL J, RYKIEL Z. Open access as a factor of enhancing of the global information flow[J]. Procedia-social and behavioral sciences, 2013, 83(3):156-160.
[85] LISTED N. The Lancet journals welcome a new open access policy[J]. Lancet, 2013, 381(9873):1166-1167.
[86] DAWYNDT P, DEDEURWAERDERE T, SWINGS J. Contributions of bioinformatics and intellectual property rights in sharing biological information[J]. International social science journal, 2006,58(188):249-258.
[87] MILLE P, STYLES R, HEATH T. Open Data Commons,a license for open data[EB/OL].[2017-04-05]. http://events.linkeddata.org/ldow2008/papers/08-miller-styles-open-data-commons.pdf.
[88] Creative Commons Corporation. Creative Commons[EB/OL].[2017-04-05]. http://www.creativecommons.org.
[89] Free Software Foundation, Inc. GNU free documentation license[EB/OL].[2017-04-05]. http://www.gnu.org/licenses/fdl-1.3.html.
[90] WILEY D. Open publication license[EB/OL].[2017-04-05]. http://www.opencontent.org/openpub.
[91] Apple Computer, Inc. Common documentation license[EB/OL].[2017-04-05].http://everything2.com/title/Common+documentation+License.
[92] Open Data Commons. ODC public domain dedication and licence[EB/OL].[2017-04-05].https://opendatacommons.org/licenses/pddl/1.0.
[93] Open Data Commons. ODC attribution-sharealike community norms[EB/OL].[2017-04-05].https://opendatacommons.org/norms/odc-by-sa..
[94] KOULOURIS A, KYSIAKI-MANESSI D, GIANNAKOPOULOS G, et al. Institutional repository policies:best practices for encouraging self-archiving[J]. Procedia-social and behavioral sciences,2013,73:769-776.
[95] Open Knowledge. Place overview[EB/OL].[2017-04-05].http://index.okfn.org/place/.
[96] DING L, PERISTERAS V, HAUSENBLAS M. Linked open government data[J]. IEEE intelligent systems,2012,27(3):11-15.
[97] SCHMACHTENBERG M, BIZER C, PAULHEIM H. State of the LOD cloud 2014[EB/OL].[2017-04-05].http://lod-cloud.net/state/state_2014/.

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