[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/. |