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  1. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.44
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    Abstract
    On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
    Source
    Graph-Based Methods for Natural Language Processing - proceedings of the Thirteenth Workshop (TextGraphs-13): November 4, 2019, Hong Kong : EMNLP-IJCNLP 2019. Ed.: Dmitry Ustalov
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.43
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
    Source
    Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK
  3. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.36
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  4. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.36
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  5. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.35
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  6. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.35
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  7. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.32
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    Content
    Originally published July 1981 as Internal Report 81-2, Dept. of Neurobiology, Max-Planck-Institute for Biophysical Chemistry, 3400 Gottingen, W.-Germany.
    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  8. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.31
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  9. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.29
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    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
  10. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.26
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  11. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.26
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  12. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.24
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  13. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.22
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
  14. Beyersdorff, G.: Data processing applications in libraries in the Federal Republic of Germany (1990) 0.14
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  15. Münnich, M.: REUSE or rule harmonization : just a project? (2000) 0.10
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    Abstract
    German academic libraries acquire a large number of books from British and American publishers. The bibliographic records of the Library of Congress and the British National Bibliography are offered in most German library networks. Thus, projects REUSE and REUSE+ were undertaken when there was a demand for harmonization of Germany cataloging rules with AACR2 (Anglo-American Cataloguing Rules). Experts in the United States and Germany systematically analyzed bibliographic data and compared the codes on which the data were based. Major and minor differences in cataloging rules were identified. The REUSE group proposed German participation in international authority files and changes in RAK, the German cataloging rules. In REUSE+ the different types of hierarchical bibliographic structures in USMARC and MAB2 and other German formats were analyzed. The German project group made suggestions concerning both the German formats and the USMARC format. Steps toward rule alignment and harmonization of online requirements were made when the German Cataloging Rules Conference made decisions on resolutions prepared by the Working Groups on Descriptive Cataloging that dealt with titles, encoding of form titles and conference terms, prefixes in names, hierarchies, entries under persons and corporate bodies, and the conceptual basis of RAK2 in the context of harmonization. Although problems remain, German rule makers have made progress toward internationality.
    Date
    10. 9.2000 17:38:22
    Footnote
    Beitrag in einem Themenheft "What in the World...Cataloging on an International Scale": papers from the ALCTS preconference, June 26, 1998 "What in the World...Cataloging on an International Scale". ALCTS Preconference, Washington, D.C.
  16. Trugenberger, V.: Automatic data processing in archives : German experiences (1993) 0.08
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    Abstract
    Presents an overview of German historical archive automation processes, with particular reference to state archives. Points out the problems that arise in automatic data processing applications in relation to research instrument production and to archival description end users. In Germany, automation is mainly used in document descriptions and in finding aid preparation. In general, German archivists are only responsible for historical archives and have virtually no influence on office records management and its computer applications. Also comments on management procedure programs and on the automation of current archives
  17. Runge, S.: Some recent developments in subject cataloging in Germany (1941) 0.07
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  18. Ilhan, A.; Fietkiewicz, K.J.: Data privacy-related behavior and concerns of activity tracking technology users from Germany and the USA (2021) 0.07
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    Abstract
    Purpose This investigation aims to examine the differences and similarities between activity tracking technology users from two regions (the USA and Germany) in their intended privacy-related behavior. The focus lies on data handling after hypothetical discontinuance of use, data protection and privacy policy seeking, and privacy concerns. Design/methodology/approach The data was collected through an online survey in 2019. In order to identify significant differences between participants from Germany and the USA, the chi-squared test and the Mann-Whitney U test were applied. Findings The intensity of several privacy-related concerns was significantly different between the two groups. The majority of the participants did not inform themselves about the respective data privacy policies or terms and conditions before installing an activity tracking application. The majority of the German participants knew that they could request the deletion of all their collected data. In contrast, only 35% out of 68 participants from the US knew about this option. Research limitations/implications This study intends to raise awareness about managing the collected health and fitness data after stopping to use activity tracking technologies. Furthermore, to reduce privacy and security concerns, the involvement of the government, companies and users is necessary to handle and share data more considerably and in a sustainable way. Originality/value This study sheds light on users of activity tracking technologies from a broad perspective (here, participants from the USA and Germany). It incorporates not only concerns and the privacy paradox but (intended) user behavior, including seeking information on data protection and privacy policy and handling data after hypothetical discontinuance of use of the technology.
    Date
    20. 1.2015 18:30:22
  19. Studwell, W.E.; Hamilton, D.A.: Library of Congress Subject Heading period subdivisions for Eastern Europe excluding the Soviet Union : some proposed additions (1985) 0.07
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    Abstract
    Eastern Europe is a complex area for which there are not adequate Library of Congress subject heading period subdivisions. This article offers additional period subdivisions, with justifications, for all the countries and some regions of Eastern Europe, excluding the Soviet Union. Covered are: Europe, Eastern; Czechoslovakia (and three regions); Germany (East); Hungary; Poland; Galicia; Balkan Peninsula; Albania; Bulgaria; Romania; and Yugoslavia (and six regions).
    Date
    7. 1.2007 13:22:20
    Footnote
    Simultaneously published as Computer Software Cataloging: Techniques and Examples
    Source
    Cataloging and classification quarterly. 6(1985) no.1, S.39-60
  20. Wackerow, J.: ¬The Data Documentation Initiative (DDI) (2008) 0.07
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    Abstract
    The Data Documentation Initiative (DDI) is an international effort to establish an XML-based standard for the compilation, presentation, and exchange of documentation for datasets in the social and behavioral sciences. The most recent version 3.0 of the DDI supports a rich and structured set of metadata elements that not only fully informs a potential data analyst about a given dataset but also facilitates computer processing of the data. Moreover, data producers will find that by adopting the DDI standard they can produce better and more complete documentation as a natural step in designing and fielding computer-assisted interviewing. DDI 3.0 embraces the full life cycle of the data from conception, through development of the data collection instrument, collection and cleaning of data, production of data products, distribution, preservation, and reuse or analysis of the data. DDI 3.0 is designed to facilitate sharing schemes for concepts, questions, coding, and variables within organizations or throughout the social science research community. Comparison through direct inheritance as in the case of comparisonby- design or through the mapping of items like variables or categories allow capture of the harmonization processes used in creating integrated files in an uniform and machine-actionable way. DDI 3.0 is providing the structural support needed to facilitate comparative survey work in a way that was previously unavailable in an open, non-proprietary system. A specific DDI module allows for the capture and expression of native Dublin Core elements (DCMES), used either as references or as descriptions of a particular set of metadata. This module uses the simple Dublin Core namespace represented as XML Schema following the guidelines for implementing Dublin Core in XML. In DDI, the Dublin Core is not used as the primary citation mechanism - this module is included to support applications which understand the Dublin Core XML, but which do not understand DDI. This module is used wherever citations are permitted within DDI 3.0 (like citations of a study description or of other material). DDI 3.0 is aligned with other metadata standards as well: with SDMX (time-series data) for exchanging aggregate data, with ISO/IEC 11179 (metadata registry) for building data registries such as question, variable, and concept banks, and with FGDC and ISO 19115 (geographic standards) for supporting GIS users. DDI 3.0 is described in a conceptual model which is also expressed in the Universal Modeling Language (UML). Modular XML Schemas are derived from the conceptual model. Many elements support computer processing - that is, it will go beyond being "human readable", and move toward the goal of being "machine-actionable". The final release of DDI 3.0 has been published on April 28th 2008. The standard was developed by the DDI Alliance, an international group encompassing data archives and research institutions from several countries in Western Europe and North America. Earlier versions of DDI provide examples of institutions and applications: the Inter-university Consortium for Political and Social Research (ICPSR) Data Catalog, the Council of European Social Science Data Services (CESSDA) Data Portal, the Dataverse Network, the International Household Survey Network (IHSN), NESSTAR Software for publishing data on the Web and online analysis, and the Microdata Management Toolkit (by the World Bank Data Group for IHSN).
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

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