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  • × year_i:[2010 TO 2020}
  1. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.13 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  2. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.09 
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    Classification
    OKH (FH K)
    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
    GHBS
    OKH (FH K)
  3. 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) 0.08 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  4. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.06 
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    Date
    20. 1.2015 18:30:22
  5. HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.06 
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    Date
    1. 2.2016 18:25:22
  6. Zhou, Y. et al.: Analysing entity context in multilingual Wikipedia to support entity-centric retrieval applications (2016) 0.06 
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    Date
    1. 2.2016 18:25:22
  7. Deisseroth, K.: Lichtschalter im Gehirn (2011) 0.05 
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    Source
    Spektrum der Wissenschaft. 2011, H.2, S.22-29
  8. Ceynowa, K.: Research Library Reloaded? : Überlegungen zur Zukunft der geisteswissenschaftlichen Forschungsbibliothek (2018) 0.05 
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    Date
    1. 2.2019 12:50:22
  9. Balog, K.; Schuth, A.; Dekker, P.; Tavakolpoursaleh, N.; Schaer, P.; Chuang, P.-Y.: Overview of the TREC 2016 Open Search track Academic Search Edition (2016) 0.05 
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  10. Song, J.; Huang, Y.; Qi, X.; Li, Y.; Li, F.; Fu, K.; Huang, T.: Discovering hierarchical topic evolution in time-stamped documents (2016) 0.04 
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  11. Kurata, K.; Ishita, E.; Miyata, Y.; Minami, Y.: Print or digital? : reading behavior and preferences in Japan (2017) 0.04 
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  12. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.04 
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  13. Wissen - Wissenschaft - Organisation : Proceedings der 12. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Bonn, 19. bis 21. Oktober 2009 (2013) 0.04 
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    Classification
    BAB (FH K)
    Content
    Inhalt: H. P. Ohly: Wissen - Wissenschaft - Organisation. Eine Einführung 1. Grundlagen der Wissensorganisation G. Rahmstorf: Philosophie als grundlegende Erkenntnis-Wissenschaft K. Weber: Informationsnachhaltigkeit. Vom schwierigen Umgang mit Informationsgütern - H. P. Ohly: Wissens- und informationssoziologische Aspekte der Wissensorganisation - U. Adler Feministische Wissenschaftsorganisation 2. Wissenskonzepte H. Cap: Erkennen durch künstliche Systeme - K Prätor: Logik als Organisation von Handlungen - V. Dreier: Fotografien als empirische Daten - J. Blasius: Informationen und Fehlinformationen durch die Sozialwissenschaften - A. Kovaleva: Psychologische Konstrukte und Modelle der Persönlichkeitspsychologie - J. Hagenah, D. Gilles, D. Becker: Überregionale Tageszeitungen 3. Wissensmehrwert I. Dahlberg: Desiderate für die Wissensorganisation - J. Lindenthal, E. Scheven: ISO 25964 - Standard der Information und Dokumentation - M. Stempfhuber, B. Zapilko: Ein Ebenenmodell für die semantische Integration von Primärdaten und Publikationen in Digitalen Bibliotheken - P. Mayr, P. Mutschke, P. Schaer, Y. Sure: Mehrwertdienste für das Information Retrieval - 4. Semantik in der Wissensorganisation W. Koch: Vokabularien und WebServices - F. Boteram: Typisierung semantischer Relationen in integrierten Systemen der Wissensorganisation - J. Hubrich: Vom Stringmatching zur Begriffsexploration - B. Zapilko, Y. Sure: Neue Möglichkeiten für die Wissensorganisation durch die Kombination von Digital Library Verfahren mit Standards des Semantic Web 5. Wissenserwerb K. S. Raghavan: Education for Information Management as a Transformation Force - T. Sporer, P. Meyer, M. Steinle: Begleitstudium als Modell zur Einbettung informellen Lernens in das Universitätsstudium - E. Horvatic: Vom Verhältnis von Gedächtnis, Medien und der Wissensorganisation - Hofhues, M. Kamper, T. Specht: Förderung des Wissensaustauschs unter Studierenden
    6. Fachkommunikation L. Pinna, W. Wessels: Wissensorganisationssysteme für Archäologie und Kulturerbe - Sandra Ducker, Uta Roth: Wissenslandkarte Berufsbildungsforschung - S. Gradmann, M. Olensky: Semantische Kontextualisierung von Museumsbeständen in Europeana - W. Shen, M. Stempfhuber: Embedding Discussion in Online Publications 7. Wissensgemeinschaften O. Bidlo, C. J. Englert: Wissen verbindet - verbindet Wissen - H. Paepcke, J. Hafensteller: Building an Epistemic Community 2.0 - K. Weishaupt: Open-Access-Zeitschriften als Schuttabladeplatz für minderwertige Beiträge? - K M. Janowit: Netnographie 8. Wissensmanagement E. Ammann: A Conception of Knowledge and Knowledge Dynamics in an Enterprise - J. Bertram: Stand der unternehmensweiten Suche in österreichischen Großunternehmen - M. Braschler, B. Heuwing, T. Mandl, C. Womser-Hacker, J. Herget, P. Schäuble, J. Stuker.: Evaluation der Suchfunktion deutscher Unternehmenswebsites 9. Wissensqualität L. Bornmann: Lässt sich die Qualität von Forschung messen? - H. H. Lietz: Diagnose von Emerging Science - U. Herb: Relevanz von Impact-Maßen für Open Access - U. Miller: Peer-Review-Verfahren zur Qualitätssicherung von Open-AccessZeitschriften - W. Dees: "Publication power approach"
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  14. Jabloun, M.; Sayeb, Y.; Ben Ghezala, H.: From EA to actor model : knowledge in the service of IS reform (2017) 0.04 
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    Source
    Theorie, Semantik und Organisation von Wissen: Proceedings der 13. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und dem 13. Internationalen Symposium der Informationswissenschaft der Higher Education Association for Information Science (HI) Potsdam (19.-20.03.2013): 'Theory, Information and Organization of Knowledge' / Proceedings der 14. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und Natural Language & Information Systems (NLDB) Passau (16.06.2015): 'Lexical Resources for Knowledge Organization' / Proceedings des Workshops der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) auf der SEMANTICS Leipzig (1.09.2014): 'Knowledge Organization and Semantic Web' / Proceedings des Workshops der Polnischen und Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) Cottbus (29.-30.09.2011): 'Economics of Knowledge Production and Organization'. Hrsg. von W. Babik, H.P. Ohly u. K. Weber
  15. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.04 
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    Date
    22. 1.2011 13:02:21
  16. Jiang, Y.; Zheng, H.-T.; Wang, X.; Lu, B.; Wu, K.: Affiliation disambiguation for constructing semantic digital libraries (2011) 0.04 
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    Abstract
    With increasing digital information availability, semantic web technologies have been employed to construct semantic digital libraries in order to ease information comprehension. The use of semantic web enables users to search or visualize resources in a semantic fashion. Semantic web generation is a key process in semantic digital library construction, which converts metadata of digital resources into semantic web data. Many text mining technologies, such as keyword extraction and clustering, have been proposed to generate semantic web data. However, one important type of metadata in publications, called affiliation, is hard to convert into semantic web data precisely because different authors, who have the same affiliation, often express the affiliation in different ways. To address this issue, this paper proposes a clustering method based on normalized compression distance for the purpose of affiliation disambiguation. The experimental results show that our method is able to identify different affiliations that denote the same institutes. The clustering results outperform the well-known k-means clustering method in terms of average precision, F-measure, entropy, and purity.
  17. Denning, J.; Pera, M.S.; Ng, Y.-K.: ¬A readability level prediction tool for K-12 books (2016) 0.04 
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    Abstract
    The readability levels of books identify suitable reading materials. Unfortunately, the majority of published books are assigned a readability level range, which is not useful to readers who look for books at a particular grade level. Existing readability formulas/analysis tools require at least an excerpt of a book to estimate its readability level, which is a severe constraint, since copyright laws prohibit book contents from being made publicly accessible. To alleviate the constraint, we have developed TRoLL which relies on publicly accessible online book metadata, in addition to using a book's snippet, if it is available, to predict its readability level. Based on a multi-dimensional regression analysis, TRoLL determines the grade level of any book instantly, even without a sample of its text, and considers its topical suitability, which is unique. Furthermore, TRoLL is a significant contribution to the educational community, since its computed book readability levels can enrich K-12 readers' book selections and aid parents, teachers, and librarians in locating reading materials suitable for their K-12 readers, which can be a time-consuming and frustrating task that does not always yield a quality outcome. Conducted empirical studies have verified the prediction accuracy of TRoLL and demonstrated its superiority over well-known readability formulas/analysis tools.
  18. Onodera, N.; Iwasawa, M.; Midorikawa, N.; Yoshikane, F.; Amano, K.; Ootani, Y.; Kodama, T.; Kiyama, Y.; Tsunoda, H.; Yamazaki, S.: ¬A method for eliminating articles by homonymous authors from the large number of articles retrieved by author search (2011) 0.04 
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  19. Tsai, C.-F.; Hu, Y.-H.; Chen, Z.-Y.: Factors affecting rocchio-based pseudorelevance feedback in image retrieval (2015) 0.04 
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    Abstract
    Pseudorelevance feedback (PRF) was proposed to solve the limitation of relevance feedback (RF), which is based on the user-in-the-loop process. In PRF, the top-k retrieved images are regarded as PRF. Although the PRF set contains noise, PRF has proven effective for automatically improving the overall retrieval result. To implement PRF, the Rocchio algorithm has been considered as a reasonable and well-established baseline. However, the performance of Rocchio-based PRF is subject to various representation choices (or factors). In this article, we examine these factors that affect the performance of Rocchio-based PRF, including image-feature representation, the number of top-ranked images, the weighting parameters of Rocchio, and similarity measure. We offer practical insights on how to optimize the performance of Rocchio-based PRF by choosing appropriate representation choices. Our extensive experiments on NUS-WIDE-LITE and Caltech 101 + Corel 5000 data sets show that the optimal feature representation is color moment + wavelet texture in terms of retrieval efficiency and effectiveness. Other representation choices are that using top-20 ranked images as pseudopositive and pseudonegative feedback sets with the equal weight (i.e., 0.5) by the correlation and cosine distance functions can produce the optimal retrieval result.
  20. Larivière, V.; Gingras, Y.: ¬The impact factor's Matthew Effect : a natural experiment in bibliometrics (2010) 0.04 
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    Abstract
    Since the publication of Robert K. Merton's theory of cumulative advantage in science (Matthew Effect), several empirical studies have tried to measure its presence at the level of papers, individual researchers, institutions, or countries. However, these studies seldom control for the intrinsic quality of papers or of researchers - better (however defined) papers or researchers could receive higher citation rates because they are indeed of better quality. Using an original method for controlling the intrinsic value of papers - identical duplicate papers published in different journals with different impact factors - this paper shows that the journal in which papers are published have a strong influence on their citation rates, as duplicate papers published in high-impact journals obtain, on average, twice as many citations as their identical counterparts published in journals with lower impact factors. The intrinsic value of a paper is thus not the only reason a given paper gets cited or not, there is a specific Matthew Effect attached to journals and this gives to papers published there an added value over and above their intrinsic quality.

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