Search (930 results, page 1 of 47)

  • × year_i:[2010 TO 2020}
  1. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.19 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
    Type
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  2. Ford, N.: Introduction to information behaviour (2015) 0.09 
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    Date
    22. 1.2017 16:45:48
    Pages
    X, 252 S
  3. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.08 
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
    Type
    x
  4. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.08 
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    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
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  5. Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018) 0.08 
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    Content
    Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>
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  6. Glaesener, L.: Automatisches Indexieren einer informationswissenschaftlichen Datenbank mit Mehrwortgruppen (2012) 0.07 
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    Date
    11. 9.2012 19:43:22
    Type
    x
  7. Castle, C.: Getting the central RDM message across : a case study of central versus discipline-specific Research Data Services (RDS) at the University of Cambridge (2019) 0.07 
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    Abstract
    RDS are usually cross-disciplinary, centralised services, which are increasingly provided at a university by the academic library and in collaboration with other RDM stakeholders, such as the Research Office. At research-intensive universities, research data is generated in a wide range of disciplines and sub-disciplines. This paper will discuss how providing discipline-specific RDM support is approached by such universities and academic libraries, and the advantages and disadvantages of these central and discipline-specific approaches. A descriptive case study on the author's experiences of collaborating with a central RDS at the University of Cambridge, as a subject librarian embedded in an academic department, is a major component of this paper. The case study describes how centralised RDM services offered by the Office of Scholarly Communication (OSC) have been adapted to meet discipline-specific needs in the Department of Chemistry. It will introduce the department and the OSC, and describe the author's role in delivering RDM training, as well as the Data Champions programme, and their membership of the RDM Project Group. It will describe the outcomes of this collaboration for the Department of Chemistry, and for the centralised service. Centralised and discipline-specific approaches to RDS provision have their own advantages and disadvantages. Supporting the discipline-specific RDM needs of researchers is proving particularly challenging for universities to address sustainably: it requires adequate financial resources and staff skilled (or re-skilled) in RDM. A mixed approach is the most desirable, cost-effective way of providing RDS, but this still has constraints.
    Date
    7. 9.2019 21:30:22
  8. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.06 
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
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  9. Zhang, Y.: Developing a holistic model for digital library evaluation (2010) 0.06 
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    Abstract
    This article reports the author's recent research in developing a holistic model for various levels of digital library (DL) evaluation in which perceived important criteria from heterogeneous stakeholder groups are organized and presented. To develop such a model, the author applied a three-stage research approach: exploration, confirmation, and verification. During the exploration stage, a literature review was conducted followed by an interview, along with a card sorting technique, to collect important criteria perceived by DL experts. Then the criteria identified were used for developing an online survey during the confirmation stage. Survey respondents (431 in total) from 22 countries rated the importance of the criteria. A holistic DL evaluation model was constructed using statistical techniques. Eventually, the verification stage was devised to test the reliability of the model in the context of searching and evaluating an operational DL. The proposed model fills two lacunae in the DL domain: (a) the lack of a comprehensive and flexible framework to guide and benchmark evaluations, and (b) the uncertainty about what divergence exists among heterogeneous DL stakeholders, including general users.
  10. Hjoerland, B.: ¬The importance of theories of knowledge : indexing and information retrieval as an example (2011) 0.06 
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    Abstract
    A recent study in information science (IS), raises important issues concerning the value of human indexing and basic theories of indexing and information retrieval, as well as the use of quantitative and qualitative approaches in IS and the underlying theories of knowledge informing the field. The present article uses L&E as the point of departure for demonstrating in what way more social and interpretative understandings may provide fruitful improvements for research in indexing, knowledge organization, and information retrieval. The artcle is motivated by the observation that philosophical contributions tend to be ignored in IS if they are not directly formed as criticisms or invitations to dialogs. It is part of the author's ongoing publication of articles about philosophical issues in IS and it is intended to be followed by analyzes of other examples of contributions to core issues in IS. Although it is formulated as a criticism of a specific paper, it should be seen as part of a general discussion of the philosophical foundation of IS and as a support to the emerging social paradigm in this field.
    Date
    17. 3.2011 19:22:55
  11. Aldebei, K.; He, X.; Jia, W.; Yeh, W.: SUDMAD: Sequential and unsupervised decomposition of a multi-author document based on a hidden markov model (2018) 0.06 
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    Abstract
    Decomposing a document written by more than one author into sentences based on authorship is of great significance due to the increasing demand for plagiarism detection, forensic analysis, civil law (i.e., disputed copyright issues), and intelligence issues that involve disputed anonymous documents. Among existing studies for document decomposition, some were limited by specific languages, according to topics or restricted to a document of two authors, and their accuracies have big room for improvement. In this paper, we consider the contextual correlation hidden among sentences and propose an algorithm for Sequential and Unsupervised Decomposition of a Multi-Author Document (SUDMAD) written in any language, disregarding topics, through the construction of a Hidden Markov Model (HMM) reflecting the authors' writing styles. To build and learn such a model, an unsupervised, statistical approach is first proposed to estimate the initial values of HMM parameters of a preliminary model, which does not require the availability of any information of author's or document's context other than how many authors contributed to writing the document. To further boost the performance of this approach, a boosted HMM learning procedure is proposed next, where the initial classification results are used to create labeled training data to learn a more accurate HMM. Moreover, the contextual relationship among sentences is further utilized to refine the classification results. Our proposed approach is empirically evaluated on three benchmark datasets that are widely used for authorship analysis of documents. Comparisons with recent state-of-the-art approaches are also presented to demonstrate the significance of our new ideas and the superior performance of our approach.
  12. Köbler, J.; Niederklapfer, T.: Kreuzkonkordanzen zwischen RVK-BK-MSC-PACS der Fachbereiche Mathematik un Physik (2010) 0.05 
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    Pages
    22 S
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  13. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.05 
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  14. Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014) 0.05 
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  15. Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014) 0.05 
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    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  16. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.05 
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  17. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013) 0.05 
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  18. Tang, X.-B.; Liu, G.-C.; Yang, J.; Wei, W.: Knowledge-based financial statement fraud detection system : based on an ontology and a decision tree (2018) 0.05 
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  19. Tang, X.; Chen, L.; Cui, J.; Wei, B.: Knowledge representation learning with entity descriptions, hierarchical types, and textual relations (2019) 0.05 
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  20. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.05 
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