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  • × author_ss:"Qin, J."
  1. Qin, J.: ¬A relation typology in knowledge organization systems : case studies in the research data management domain (2018) 0.02 
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  2. Qin, J.; Lancaster, F.W.; Allen, B.: Types and levels of collaboration in interdisciplinary research in the sciences (1997) 0.02 
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    Abstract
    Reports on a study which collected a sample of 846 scientific research papers published in 1992 and tests 3 hypotheses on the relationship between research collaboration and interdisciplinarity. Results showed significant differences in degrees of interdisciplinarity among different levels of collaboration and among different disciplines. Collaboration contributed significantly to the degree of interdisciplinarity in some disciplines and not in others. Uses a survey that asked authors about their form of collaboration, channels of communication and use of information. The survey provides some qualitative explanation for the bibliometrics findings. Discusses the perspective of scientist-scientist interaction, scientist-information interaction and information-information interaction
  3. Chen, H.; Chung, W.; Qin, J.; Reid, E.; Sageman, M.; Weimann, G.: Uncovering the dark Web : a case study of Jihad on the Web (2008) 0.01 
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    Abstract
    While the Web has become a worldwide platform for communication, terrorists share their ideology and communicate with members on the Dark Web - the reverse side of the Web used by terrorists. Currently, the problems of information overload and difficulty to obtain a comprehensive picture of terrorist activities hinder effective and efficient analysis of terrorist information on the Web. To improve understanding of terrorist activities, we have developed a novel methodology for collecting and analyzing Dark Web information. The methodology incorporates information collection, analysis, and visualization techniques, and exploits various Web information sources. We applied it to collecting and analyzing information of 39 Jihad Web sites and developed visualization of their site contents, relationships, and activity levels. An expert evaluation showed that the methodology is very useful and promising, having a high potential to assist in investigation and understanding of terrorist activities by producing results that could potentially help guide both policymaking and intelligence research.
  4. Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001) 0.01 
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    Date
    24. 8.2005 19:20:22
  5. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.00 
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    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
  6. Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003) 0.00 
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    Date
    12. 9.2004 17:22:35

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