Search (4 results, page 1 of 1)

  • × author_ss:"Lee, J."
  • × year_i:[2010 TO 2020}
  1. Lee, J.; Min, J.-K.; Oh, A.; Chung, C.-W.: Effective ranking and search techniques for Web resources considering semantic relationships (2014) 0.00 
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    Abstract
    On the Semantic Web, the types of resources and the semantic relationships between resources are defined in an ontology. By using that information, the accuracy of information retrieval can be improved. In this paper, we present effective ranking and search techniques considering the semantic relationships in an ontology. Our technique retrieves top-k resources which are the most relevant to query keywords through the semantic relationships. To do this, we propose a weighting measure for the semantic relationship. Based on this measure, we propose a novel ranking method which considers the number of meaningful semantic relationships between a resource and keywords as well as the coverage and discriminating power of keywords. In order to improve the efficiency of the search, we prune the unnecessary search space using the length and weight thresholds of the semantic relationship path. In addition, we exploit Threshold Algorithm based on an extended inverted index to answer top-k results efficiently. The experimental results using real data sets demonstrate that our retrieval method using the semantic information generates accurate results efficiently compared to the traditional methods.
    Content
    Vgl.: doi: 10.1016/j.ipm.2013.08.007. A short preliminary version of this paper was published in the proceeding of WWW 2009 as a two page poster paper.
    Type
    a
  2. Lim, S.; Woo, J.R.; Lee, J.; Huh, S.-Y.: Consumer valuation of personal information in the age of big data (2018) 0.00 
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    Abstract
    In a big data environment, there are growing concerns about the violation of consumer rights regarding information privacy. To induce rational regulations for protecting personal information, it is necessary to separately estimate consumers' values related to different types of personal information. In this article, discrete choice experiments using hypothetical information leakage situations given certain compensation amounts and discrete choice models were used to quantitatively analyze the value of personal information. The results indicate that consumers generally place high value on information that could cause immediate and actual damage from the leakage after identification, such as basic personal information and purchase list and payment information. Consumers value location information and personal medical information differently based on their perceived importance of privacy and their prior experience with personal information leakage. We suggest that the level of regulation should differ according to the type of personal information based on the consumers' valuation. This article contributes to a better understanding of a quantitative approach to pricing personal information.
    Type
    a
  3. Chung, E.K.; Kwon, N.; Lee, J.: Understanding scientific collaboration in the research life cycle : bio- and nanoscientists' motivations, information-sharing and communication practices, and barriers to collaboration (2016) 0.00 
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    Abstract
    This study aims to identify the way researchers collaborate with other researchers in the course of the scientific research life cycle and provide information to the designers of e-Science and e-Research implementations. On the basis of in-depth interviews with and on-site observations of 24 scientists and a follow-up focus group interview in the field of bioscience/nanoscience and technology in Korea, we examined scientific collaboration using the framework of the scientific research life cycle. We attempt to explain the major motivations, characteristics of communication and information sharing, and barriers associated with scientists' research collaboration practices throughout the research life cycle. The findings identify several notable phenomena including motivating factors, the timing of collaboration formation, partner selection, communication methods, information-sharing practices, and barriers at each phase of the life cycle. We find that specific motivations were related to specific phases. The formation of collaboration was observed throughout the entire process, not only in the beginning phase of the cycle. For communication and information-sharing practices, scientists continue to favor traditional means of communication for security reasons. Barriers to collaboration throughout the phases included different priorities, competitive tensions, and a hierarchical culture among collaborators, whereas credit sharing was a barrier in the research product phase.
    Type
    a
  4. Lee, J.; Oh, S.; Dong, H.; Wang, F.; Burnett, G.: Motivations for self-archiving on an academic social networking site : a study on researchgate (2019) 0.00 
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    Abstract
    This study investigates motivations for self-archiving research items on academic social networking sites (ASNSs). A model of these motivations was developed based on two existing motivation models: motivation for self-archiving in academia and motivations for information sharing in social media. The proposed model is composed of 18 factors drawn from personal, social, professional, and external contexts, including enjoyment, personal/professional gain, reputation, learning, self-efficacy, altruism, reciprocity, trust, community interest, social engagement, publicity, accessibility, self-archiving culture, influence of external actors, credibility, system stability, copyright concerns, additional time, and effort. Two hundred and twenty-six ResearchGate users participated in the survey. Accessibility was the most highly rated factor, followed by altruism, reciprocity, trust, self-efficacy, reputation, publicity, and others. Personal, social, and professional factors were also highly rated, while external factors were rated relatively low. Motivations were correlated with one another, demonstrating that RG motivations for self-archiving could increase or decrease based on several factors in combination with motivations from the personal, social, professional, and external contexts. We believe the findings from this study can increase our understanding of users' motivations in sharing their research and provide useful implications for the development and improvement of ASNS services, thereby attracting more active users.
    Type
    a

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