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Cheung, D.W.; Kao, B.; Lee, J.: Discovering user access patterns on the World Wide Web (1998)
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- Date
- 13. 6.1999 17:50:29
- Footnote
- Contribution to a special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
- Language
- e
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Lee, J.; Min, J.-K.; Oh, A.; Chung, C.-W.: Effective ranking and search techniques for Web resources considering semantic relationships (2014)
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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.
- Language
- e
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Lee, J.; Jatowt, A.; Kim, K.-S..: Discovering underlying sensations of human emotions based on social media (2021)
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- Language
- e
-
Mischo, W.H.; Lee, J.: End-user searching in bibliographic databases (1987)
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- Language
- e
- Source
- Annual review of information science and technology. 22(1987), S.227-263
-
Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022)
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- Abstract
- Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to expand teams' search activities for a broader scope of resources required to address the global challenge, which might facilitate the generation of novel ideas. Our analysis of 98,981 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pretrained on 29 million PubMed articles, and first-time collaboration increased after the outbreak of COVID-19, and international collaboration witnessed a sudden decrease. During COVID-19, papers with more first-time collaboration were found to be more novel and international collaboration did not hamper novelty as it had done in the normal periods. The findings suggest the necessity of reaching out for distant resources and the importance of maintaining a collaborative scientific community beyond nationalism during a pandemic.
- Language
- e
-
Chung, S.M.; Lee, J.: Information discovery on the Internet (1998)
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- Language
- e
-
Lee, J.: Geographical information systems : an introduction (1993)
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- Language
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-
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)
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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.
- Language
- e
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Lee, J.: Design rationale systems : understanding the issues (1997)
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Lee, J.; Boling, E.: Information-conveying approaches and cognitive styles of mental modeling in a hypermedia-based learning environment (2008)
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Neilson, I.; Lee, J.: Conversations with graphics : implications for the design of natural language/graphics interfaces (1994)
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Lim, S.; Woo, J.R.; Lee, J.; Huh, S.-Y.: Consumer valuation of personal information in the age of big data (2018)
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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)
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Son, J.; Lee, J.; Larsen, I.; Nissenbaum, K.R.; Woo, J.: Understanding the uncertainty of disaster tweets and its effect on retweeting : the perspectives of uncertainty reduction theory and information entropy (2020)
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