-
Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002)
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- Date
- 22. 2.2003 17:25:39
22. 2.2003 18:15:14
- Series
- Lecture notes in computer science; 2539
-
Wang, J.; Oard, D.W.: Matching meaning for cross-language information retrieval (2012)
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- Source
- Information processing and management. 48(2012) no.4, S.631-653
-
Wang, J.: Chinese serials : history, characteristics, and cataloging considerations (2003)
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- Abstract
- Chinese serials are an indispensable component of American academic library collections that have Chinese language or studies programs. This special type of collection has not only attracted the interest of Chinese scholars, but has also been more in demand by university students, faculty and researchers in the related fields. Academic libraries, especially those outside East Asian collections, face multiple challenges in ensuring access to this unique material due to limited library budgets and cataloging staff. This article focuses on enhancing the understanding of Chinese serials and the challenges in processing and cataloging this type of material, including a brief history of Chinese serials, a description of their unique characteristics, and issues concerning cataloging practice.
-
Oard, D.W.; He, D.; Wang, J.: User-assisted query translation for interactive cross-language information retrieval (2008)
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- Source
- Information processing and management. 44(2008) no.1, S.181-211
-
Wang, J.; Clements, M.; Yang, J.; Vries, A.P. de; Reinders, M.J.T.: Personalization of tagging systems (2010)
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- Source
- Information processing and management. 46(2010) no.1, S.58-70
-
Hicks, D.; Wang, J.: Coverage and overlap of the new social sciences and humanities journal lists (2011)
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- Date
- 22. 1.2011 13:21:28
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.284-294
-
He, R.; Wang, J.; Tian, J.; Chu, C.-T.; Mauney, B.; Perisic, I.: Session analysis of people search within a professional social network (2013)
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- Date
- 19. 4.2013 20:31:22
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.929-950
-
Jiang, Z.; Gu, Q.; Yin, Y.; Wang, J.; Chen, D.: GRAW+ : a two-view graph propagation method with word coupling for readability assessment (2019)
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- Date
- 15. 4.2019 13:46:22
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.5, S.433-447
-
Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023)
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- Date
- 22. 9.2023 16:39:23
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1207-1228
-
Thomas, I.S.; Wang, J.; GPT-3: Was euch zu Menschen macht : Antworten einer künstlichen Intelligenz auf die großen Fragen des Lebens (2022)
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- Date
- 7. 1.2023 18:41:29
-
Zhang, D.; Pee, L.G.; Pan, S.L.; Wang, J.: Information practices in data analytics for supporting public health surveillance (2024)
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- Abstract
- Public health surveillance based on data analytics plays a crucial role in detecting and responding to public health crises, such as infectious disease outbreaks. Previous information science research on the topic has focused on developing analytical algorithms and visualization tools. This study seeks to extend the research by investigating information practices in data analytics for public health surveillance. Through a case study of how data analytics was conducted for surveilling Influenza A and COVID-19 outbreaks, both exploration information practices (i.e., probing, synthesizing, exchanging) and exploitation information practices (i.e., scavenging, adapting, outreaching) were identified and detailed. These findings enrich our empirical understanding of how data analytics can be implemented to support public health surveillance.
- Source
- Journal of the Association for Information Science and Technology. 75(2023) no.1, S.79-93
-
Wang, J.: ¬An extensive study on automated Dewey Decimal Classification (2009)
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- Abstract
- In this paper, we present a theoretical analysis and extensive experiments on the automated assignment of Dewey Decimal Classification (DDC) classes to bibliographic data with a supervised machine-learning approach. Library classification systems, such as the DDC, impose great obstacles on state-of-art text categorization (TC) technologies, including deep hierarchy, data sparseness, and skewed distribution. We first analyze statistically the document and category distributions over the DDC, and discuss the obstacles imposed by bibliographic corpora and library classification schemes on TC technology. To overcome these obstacles, we propose an innovative algorithm to reshape the DDC structure into a balanced virtual tree by balancing the category distribution and flattening the hierarchy. To improve the classification effectiveness to a level acceptable to real-world applications, we propose an interactive classification model that is able to predict a class of any depth within a limited number of user interactions. The experiments are conducted on a large bibliographic collection created by the Library of Congress within the science and technology domains over 10 years. With no more than three interactions, a classification accuracy of nearly 90% is achieved, thus providing a practical solution to the automatic bibliographic classification problem.
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2269-2286
-
Wang, J.; Guan, J.: ¬The analysis and evaluation of knowledge efficiency in research groups (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.11, S.1217-1226
-
Lu, C.; Bu, Y.; Wang, J.; Ding, Y.; Torvik, V.; Schnaars, M.; Zhang, C.: Examining scientific writing styles from the perspective of linguistic complexity : a cross-level moderation model (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.5, S.462-475
-
Wang, J.: Automatic thesaurus development : term extraction from title metadata (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.7, S.907-920
-
Qiu, J.; Zuo, M.; Wang, J.; Cai, C.: Knowledge order in an online knowledge community : group heterogeneity and two paths mediated by group interaction (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.8, S.1075-1091
