-
Zhang, J.; An, L.; Tang, T.; Hong, Y.: Visual health subject directory analysis based on users' traversal activities (2009)
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- Abstract
- Concerns about health issues cover a wide spectrum. Consumer health information, which has become more available on the Internet, plays an extremely important role in addressing these concerns. A subject directory as an information organization and browsing mechanism is widely used in consumer health-related Websites. In this study we employed the information visualization technique Self-Organizing Map (SOM) in combination with a new U-matrix algorithm to analyze health subject clusters through a Web transaction log. An experimental study was conducted to test the proposed methods. The findings show that the clusters identified from the same cells based on path-length-1 outperformed both the clusters from the adjacent cells based on path-length-1 and the clusters from the same cells based on path-length-2 in the visual SOM display. The U-matrix method successfully distinguished the irrelevant subjects situated in the adjacent cells with different colors in the SOM display. The findings of this study lead to a better understanding of the health-related subject relationship from the users' traversal perspective.
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.1977-1994
-
Zhang, L.; Liu, Q.L.; Zhang, J.; Wang, H.F.; Pan, Y.; Yu, Y.: Semplore: an IR approach to scalable hybrid query of Semantic Web data (2007)
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- Pages
- S.652-665
-
An, L.; Zhang, J.; Yu, C.: ¬The visual subject analysis of library and information science journals with self-organizing map (2011)
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- Abstract
- Academic journals play an important role in scientific communication. The effective organization of journals can help reveal the thematic contents of journals and thus make them more user-friendly. In this study, the Self-Organizing Map (SOM) technique was employed to visually analyze the 60 library and information science-related journals published from 2006 to 2008. The U-matrix by Ultsch (2003) was applied to categorize the journals into 19 clusters according to their subjects. Four journals were recommended to supplement library collections although they were not indexed by SCI/SSCI. A novel SOM display named Attribute Accumulation Matrix (AA-matrix) was proposed, and the results from this method show that they correlate significantly with the total occurrences of the subjects in the investigated journals. The AA-matrix was employed to identify the 86 salient subjects, which could be manually classified into 7 meaningful groups. A method of the Salient Attribute Projection was constructed to label the attribute characteristics of different clusters. Finally, the subject characteristics of the journals with high impact factors (IFs) were also addressed. The findings of this study can lead to a better understanding of the subject structure and characteristics of library/information-related journals.
- Source
- Knowledge organization. 38(2011) no.4, S.299-320
-
Zhang, J.; Wolfram, D.: Visualization of term discrimination analysis (2001)
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- Abstract
- Zang and Wolfram compute the discrimination value for terms as the difference between the centroid value of all terms in the corpus and that value without the term in question, and suggest selection be made by comparing density changes with a visualization tool. The Distance Angle Retrieval Environment (DARE) visually projects a document or term space by presenting distance similarity on the X axis and angular similarity on the Y axis. Thus a document icon appearing close to the X axis would be relevant to reference points in terms of a distance similarity measure, while those close to the Y axis are relevant to reference points in terms of an angle based measure. Using 450 Associated Press news reports indexed by 44 distinct terms, the removal of the term ``Yeltsin'' causes the cluster to fall on the Y axis indicating a good discriminator. For an angular measure, cosine say, movement along the X axis to the left will signal good discrimination, as movement to the right will signal poor discrimination. A term density space could also be used. Most terms are shown to be indifferent discriminators. Different measures result in different choices as good and poor discriminators, as does the use of a term space rather than a document space. The visualization approach is clearly feasible, and provides some additional insights not found in the computation of a discrimination value.
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.8, S.615-627
-
Zhang, J.; Chen, Y.; Zhao, Y.; Wolfram, D.; Ma, F.: Public health and social media : a study of Zika virus-related posts on Yahoo! Answers (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.3, S.282-299
-
Gao, J.; Zhang, J.: Clustered SVD strategies in latent semantic indexing (2005)
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- Source
- Information processing and management. 41(2005) no.5, S.1051-1064
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Li, D.; Luo, Z.; Ding, Y.; Tang, J.; Sun, G.G.-Z.; Dai, X.; Du, J.; Zhang, J.; Kong, S.: User-level microblogging recommendation incorporating social influence (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.3, S.553-568
-
Zhang, J.; Wolfram, D.; Wang, P.; Hong, Y.; Gillis, R.: Visualization of health-subject analysis based on query term co-occurrences (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.12, S.1933-1947
-
Li, D.; Tang, J.; Ding, Y.; Shuai, X.; Chambers, T.; Sun, G.; Luo, Z.; Zhang, J.: Topic-level opinion influence model (TOIM) : an investigation using tencent microblogging (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2657-2673
-
Zhang, J.; Zhao, Y.: ¬A user term visualization analysis based on a social question and answer log (2013)
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- Source
- Information processing and management. 49(2013) no.5, S.1019-1048
-
Zhang, J.; Zhai, S.; Stevenson, J.A.; Xia, L.: Optimization of the subject directory in a government agriculture department web portal (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2166-2180
-
Zhang, J.; Zeng, M.L.: ¬A new similarity measure for subject hierarchical structures (2014)
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- Date
- 8. 4.2015 16:22:13
- Source
- Journal of documentation. 70(2014) no.3, S.364-391
-
Zhang, J.; Mostafa, J.; Tripathy, H.: Information retrieval by semantic analysis and visualization of the concept space of D-Lib® magazine (2002)
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