Search (8 results, page 1 of 1)

  • × author_ss:"Wu, S."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Stvilia, B.; Hinnant, C.C.; Wu, S.; Worrall, A.; Lee, D.J.; Burnett, K.; Burnett, G.; Kazmer, M.M.; Marty, P.F.: Research project tasks, data, and perceptions of data quality in a condensed matter physics community (2015) 0.00
    0.0030444188 = product of:
      0.0060888375 = sum of:
        0.0060888375 = product of:
          0.012177675 = sum of:
            0.012177675 = weight(_text_:a in 1631) [ClassicSimilarity], result of:
              0.012177675 = score(doc=1631,freq=18.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.22931081 = fieldWeight in 1631, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1631)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    To be effective and at the same time sustainable, a community data curation model needs to be aligned with the community's current data practices, including research project activities, data types, and perceptions of data quality. Based on a survey of members of the condensed matter physics (CMP) community gathered around the National High Magnetic Field Laboratory, a large national laboratory, this article defines a model of CMP research project tasks consisting of 10 task constructs. In addition, the study develops a model of data quality perceptions by CMP scientists consisting of four data quality constructs. The paper also discusses relationships among the data quality perceptions, project roles, and demographic characteristics of CMP scientists. The findings of the study can inform the design of a CMP data curation model that is aligned and harmonized with the community's research work structure and data practices.
    Type
    a
  2. Stvilia, B.; Wu, S.; Lee, D.J.: Researchers' uses of and disincentives for sharing their research identity information in research information management systems (2018) 0.00
    0.0023919214 = product of:
      0.0047838427 = sum of:
        0.0047838427 = product of:
          0.009567685 = sum of:
            0.009567685 = weight(_text_:a in 4373) [ClassicSimilarity], result of:
              0.009567685 = score(doc=4373,freq=16.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.18016359 = fieldWeight in 4373, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4373)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This study examined how researchers used research information systems (RIMSs) and the relationships among researchers' seniority, discipline, and types and extent of RIMS use. Most researchers used RIMSs to discover research content. Fewer used RIMSs for sharing and promoting their research. Early career researchers were more frequent users of RIMSs than were associate and full professors. Likewise, assistant professors and postdocs exhibited a higher probability of using RIMSs to promote their research than did students and full professors. Humanities researchers were the least frequent users of RIMSs. Moreover, humanities scholars used RIMSs to evaluate research less than did scholars in other disciplines. The tasks of discovering papers, monitoring the literature, identifying potential collaborators, and promoting research were predictors of higher RIMS use. Researchers who engaged in promoting their research, evaluating research, or monitoring the literature showed a greater propensity to have a public RIMS profile. Furthermore, researchers mostly agreed that not being required, having no effect on their status, not being useful, or not being a norm were reasons for not having a public RIMS profile. Humanities scholars were also more likely than social scientists to agree that having a RIMS profile was not a norm in their fields.
    Type
    a
  3. Wu, S.; Li, J.; Zeng, X.; Bi, Y.: Adaptive data fusion methods in information retrieval (2014) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 1500) [ClassicSimilarity], result of:
              0.009471525 = score(doc=1500,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 1500, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1500)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Data fusion is currently used extensively in information retrieval for various tasks. It has proved to be a useful technology because it is able to improve retrieval performance frequently. However, in almost all prior research in data fusion, static search environments have been used, and dynamic search environments have generally not been considered. In this article, we investigate adaptive data fusion methods that can change their behavior when the search environment changes. Three adaptive data fusion methods are proposed and investigated. To test these proposed methods properly, we generate a benchmark from a historic Text REtrieval Conference data set. Experiments with the benchmark show that 2 of the proposed methods are good and may potentially be used in practice.
    Type
    a
  4. Wu, S.; Fan, Y.: Music literature indexing : comparing users' free-text queries and controlled vocabularies (2018) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 4084) [ClassicSimilarity], result of:
              0.009471525 = score(doc=4084,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 4084, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4084)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This study examined the characteristics of users' free-text queries submitted to RILM Abstracts of Music Literature (a music literature database), and compared those queries with the controlled vocabularies used by RILM. Search-log analysis identified 11 categories of user-created search terms, and mapped each user-created search term to RILM's index terms, assessing whether it was a perfect match, a partial match, or no match. Only 30.04% of the user-created search terms did not match RILM's index terms. Most of the partial-matching and non-matching user-created search terms were personal names, work titles, and topical terms. Suggestions are offered to enhance RILM's controlled vocabularies.
    Type
    a
  5. Wu, S.; Fan, Y.: Music literature indexing : comparing users' free-text queries and controlled vocabularies (2018) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 5176) [ClassicSimilarity], result of:
              0.009471525 = score(doc=5176,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 5176, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=5176)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This study examined the characteristics of users' free-text queries submitted to RILM Abstracts of Music Literature (a music literature database), and compared those queries with the controlled vocabularies used by RILM. Search-log analysis identified 11 categories of user-created search terms, and mapped each user-created search term to RILM's index terms, assessing whether it was a perfect match, a partial match, or no match. Only 30.04% of the user-created search terms did not match RILM's index terms. Most of the partial-matching and non-matching user-created search terms were personal names, work titles, and topical terms. Suggestions are offered to enhance RILM's controlled vocabularies.
    Type
    a
  6. Zhao, R.; Wu, S.: ¬The network pattern of journal knowledge transfer in library and information science in China (2014) 0.00
    0.002269176 = product of:
      0.004538352 = sum of:
        0.004538352 = product of:
          0.009076704 = sum of:
            0.009076704 = weight(_text_:a in 1392) [ClassicSimilarity], result of:
              0.009076704 = score(doc=1392,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.1709182 = fieldWeight in 1392, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1392)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Using the library and information science journals 2003-2012 in Nanjing University's Chinese Social Sciences Citation Index as data sources, the paper reveals the citation structure implied in these journals by applying social network analysis. Results show that, first, journal knowledge transfer activity in library and information science is frequent, and both the level of knowledge and discipline integration as well as the knowledge gap influenced knowledge transfer activity. According to the out-degree and in-degree, journals can be divided into three kinds. Second, based on professional bias and citation frequency, the knowledge transfer network can be divided into four blocks. With the change of discipline capacity and knowledge gap among journals, the "core-periphery" structure of the knowledge transfer network is getting weaker. Finally, regions of the knowledge transfer network evolved from a "weak-weak" subgroup to a "strong-weak" subgroup or a "weak-strong" subgroup, and then move to a "strong-strong" subgroup.
    Type
    a
  7. Jörgensen, C.; Stvilia, B.; Wu, S.: Assessing the relationships among tag syntax, semantics, and perceived usefulness (2014) 0.00
    0.001757696 = product of:
      0.003515392 = sum of:
        0.003515392 = product of:
          0.007030784 = sum of:
            0.007030784 = weight(_text_:a in 1244) [ClassicSimilarity], result of:
              0.007030784 = score(doc=1244,freq=6.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.13239266 = fieldWeight in 1244, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1244)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    With the recent interest in socially created metadata as a potentially complementary resource for image description in relation to established tools such as thesauri and other forms of controlled vocabulary, questions remain about the quality and reuse value of these metadata. This study describes and examines a set of tags using quantitative and qualitative methods and assesses relationships among categories of image tags, tag assignment order, and users' perceptions of usefulness of index terms and user-contributed tags. The study found that tags provide much descriptive information about an image but that users also value and trust controlled vocabulary terms. The study found no correlation between tag length and assignment order, and tag length and its perceived usefulness. The findings of this study can contribute to the design of controlled vocabularies, indexing processes, and retrieval systems for images. In particular, the findings of the study can advance the understanding of image tagging practices, tag facet/category distributions, relative usefulness and importance of these categories to the user, and potential mechanisms for identifying useful terms.
    Type
    a
  8. Wu, S.; Liu, S.; Wang, Y.; Timmons, T.; Uppili, H.; Bedrick, S.; Hersh, W.; Liu, H,: Intrainstitutional EHR collections for patient-level information retrieval (2017) 0.00
    0.0011839407 = product of:
      0.0023678814 = sum of:
        0.0023678814 = product of:
          0.0047357627 = sum of:
            0.0047357627 = weight(_text_:a in 3925) [ClassicSimilarity], result of:
              0.0047357627 = score(doc=3925,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.089176424 = fieldWeight in 3925, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3925)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Type
    a