Search (3 results, page 1 of 1)

  • × author_ss:"Wang, H."
  1. Tan, X.; Luo, X.; Wang, X.; Wang, H.; Hou, X.: Representation and display of digital images of cultural heritage : a semantic enrichment approach (2021) 0.01 
    0.0063645868 = product of:
  0.01909376 = sum of:
    0.01909376 = product of:
      0.057281278 = sum of:
        0.057281278 = weight(_text_:network in 455) [ClassicSimilarity], result of:
          0.057281278 = score(doc=455,freq=2.0), product of:
            0.19402927 = queryWeight, product of:
              4.4533744 = idf(docFreq=1398, maxDocs=44218)
              0.043569047 = queryNorm
            0.29521978 = fieldWeight in 455, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.4533744 = idf(docFreq=1398, maxDocs=44218)
              0.046875 = fieldNorm(doc=455)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)
    Abstract
    Digital images of cultural heritage (CH) contain rich semantic information. However, today's semantic representations of CH images fail to fully reveal the content entities and context within these vital surrogates. This paper draws on the fields of image research and digital humanities to propose a systematic methodology and a technical route for semantic enrichment of CH digital images. This new methodology systematically applies a series of procedures including: semantic annotation, entity-based enrichment, establishing internal relations, event-centric enrichment, defining hierarchy relations between properties text annotation, and finally, named entity recognition in order to ultimately provide fine-grained contextual semantic content disclosure. The feasibility and advantages of the proposed semantic enrichment methods for semantic representation are demonstrated via a visual display platform for digital images of CH built to represent the Wutai Mountain Map, a typical Dunhuang mural. This study proves that semantic enrichment offers a promising new model for exposing content at a fine-grained level, and establishing a rich semantic network centered on the content of digital images of CH.
  2. Wang, P.; Ma, Y.; Xie, H.; Wang, H.; Lu, J.; Xu, J.: "There is a gorilla holding a key on the book cover" : young children's known picture book search strategies (2022) 0.00 
    0.003309216 = product of:
  0.009927647 = sum of:
    0.009927647 = product of:
      0.029782942 = sum of:
        0.029782942 = weight(_text_:29 in 443) [ClassicSimilarity], result of:
          0.029782942 = score(doc=443,freq=2.0), product of:
            0.15326229 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.043569047 = queryNorm
            0.19432661 = fieldWeight in 443, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=443)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)
    Abstract
    There is no information search system can assist young children's known picture book search needs since the information is not organized according to their cognitive abilities and needs. Therefore, this study explored young children's known picture book search strategies and extracted picture book search elements by simulating a search scenario and playing a picture book search game. The study found 29 elements children used to search for known picture books. Then, these elements are classified into three dimensions: The first dimension is the concept category of an element. The second dimension is an element's status in the story. The third dimension indicates where an element appears in a picture book. Additionally, it revealed a young children's general search strategy: Children first use auditory elements that they hear from the adults during reading. After receiving error returns, they add visual elements that they see by themselves in picture books. The findings can not only help to understand young children's known-item search and reformulation strategies during searching but also provide theoretical support for the development of a picture book information organization schema in the search system.
  3. Qin, H.; Wang, H.; Johnson, A.: Understanding the information needs and information-seeking behaviours of new-generation engineering designers for effective knowledge management (2020) 0.00 
    0.0026235576 = product of:
  0.007870672 = sum of:
    0.007870672 = product of:
      0.023612017 = sum of:
        0.023612017 = weight(_text_:22 in 181) [ClassicSimilarity], result of:
          0.023612017 = score(doc=181,freq=2.0), product of:
            0.15257138 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043569047 = queryNorm
            0.15476047 = fieldWeight in 181, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=181)
      0.33333334 = coord(1/3)
  0.33333334 = coord(1/3)
    Date
    20. 1.2015 18:30:22

Authors

Themes