Search (10 results, page 1 of 1)

  • × author_ss:"Wang, H."
  1. Wang, H.; Liu, Q.; Penin, T.; Fu, L.; Zhang, L.; Tran, T.; Yu, Y.; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data (2009) 0.03
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    Abstract
    The Web of Data keeps growing rapidly. However, the full exploitation of this large amount of structured data faces numerous challenges like usability, scalability, imprecise information needs and data change. We present Semplore, an IR-based system that aims at addressing these issues. Semplore supports intuitive faceted search and complex queries both on text and structured data. It combines imprecise keyword search and precise structured query in a unified ranking scheme. Scalable query processing is supported by leveraging inverted indexes traditionally used in IR systems. This is combined with a novel block-based index structure to support efficient index update when data changes. The experimental results show that Semplore is an efficient and effective system for searching the Web of Data and can be used as a basic infrastructure for Web-scale Semantic Web search engines.
    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S1570826809000262.
    Source
    Web semantics: science, services and agents on the World Wide Web. 7(2009) no.3, S.177-188
  2. Wang, H.; Hong, M.: Supervised Hebb rule based feature selection for text classification (2019) 0.01
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    Source
    Information processing and management. 56(2019) no.1, S.167-191
  3. 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) 0.01
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    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.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.1, S.45-57
  4. Wang, H.; Liao, S.; Liao, L.: ¬An agent-based framework for Web query answering (2000) 0.00
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    Source
    Journal of information science. 26(2000) no.2, S.101-109
  5. Wang, H.; Wang, C.: Ontologies for universal information systems (1995) 0.00
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    Source
    Journal of information science. 21(1995) no.3, S.232-239
  6. Xie, M.; Wang, H.; Goh, T.N.: Quality dimensions of Internet search engines (1998) 0.00
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    Source
    Journal of information science. 24(1998) no.5, S.365-372
  7. 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
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    Date
    20. 1.2015 18:30:22
  8. Watters, C.; Wang, H.: Rating new documents for similarity (2000) 0.00
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    Source
    Journal of the American Society for Information Science. 51(2000) no.9, S.793-804
  9. Haraty, M.; Wang, Z.; Wang, H.; Iqbal, S.; Teevan, J.: Design and in-situ evaluation of a mixed-initiative approach to information organization (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2211-2224
  10. Wang, H.; Song, Y.-Q.; Wang, L.-T.: Memory model for web ad effect based on multimodal features (2020) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.1, S.16-28