The HWS hybrid web search |
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| Affiliation: | 1. Department of New Networks, Peng Cheng Laboratory, Shenzhen, 518000, China;2. School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, 518000, China;3. Department of Computer Science, St.Francis Xavier University, Antigonish, NS, B2G 2W5, Canada;4. College of Engineering, IT and Environment, Charles Darwin University, Casuarina NT 0810, Australia;1. Department of Computer Science, The George Washington University, Washington DC, USA;2. School of Computer Science and Technology, Shandong University, Qingdao, China;3. Institute of Information Engineering, Chinese Academy of Sciences and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China |
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| Abstract: | The widespread availability of machine understandable information on the Semantic Web offers some opportunities to improve traditional search. In this paper, we propose a hybrid web search architecture-HWS, which combines text search with semantic search to improve precision and recall. The components in HWS are described in detail, including several novel algorithms proposed to support the hybrid web search. |
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