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AMT
2009
Springer

Unifying Web-Scale Search and Reasoning from the Viewpoint of Granularity

11 years 12 months ago
Unifying Web-Scale Search and Reasoning from the Viewpoint of Granularity
Considering the time constraints and Web scale data, it is impossible to achieve absolutely complete reasoning results. Plus, the same results may not meet the diversity of user needs since their expectations may differ a lot. One of the major solutions for this problem is to unify search and reasoning. From the perspective of granularity, this paper provides various strategies of unifying search and reasoning for effective problem solving on the Web. We bring the strategies of multilevel, multiperspective, starting point from human problem solving to Web scale reasoning to satisfy a wide variety of user needs and to remove the scalability barriers. Concrete methods such as network statistics based data selection and ontology supervised hierarchical reasoning are applied to these strategies. The experimental results based on an RDF dataset shows that the proposed strategies are potentially effective.
Yi Zeng, Yan Wang, Zhisheng Huang, Ning Zhong
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AMT
Authors Yi Zeng, Yan Wang, Zhisheng Huang, Ning Zhong
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