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	Wang, Haixun     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 5 reviews       Semantic bootstrapping: a theoretical perspective Wu W., Li H., Wang H., Zhu K. IEEE Transactions on Knowledge and Data Engineering 29(2): 446-457, 2017.  Type: Article Language semantics can be seen as the natural language expressions of knowledge during learning, that is, during the knowledge acquisition process. Because learning is a bootstrapping process, it is natural for language semantics evalu...... Jun 27 2017     Graph similarity search on large uncertain graph databases Yuan Y., Wang G., Chen L., Wang H. The VLDB Journal: The International Journal on Very Large Data Bases 24(2): 271-296, 2015.  Type: Article Have you ever, as a developer, come across problems and algorithms involving searching for patterns in a graph database? Are you interested in network science, for example, social network analysis, planning and designing optimal teleco...... Mar 22 2016     A distributed graph engine for web scale RDF data Zeng K., Yang J., Wang H., Shao B., Wang Z. Proceedings of the VLDB Endowment 6(4): 265-276, 2013.  Type: Article Designing a scalable resource description framework (RDF) data graph engine is a difficult task. In this paper, the authors present Trinity.RDF, a distributed memory-based graph engine for web-scale RDF data. This approach stores RDF d...... Mar 26 2014     Managing and mining graph data Aggarwal C., Wang H., Springer Publishing Company, Incorporated, New York, NY, 2010. 600 pp.  Type: Book (978-1-441960-44-3) The proliferation of computer and communications technologies over the last 20 years has enabled us to produce and store data at an unprecedented pace. The downside of this revolution is that we now need sophisticated techniques (algor...... Dec 3 2010     Recent progress on selected topics in database research: a report by nine young Chinese researchers working in the United States Chen Z., Li C., Pei J., Tao Y., Wang H., Wang W., Yang J., Yang J., Zhang D. Journal of Computer Science and Technology 18(5): 538-552, 2003.  Type: Article The results of recent, loosely interrelated research by each of the nine authors are compiled in this paper. It is organized by researcher name, and there is very little overlap between the sections....... Apr 13 2004
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