Building knowledge graph from public data for predictive analysis

Author:

Duan Weiwei1,Chiang Yao-Yi1

Affiliation:

1. University of Southern California

Publisher

ACM Press

Reference17 articles.

1. Seonho, K., Woondong, Y., Woondong, Y., Byong-Youl, C., Waqas, R., & Jaewoo, K. (2011). A Semi-Automatic Emerging Technology Trend Classifier Using SCOPUS and PATSTAT. InSymposium on Information and Knowledge Management.

2. Foresight and Understanding from Scientific Exposition (FUSE): 2013. http://www.iarpa.gov/images/press/28_iarpa_fuse_research.pdf. Accessed: 2016-03-10.

3. Kim, J., Hwang, M., Jeong, D. H., & Jung, H. (2012). Technology trends analysis and forecasting application based on decision tree and statistical feature analysis. Expert Systems with Applications, 39(16), 12618--12625.

4. Lee, M., Lee, S., Kim, J., Seo, D., Kim, P., Jung, H., ... & Sung, W. K. (2011). InSciTe Advanced: Service for Technology Opportunity Discovery. In International Semantic Web Conference-Semantic Web Challenge, Germany.

5. Kim, J., Hwang, M., Jeong, D. H., & Jung, H. (2012). Technology trends analysis and forecasting application based on decision tree and statistical feature analysis. Expert Systems with Applications, 39(16), 12618--12625.

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