A Comparison of Knowledge Extraction Tools for the Semantic Web
Gangemi, A., 2013. A Comparison of Knowledge Extraction Tools for the Semantic Web. In P. Cimiano et al., eds. The Semantic Web: Semantics and Big Data. Lect...
Recent posts
Receiver Operating Characteristic Analysis - A Primer
Eng, J., 2005. Receiver Operating Characteristic Analysis: A Primer1. Academic Radiology, 12(7), pp.909—916. </p> Introduction </p> This ar...
Automatic knowledge extraction from documents
Fan, J., Kalyanpur, A., Gondek, D. C., & Ferrucci, D. A. (2012). Automatic knowledge extraction from documents. IBM Journal of Research and Development, ...
Techniques and applications for sentiment analysis
Feldman, R. (2013). Techniques and applications for sentiment analysis. Communications of the ACM, 56(4), 82—89. doi:10.1145/2436256.2436274 The articl...
Mining comparative opinions from customer reviews for Competitive Intelligence
Xu, K., Liao, S. S., Li, J., & Song, Y. (2011). Mining comparative opinions from customer reviews for Competitive Intelligence. Decision Support Systems...
Ensemble Semantics for Large-scale Unsupervised Relation Extraction
Min, B. et al., 2012. Ensemble semantics for large-scale unsupervised relation extraction. In Proceedings of the 2012 Joint Conference on Empirical Methods ...
Checking Facts
The Web and social media produce massive amounts of data at different levels of quality and trustworthiness. New research focuses on creating methods for che...
Relation Extraction and the Influence of Automatic Named-Entity Recognition
Giuliano, C., Lavelli, A. & Romano, L., 2007. Relation extraction and the influence of automatic named-entity recognition. ACM Transactions on Speech an...
Collective Cross-Document Relation Extraction Without Labelled Data
Yao, L., Riedel, S. & McCallum, A., 2010. Collective cross-document relation extraction without labelled data. In Proceedings of the 2010 Conference on ...
Social Network Analysis and Mining for Business Applications
Bonchi, F., Castillo, C., Gionis, A., & Jaimes, A. (2011). Social Network Analysis and Mining for Business Applications. ACM Transactions on Intelligent ...
Meme ranking to maximize post virality in microblogging platforms
Bonchi, F., Castillo, C., & Ienco, D. (2013). Meme ranking to maximize posts virality in microblogging platforms. Journal of Intelligent Information Syst...
Catching a Viral Video
Broxton, Tom, Yannet Interian, Jon Vaver, and Mirjam Wattenhofer. Catching a Viral Video. Journal of Intelligent Information Systems 40, no. 2 (April 1, 201...
Hazy: Making It Easier to Build and Maintain Big-Data Analytics
Kumar, Arun, Feng Niu, and Christopher Ré. Hazy: Making It Easier to Build and Maintain Big-data Analytics. Communications of the ACM 56, no. 3...
Management Support with Structured an Unstructured Data - An Integrated Business Intelligence Framework
Baars, Henning, and Hans-George Kemper. Management Support with Structured and Unstructured Data-An Integrated Business Intelligence Framework. Information...
Data Warehousing and Analytics Infrastructure at Facebook
Thusoo, A. et al., 2010. Data warehousing and analytics infrastructure at facebook. In Proceedings of the 2010 ACM SIGMOD International Conference on Managem...