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Frequency estimation
Angela Maduko, Kemafor Anyanwu, Paul Schliekelman, Amit Sheth. Graph Summaries for Subgraph Frequency Estimation. In 5th European Semantic Web Conference (ESWC2008). Tenerife, Spain; 2008.  (329.27 KB)
forms based querying
Amir Asiaee, Prashant Doshi, Todd Minning, Satya Sahoo, Priti Parikh, Amit Sheth, Rick Tarleton. From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data. 9th International Conference on Data Integration in the Life Sciences (DILS '13). Montreal, Canada; 2013.  (301.35 KB)
Formal Semantics
Cartic Ramakrishnan, Amit Sheth, Christopher Thomas. Semantics for The Semantic Web: the Implicit, the Formal and the Powerful. International Journal on Semantic Web & Information Systems. 2005 ;1(1):1-18.  (2.85 MB) (1.83 MB)
flood mapping
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018.  (1.32 MB)
filtering social media big data
Amit Sheth, Pavan Kapanipathi. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78.  (342.08 KB)
feature extraction
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
feature combinations
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Fantasy Sports
Shreyansh Bhatt, Manas Gaur, Beth Bullemer, Valerie Shalin, Amit Sheth, Brandon Minnery. Enhancing crowd wisdom using explainable diversity inferred from social media. In IEEE/WIC/ACM International Conference on Web Intelligence. Santiago, Chile: IEEE; 2018.  (313.8 KB)