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transaction databases
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
training data
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)
Traffic events
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.  (3.03 MB)
traffic dynamics
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
traffic analytics
Pramod Anantharam, Payam Barnaghi, Amit Sheth. Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: modeling, annotation, integration, and perception. International Conference on Web Intelligence, Mining, and Semantics (WIMS '13). Madrid, Spain: ACM; 2013.  (154.65 KB)
Amit Sheth, Pramod Anantharam. Physical Cyber Social Computing: An Early 21st Century Approach to Computing for Human Experience. In International Conference on Web Intelligence, Mining and Semantics (WIMS '13). Madrid, Spain; 2013.  (1.53 MB)
Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth. Traffic Analytics using Probabilistic Graphical Models Enhanced with Knowledge Bases. In 2nd International Workshop on Analytics for Cyber-Physical Systems (ACS-2013) at SIAM International Conference on Data Mining (SDM 2013). Austin, Texas; 2013.  (1.45 MB)
Tractable Reasoning with Ontologies
Gary Berg-Cross, Isabel Cruz, Mike Dean, Timothy Finin, Pascal Hitzler, Hook Hua, Mark Gahegan, Krzysztof Janowicz, Naicong Li, Philip Murphy, Bryce Nordgren, Leo Obrst, Mark Schildhauer, Amit Sheth, Krishna Sinha, Anne Thessen, Nancy Wiegand, Ilya Zaslavsky. Semantics and Ontologies for EarthCube. In: Krzysztof Janowicz, Carsten Keßler, Tomi Kauppinen, Dave Kolas, Simon Scheider. Workshop on GIScience in the Big Data Age, in conjunction with the 7th International Conference on Geographic Information Science 2012 (GIScience 2012). Columbus, OH; 2012. p. 11-16.  (62.78 KB)
Topic modeling
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.  (754.03 KB)
time series
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
The Internet of Things
Charu Aggarwal, Naveen Ashish, Amit Sheth. The Internet of Things: A Survey from the Data-Centric Perspective. In: Charu Aggarwal. Managing and Mining Sensor Data. New York: Springer US; 2012. p. 383-428.
The Diagnostic and Statistical Manual of Mental Disorders – Fifth Edition (DSM-5)
Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Thirunarayam K, Amelie Gyrard, Randall Hand, Jyotishman Pathak, Amit Sheth. Question Answering for Suicide Risk Assessment using Reddit. In 13th IEEE International Conference on Semantic Computing. Newport Beach, California: IEEE; 2019.  (553.39 KB)
The authors propose that an organic workflow-process technology will power the evolution of information system architectures. The authors outline three likely stages of architectural evolution in the context of a networked economy and discuss critical gap
Amit Sheth, Wil Van Der Aalst, Ismailcem Budak Arpinar. Processes Driving the Networked Economy. IEEE Concurrency. 1999 ;.  (691.75 KB)
textual data
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
text mining
Delroy Cameron, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Olivier Bodenreider. Semantic Predications for Complex Information Needs in Biomedical Literature. 2011 IEEE International Conference on Bioinformatics and Biomedicine. Atlanta, GA: IEEE; 2011.
Ashutosh Jadhav, Swapnil Soni, Amit Sheth. Social Health Signals. In International Semantic Web Conference 2015 (ISWC 2015). Bethlehem, Pennsylvania; 2015.  (183.28 KB)
Cartic Ramakrishnan, Meenakshi Nagarajan, Amit Sheth. Text Analytics for Semantic Computing - the good, the bad and the ugly. International Conference on Semantic Computing, 2008; 2008.  (12.09 MB)
Ramakanth Kavuluru, Christopher Thomas, Amit Sheth, Victor Chan, Wenbo Wang, Gary Alan Smith. An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains. In IHI 2012- 2nd ACM SIGHIT International Health Informatics Symposium. Miami Florida; 2012.  (1.3 MB)
Delroy Cameron, Ramakanth Kavuluru, Olivier Bodenreider, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan. Semantic Predications for Complex Information Needs in Biomedical Literature. In 5th International Conference on Bioinformatics and Biomedicine (BIBM2011). Atlanta GA: 2011 IEEE International Conference on Bioinformatics and Biomedicine; 2011.  (471.3 KB)
Tensorflow
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018.  (1.61 MB)
temporal selection
Matthew Perry, Prateek Jain, Amit Sheth. SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries. In Geospatial Semantics and the Semantic Web. New York: Springer; 2011. p. 61-86.  (518.48 KB)
Temporal Relationships
Amit Sheth, Matthew Perry. Traveling the Semantic Web through Space, Theme and Time. IEEE Educational Activities Department. 2008 ;:81-86.  (749.75 KB)
Temporal Ontology
Amit Sheth, Matthew Perry. Traveling the Semantic Web through Space, Theme and Time. IEEE Educational Activities Department. 2008 ;:81-86.  (749.75 KB)
temporal join
Matthew Perry, Prateek Jain, Amit Sheth. SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries. In Geospatial Semantics and the Semantic Web. New York: Springer; 2011. p. 61-86.  (518.48 KB)
temporal filter
Matthew Perry, Prateek Jain, Amit Sheth. SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries. In Geospatial Semantics and the Semantic Web. New York: Springer; 2011. p. 61-86.  (518.48 KB)
template 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)
Taxonomy
Boanerges Aleman-Meza, Amit Sheth, Ismailcem Budak Arpinar, Delroy Cameron, Sheron Decker. A Taxonomy-based Model for Expertise Extrapolation. In 4th International Conference on Semantic Computing (ICSC2010). Pittsburgh PA, USA; 2010.  (659.87 KB)
Taalee
Amit Sheth. Content Management, Metadata and Semantic Web. In Content Management, Metadata and Semantic Web. 2001.
synthetic microblog corpus
Andrew Hampton, Shreyansh Bhatt, Alan Smith, Jeremy Brunn, Hemant Purohit, Valerie Shalin, John Flach, Amit Sheth. Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise. In 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017). Albi, Occitanie Pyrénées-Méditerranée, France; 2017.  (1.56 MB)
SWETO test-bed
Amit Sheth, C. Halaschek, Boanerges Aleman-Meza, Ismailcem Budak Arpinar. Discovering and Ranking Semantic Associations over a Large RDF Metabase. In Discovering and Ranking Semantic Associations over a Large RDF Metabase. 30th International Conference on Very Large Data Bases; 2004. p. 1317-1320.  (568.79 KB)

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