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Smart Data
Payam Barnaghi, Amit Sheth, Cory Henson. From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. IEEE Intelligent Systems. 2013 ;28(6):6-11.  (218.02 KB)
Mahdavinejad MSaeid, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi, Amit Sheth. Machine Learning for Internet of Things Data Analysis: A Survey. Digital Communication and Networks [Internet]. ELSEVIER; 2017 ;. http://www.sciencedirect.com/science/article/pii/S235286481730247X (673.83 KB)
Amelie Gyrard, Pankesh Patel, Amit Sheth, Martin Serrano. Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. IEEE; 2016 ;32(5).  (379.84 KB)
Amit Sheth. Transforming Big Data into Smart Data: Deriving Value via Harnessing Volume, Variety and Velocity Using Semantics and Semantic Web. 2013.
Amit Sheth. Transforming Big Data into Smart Data for Smart Energy: Deriving Value via harnessing Volume, Variety and Velocity. 2013.
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
Maryam Panahiazar, Vahid Taslimitehrani, Ashutosh Jadhav, Jyotishman Pathak. Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, and Use Cases. 2014 IEEE International Conference on Big Data. Washington, D.C.: IEEE; 2014. p. 790-795.  (1.72 MB)
Smart buildings
Amit Sheth, Biplav Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)
small training datasets
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)
Slang Sentiment Identification
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Amit Sheth. Multimodal Social Intelligence in a Real-Time Dashboard System. VLDB Journal Special Issue on Data Management and Mining for Social Networks and Social Media. Springer; 2010 ;.  (1007.63 KB)
situational awareness
Amit Sheth. Semantic Web techniques empower perception and comprehension in Cyber Situational Awareness?. In Fairfax, VA: ARO Cyber Situational Awareness Workshop; 2007.
Single-Agent
Utkarshani Jaimini, V. Panchal. Swarm Intelligence computational paradigm. 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA). Bangalore, India: IEEE; 2013. p. 1 - 8.
simulation and modeling
John Miller, Amit Sheth, Krzysztof Kochut. Perspectives in Modeling: Simulation, Database and Workflow. In Conceptual Modeling: Lecture Notes in Computer Science. Berlin: Springer Berlin Heidelberg; 1999. p. 154-167.  (444.69 KB)
simply showing them as a long list often provides poor overview. With a goal of presenting users with reduced sets of relevant citations
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;.  (0 bytes)
Sheth
A. Elmagarmid, Amit Sheth. Welcome to Prof. Amit Sheth. Springer Science+Business Media. 2007 ;105-106.
shadow-like image capture
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz. A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
sexual
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth. A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. In Proceedings of the 10th {ACM} Conference on Web Science, WebSci 2018, Amsterdam, The Netherlands, May 27-30, 2018. Amsterdam, The Netherlands: ACM; 2018. p. 33–36.  (398.25 KB)
Services Research Lab at the Knoesis center and the LSDIS lab at University of Georgia have played a significant role in advancing the state of research in the areas of workflow management
Ajith Ranabahu, Amit Sheth, Karthik Gomadam. Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST. 2008 ;.  (0 bytes)
Service-oriented Architectures and Computing
Karthik Gomadam, Anupam Joshi, Amit Sheth. Mobile Semantic Computing. 2nd International Conference on Semantic Computing (ICSC2008); 2008.  (39 KB)
Service oriented Middleware
Krzysztof Kochut, Jorge Cardoso, Amit Sheth, M. Kang, John Miller. QoS for Service-oriented Middleware. In 6th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2002), session Web Services and Grid Computing. Orlando, Florida,USA; 2002. p. 528-534.  (222.18 KB)
Service composition provides a flexible way to quickly enable new application functionalities in next generation networks. Composite services are turned to be more and more complex
John Miller, Senthilanand Chandrasekaran, G Silver, Ismailcem Budak Arpinar, Amit Sheth. Performance Analysis and Simulation of Composite Web Services. 2003 ;.  (197.72 KB)
Service composition and Execution Tool (SCET)
Senthilanand Chandrasekaran, John Miller, Gregory Silver, Ismailcem Budak Arpinar, Amit Sheth. Composition, Performance Analysis and Simulation of Web Services. Electronic Markets: The International Journal of Electronic Commerce and Business Media. 2003 ;.  (197.72 KB)
service and data integration
Amit Sheth, Z. Maamr, Q. Z. Sheng, Biplav Srivastava, Ullas Nambiar, S. Elnaffar. Proceedings of the 2008 International Workshop on Context Enabled Source and Service Selection, Integration and Adaptation. In Proceedings of the 2008 International Workshop on Context Enabled Source and Service Selection, Integration and Adaptation. Beijing, China; 2008.  (53.21 KB)
Sentiment-Emotion-Intent Analysis
Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.  (1.18 MB)
Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253.  (2.21 MB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, Ismailcem Budak Arpinar. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. p. 39-79.  (514.1 KB)
Sentiment Expression
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
Sentiment Analysis
Roberto Lourenco, Adriano Veloso, Adriano Pereira, Wagner Meira, Renato Ferreira, Srinivasan Parthasarthy. Economically-efficient Sentiment Stream Analysis. 37th international ACM SIGIR Conference on Research & Development in Information Retrieval. Gold Coast, Australia: ACM; 2014. p. 637-646.
Yiye Ruan. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics. Computer Science and Engineering. [Columbus]: Ohio State University; 2015. p. 206.
Wenbo Wang, Lu Chen, Ming Tan, Shaojun Wang, Amit Sheth. Discovering Fine-grained Sentiment in Suicide Notes. Book: Biomedical Informatics Insights. 2012 ;:137-145.  (234.32 KB)
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
Raminta Daniulaityte, Lu Chen, Francois R. Lamy, Robert Carlson, Krishnaprasad Thirunarayan, Amit Sheth. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
Sensors Three-dimensional displays
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.

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