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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)
we proposed a Stochastic Petri Net based approach for modeling web service composition constructs and calculating the equivalent delay time of the composite web service. Four basic constructs: sequence
John Miller, Senthilanand Chandrasekaran, G Silver, Ismailcem Budak Arpinar, Amit Sheth. Performance Analysis and Simulation of Composite Web Services. 2003 ;.  (197.72 KB)
we present a brief discussion on the various contributions of METEOR-S including SAWSDL
Ajith Ranabahu, Amit Sheth, Karthik Gomadam. Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST. 2008 ;.  (0 bytes)
we integrate gene and pathway information and show how three complex biological queries can be answered by the integrated knowledge base.
Satya Sahoo, Olivier Bodenreider, Joni Rutter, Karen Skinner, Amit Sheth. An Ontology-Driven Semantic Mashup of Gene and Biological Pathway Information: Application to the Domain of Nicotine Dependence. 2008 ;.
Water resources
Amit Sheth, Biplav Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. IEEE; 2018 ;22(1):4-7.  (230.68 KB)
Voting Theory
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)
Visual Information Retrieval
Kshitij Shah, Amit Sheth. InfoHarness: Managing Distributed, Heterogeneous Information. IEEE Internet Computing. 1999 ;:18-28.  (314.42 KB)
Verb Relationship
Wenbo Wang, Christopher Thomas, Amit Sheth, Victor Chan. Pattern-Based Synonym and Antonym Extraction. In 48th ACM Southeast Conference. Oxford, Mississippi; 2010.  (98.05 KB)
velocity in Big Data
Amit Sheth, Pavan Kapanipathi. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78.  (342.08 KB)
Vector Space Models and Supervised Document Classification and Background domain knowledge and Ranking semantic relationships
Meenakshi Nagarajan, Mustafa Uysal, Amit Sheth, Arif Merchant, Kimberly Keeton, Marcos Aguilera. Altering Document Term Vectors for Classification - Ontologies as Expectations of Co-occurrence. In 16th World Wide Web Conference (WWW2007). Banff, Canada: 16th World Wide Web Conference (WWW2007); 2007.  (1.51 MB)
user interfaces and Human Computer Interaction
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)
User Categorization
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
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)
UMLS MetaMap
Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak. What Information about Cardiovascular Diseases do People Search Online?. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014.  (121.33 KB)
Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak. Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014.  (297.46 KB)
Ubiquitous Computing
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.
Type assignment
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone P. Ponzetto, Christoph Lange. 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100.  (1.13 MB) (488 KB)
twitter traffic event
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)
Twitter Profile Identification
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. p. 685-692.  (2.02 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
twitter features
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)