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Sensors
Pankesh Patel, Muhammad Intizar Ali, Amit Sheth. On Using the Intelligent Edge for IoT Analytics. IEEE Intelligent Systems [Internet]. IEEE; 2017 ;32(5):64-69. http://ieeexplore.ieee.org/document/8070894/ (1.15 MB)
Utkarshani Jaimini. PhD Forum: Multimodal IoT and EMR Based Smart Health Application for Asthma Management in Children. In 2017 IEEE International Conference on Smart Computing (SMARTCOMP). Hong Kong, China: IEEE; 2017.  (119.37 KB)
Amelie Gyrard, Antoine Zimmermann, Amit Sheth. Building IoT based applications for Smart Cities: How can ontology catalogs help?. IEEE Internet of Things Journal. IEEE; 2018 ;5(5):3978-3990.  (598.21 KB)
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)
Sensor Web
Joshua Pschorr. SemSOS: an Architecture for Query, Insertion, and Discovery for Semantic Sensor Networks. Department of Computer Science & Engineering. [Fairborn]: Wright State University; 2013. p. 124.  (2 MB)
Sensor Observation Service
Joshua Pschorr. SemSOS: an Architecture for Query, Insertion, and Discovery for Semantic Sensor Networks. Department of Computer Science & Engineering. [Fairborn]: Wright State University; 2013. p. 124.  (2 MB)
sensor networks
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust Model for Semantic Sensor and Social Networks: A Preliminary Report. In National Aerospace & Electronics Conference (NAECON). Dayton, Ohio: In Proceedings of National Aerospace & Electronics Conference (NAECON); 2010.  (285.32 KB)
sensor data query processing
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)
sensor data quality
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
sensor data
Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth. An Efficient Bit Vector Approach to Semantics-based Machine Perception in Resource-Constrained Devices. In 11th International Semantic Web Conference. Boston, MA: Springer; 2012. p. 149-164.  (1.11 MB) (5.88 MB)
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)
Joshua Pschorr. SemSOS: an Architecture for Query, Insertion, and Discovery for Semantic Sensor Networks. Department of Computer Science & Engineering. [Fairborn]: Wright State University; 2013. p. 124.  (2 MB)
sensor analysis
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
Semi-supervised Machine Learning
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
semi-supervised learning
G. Haffari, Y. Wang, Shaojun Wang, G. Mori. A Rate Distortion Approach for Semi-Supervised Conditional Random Fields. In Advances in Neural Information Processing Systems; 2010.
Semi-structured information
METIS: Automating Metabase Creation from Multiple Heterogeneous Sources. University of Georgia; 2000.  (4.85 MB)
semantics-enhanced NLP
Raxit Goswam, Neil Shah, Amit Sheth. ezDI's semantics-enhanced linguistic, NLP, and ML approach for health informatics. In 14th International Semantic Web Conference (ISWC 2015). Bethlehem, PA; 2015.  (223.53 KB)
semantics-empowered physical-virtual systems
Amit Sheth. Semantics Scales Up: Beyond Search in Web 3.0. IEEE Internet Computing. 2011 ;15(6):3-6.
Semantics-based Smart Cities
Amelie Gyrard, Antoine Zimmermann, Amit Sheth. Building IoT based applications for Smart Cities: How can ontology catalogs help?. IEEE Internet of Things Journal. IEEE; 2018 ;5(5):3978-3990.  (598.21 KB)
Semantics Social data
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Knowledge Enabled Approach to Predict the Location of Twitter Users. Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann. 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201.  (790.96 KB)
Semantics of Trust
Krishnaprasad Thirunarayan. Trust Management: Multimodal Data Perspective, Invited Tutorial. In 2015 International Conference on Collaboration Technologies and Systems (CTS 2015). Atlanta, Georgia; 2015.  (3.23 MB)
Semantics of AI
R. Studer, A. Ankolekar, Pascal Hitzler. A Semantic Future for AI. IEEE Intelligent Systems. 2006 ;:8-9.  (80.16 KB)
semantics in Web 3.0
Amit Sheth. Semantics Scales Up: Beyond Search in Web 3.0. IEEE Internet Computing. 2011 ;15(6):3-6.
semantics empowered cyber-physical systems
Amit Sheth. Semantics Scales Up: Beyond Search in Web 3.0. IEEE Internet Computing. 2011 ;15(6):3-6.
Semantics
Matthew Perry, Amit Sheth, Farshad Hakimpour, Boanerges Aleman-Meza. Spatiotemporal-Thematic Data Processing in Semantic Web. In 2007.  (735.96 KB)
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 4, Knowledge Representation on the Semantic Web. In 2007.  (0 bytes)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Knowledge Enabled Approach to Predict the Location of Twitter Users. Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann. 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201.  (790.96 KB)
Peter Mika, Ramesh Jain, Amit Sheth. Ontologies Are Us: Emergent Semantics in Folksonomy Systems. In 2007.
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 5: Modeling and Aggregating Social Network Data. In 2007.
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 6: Developing Social-Semantic Applications. In 2007.
Amit Sheth. Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
Peter Mika, Ramesh Jain, Amit Sheth. Chapter 9, Ontologies Are Us: Emergent Semantics in Folksonomy Systems. In 2007.
Siva Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit Sheth. Entity Recommendations Using Hierarchical Knowledge Bases. Extended Semantic Web Conference 2015 (ESWC 2015). Portoroz, Slovenia; 2015.  (355.5 KB)
Peter Mika, Ramesh Jain, Amit Sheth. Developing Social-Semantic Applications. In 2007.
Arantza Ilarramendi, E. Mena, Amit Sheth, Vipul Kashyap. Domain Specific Ontologies for Semantic Information Brokering on the Global Information Infrastructure. In 1998.  (384.33 KB)

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