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Amit Sheth.
Semantics for the Real World and the Natural World in the Model World. In Semantics for the Real World and the Natural World in the Model World. 2005.
Amit Sheth.
Semantics Powered Bioinformatics: Semantic Search, Integration, Processes and Analytics. In BISC FLINT-CIBI:International Joint Workshop on Soft Computing for Internet and Bioinformatics2003,; 2003.
(0 bytes) Amit Sheth.
Semantics to energize the full services spectrum: Ontological approach to better exploit services at technical and business levels. In Biennial Beta Conference 2006: Management of Service Operations. Eindhoven, Netherlands: Management of Service Operations, Eindhoven, Netherlands; 2006.
(1.26 MB)
(240.94 KB) Cory Henson.
A Semantics-based Approach to Machine Perception. Department of Engineering and Computer Science. [Dayton]: Wright State University; 2013.
(4.33 MB) Vipul Kashyap, Amit Sheth.
Semantics-based Information Brokering. In Semantics-based Information Brokering. Hong Kong, China : Proceedings of the 3rd International Conference on Information and Knowledge Management, November 1994; 1994. p. 363-370.
(196.95 KB) Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran.
A Semantics-Based Measure of Emoji Similarity. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017.
(2.34 MB) Kalpa Gunaratna.
Semantics-based Summarization of Entities in Knowledge Graphs. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2017. p. 145.
(3.81 MB) Delroy Cameron, Pablo N. Mendes, Amit Sheth, Victor Chan.
Semantics-Empowered Text Exploration for Knowledge Discovery. In 48th ACM Southeast Conference Oxford Mississippi, April 15-17, 2010. Oxford, Mississippi: ACM; 2010.
(582.78 KB) Mathew A, Sheth A, Deligiannidis L.
SemanticSpy: Suspect Tracking Using Semantic Data in a Multimedia Environment. In Proceedings of the 4th IEEE International Conference on Intelligence and Security Informatics [Internet]. San Diego, CA: Springer-Verlag; 2006. p. 492–497.
http://dx.doi.org/10.1007/11760146_46
(271.17 KB) Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Bajaj G, 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) 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) Cory Henson.
Sensor Data and Perception: Can Sensors Play 20 Questions?. Dagstuhl Seminar 10042: Semantic Challenges in Sensor Networks. Dagstuhl, Germany: Schloss Dagstuhl; 2010.
(250.48 KB)