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location extraction
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)
location-centric processing
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018.  (1.32 MB)
log likelihood
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)
Machine intelligence
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
machine learning algorithms
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)
Machine Perception
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)
Mental Health
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)
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)
Mental Health Disorder
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
Mobile Device
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)
Model theoretic semantics
Satya S. Sahoo, Krishnaprasad Thirunarayan, Olivier Bodenreider, Pascal Hitzler, Amit Sheth. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data. In SSDBM2010. The 22nd International Conference on Scientific and Statistical Database Management (SSDBM) 2010; 2010.  (810.08 KB)
Multi-level 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)
Multimodal exploitation
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
Natural Language Processing
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)
need matching
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018.  (1.32 MB)
Negation detection
Sujan Perera, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott. Implicit Entity Recognition in Clinical Documents. 4th Joint Conference on Lexical and Computational Semantics (*SEM) 2015. Denver, CO: Association for Computational Linguistics; 2015. p. 228-238.  (300.69 KB) (332.44 KB)
NLP shortcomings
Sujan Perera, Amit Sheth, Krishnaprasad Thirunarayan, Suhas Nair, Neil Shah. Challenges in Understanding Clinical Notes: Why NLP Engines Fall Short and Where Background Knowledge Can Help. International Workshop on Data management & Analytics for healthcaRE (DARE) at ACM Conference of Information and Knowledge Management (CIKM). Burlingame, California; 2013. p. 21-26.  (220.54 KB) (248.8 KB)
offensive Lexicon
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)
open street maps
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
OWL and Abductive Reasoning and Parsimonious Covering Theory
Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Pascal Hitzler. Representation of Parsimonious Covering Theory in OWL-DL. In 8th International Workshop on OWL: Experiences and Directions (OWLED 2011). San Francisco, California; 2011.
OWL and non-standard reasoning with ontologies and semantic social networks and ontology alignment and business applications and ontology engineering and user interfaces and Web data and knowledge and semantic Web services and semantic retrieval and descr
Diana Maynard, M. Paolucci, Amit Sheth, Timothy Finin, Steffen Staab, Krishnaprasad Thirunarayan, Mike Dean. The Semantic Web - ISWC 2008. In 7th International Semantic Web Conference, ISWC 2008; 2008.  (0 bytes)
PACE
Satya S. Sahoo, Krishnaprasad Thirunarayan, Olivier Bodenreider, Pascal Hitzler, Amit Sheth. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data. In SSDBM2010. The 22nd International Conference on Scientific and Statistical Database Management (SSDBM) 2010; 2010.  (810.08 KB)
parts-of-speech information
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)

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