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APIHut
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth, Flora Logan-Klumpler. Kino : A Generic Document Management System for Biologists Using SA-REST and Faceted Search. In Fifth IEEE International Conference on Semantic Computing (ICSC). Palo Alto, CA: Proceedings of the 5th IEEE International Conference on Semantic Computing; 2011.  (394.29 KB)
Big Data
Amit Sheth, Thirunarayan Krishnaprasad, Michael R. Partin. Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018.  (1.61 MB)
Chatbot for Healthcare
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
community detection
Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, Brandon Minnery. Knowledge Graph Enhanced Community Detection and Characterization. In Twelfth ACM International Conference on Web Search and Data Mining. Melbourne, Australia: ACM; 2019. p. 51-59.  (1.47 MB)
Conversational Agent
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
Digital Journalism
Sanjaya Wijeratne, Bahareh Heravi. A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter. In 1st Insight Student Conference. Dublin, Ireland: University College Dublin; 2014.  (85.5 KB)
health informatics
Ashutosh Jadhav. Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180.  (11.11 MB)
Implicit Entities
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Implicit Entity Recognition
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)
implicit relationships
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
information extraction
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Internet of Things (IoT)
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth, Juganaru-Mathieu M. Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 1935–1936.  (379.98 KB)
IoT for Personalized Health
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
Kino
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth, Flora Logan-Klumpler. Kino : A Generic Document Management System for Biologists Using SA-REST and Faceted Search. In Fifth IEEE International Conference on Semantic Computing (ICSC). Palo Alto, CA: Proceedings of the 5th IEEE International Conference on Semantic Computing; 2011.  (394.29 KB)
Knowledge Base
Wonjung Kim. Knowledge Based Personalization. 2001.  (1007.83 KB)
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
knowledge extraction
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth, Juganaru-Mathieu M. Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. In Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2018. p. 1935–1936.  (379.98 KB)
knowledge graph
Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, Brandon Minnery. Knowledge Graph Enhanced Community Detection and Characterization. In Twelfth ACM International Conference on Web Search and Data Mining. Melbourne, Australia: ACM; 2019. p. 51-59.  (1.47 MB)
Knowledge graphs
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.  (3.03 MB)
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)

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