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Iot Data Service Access
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
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)
Janus ontology framework
Jun Zhao, Satya S. Sahoo, Paolo Missier, Amit Sheth, Carole Goble. Extending Semantic Provenance into the Web of Data. Provenance in Web Applications. 2011 ;:40-48.  (517.86 KB)
JSIM simulator
Senthilanand Chandrasekaran, John Miller, Gregory Silver, Ismailcem Budak Arpinar, Amit Sheth. Composition, Performance Analysis and Simulation of Web Services. Electronic Markets: The International Journal of Electronic Commerce and Business Media. 2003 ;.  (197.72 KB)
Amit Sheth. Content Management, Metadata and Semantic Web. In Content Management, Metadata and Semantic Web. 2001.
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 acquisition
Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair. Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare. In International Conference on Bioinformatics and Biomedicine. Philadelphia, USA: International Conference on Bioinformatics and Biomedicine; 2012.  (799.91 KB)
Knowledge Discovery
Delroy Cameron, Amit Sheth, C. Ramakrishnan, Pablo N. Mendes, Krishnaprasad Thirunarayan, Christopher Thomas. Ontology Supported Knowledge Discovery in the Field of Human Performance and Cognition. Wright-Patterson Air Force Base; 2009.  (7.2 MB)
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
Devan Palaniswami, Matthew Eavenson, Ismailcem Budak Arpinar, Boanerges Aleman-Meza, Amit Sheth. Semantic Analytics in Intelligence: Applying Semantic Association Discovery to Determine Relevance of Heterogeneous Documents. In 2006.  (1.1 MB)
Amit Sheth, M. Fisher. Semantic Enterprise Content Management. In 2004.  (381.38 KB)
Amit Sheth, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Chris Halaschek, Cartic Ramakrishnan, Clemns Bertram, Yashodhan Warke, David Avant, F. S. Arpinar, Kemafor Anyanwu, Krys Kochut. Semantic Association Identification and Knowledge Discovery for National Security Applications. Journal of Database Management, Special Issue: Database Technology for Enhancing National Security. IGI Global; 2005 ;16(1):33-53.  (875.31 KB)
William Milnor, Matthew Perry, Cartic Ramakrishnan, Amit Sheth. Discovering Informative Connection Subgraphs in Multi-Relational Graphs. Special Issue: Link Mining, SIGKDD Exploration, 7 (no. 2). SIGKDD Exploration; 2005 ;:56-63.  (1.77 MB)
Knowledge Engineering
Pramod Anantharam, Payam Barnaghi, Amit Sheth. Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: modeling, annotation, integration, and perception. International Conference on Web Intelligence, Mining, and Semantics (WIMS '13). Madrid, Spain: ACM; 2013.  (154.65 KB)
Knowledge Exploration
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)
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
Alshargi F, Saeedeh Shekarpour, Tommaso Soru, Amit Sheth. Metrics for Evaluating Quality of Embeddings for Ontological Concepts. In AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering . Palo Alto, California : AAAI; 2019.  (824.92 KB)
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)
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)
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)
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
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)