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Knowledge Discovery
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)
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)
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
Delroy Cameron, C. Ramakrishnan, Amit Sheth, Pablo N. Mendes, Christopher Thomas, Krishnaprasad Thirunarayan. Ontology Supported Knowledge Discovery in the Field of Human Performance and Cognition. Wright-Patterson Air Force Base; 2009.  (7.2 MB)
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)
Amit Sheth, M. Fisher. Semantic Enterprise Content Management. In 2004.  (381.38 KB)
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
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)
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)
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)
Knowledge graphs
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)
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)
knowledge-driven querying
Amir Asiaee, Prashant Doshi, Todd Minning, Satya Sahoo, Priti Parikh, Amit Sheth, Rick Tarleton. From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data. 9th International Conference on Data Integration in the Life Sciences (DILS '13). Montreal, Canada; 2013.  (301.35 KB)
Knowledge-enhanced Machine Learning
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)
Knowledge-enhanced NLP
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)
knowledgebase assisted extraction
Clemens Bertram, David Avant, Brian Hammond, Krysztof Kochut, Yashodhan Warke, Amit Sheth. Managing Semantic Content for the Web. IEEE Internet Computing. IEEE Internet Computing; 2002 ;:80-87.  (1.8 MB)
L.0
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
Language Understanding
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)
large emotion-labeled dataset
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)
Latent Dirichlet Allocation
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.  (754.03 KB)
linear dynamical system
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)
Linked Data
Kalpa Gunaratna, Sarasi Lalithsena, Amit Sheth. Alignment and Dataset Identification of Linked Data in Semantic Web. Issue Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2014 ;4(2):139-151.  (538.34 KB)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth. Types of Property Pairs and Alignment on Linked Datasets - A Preliminary Analysis. In I-SEMANTICS 2013 Posters & Demonstrations Track (ACM 2013). Messe Graz, Austria; 2013.  (519.61 KB)
Prateek Jain, Pascal Hitzler, Peter Z. Yeh, Kunal Verma, Amit Sheth. Linked Data is Merely More Data. 2010 AAAI Spring Symposium. Menlo Park, California: AAAI Press; 2010. p. 82-86.  (151.34 KB)
Linked Open Data
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)

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