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Conference Proceedings
Vinh Nguyen, Olivier Bodenreider, Thomas Rindflesch, Amit Sheth. iExplore: A provenance-based application for exploring biomedical knowledge. 8th International Conference on Data Integration in the Life Sciences (DILS 2012). College Park, MD; 2012.  (155.11 KB)
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. Hierarchical Interest Graph from Tweets. Kyuseok Shim, Torsten Suel. 3rd International World Wide Web Conference. Seoul, South Korea: ACM; 2014.  (248.6 KB)
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)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone P. Ponzetto, Christoph Lange. 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100.  (1.13 MB) (488 KB)
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)
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)
Siva Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit Sheth. Entity Recommendations Using Hierarchical Knowledge Bases. Extended Semantic Web Conference 2015 (ESWC 2015). Portoroz, Slovenia; 2015.  (355.5 KB)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: Building a Machine Readable Sense Inventory for Emoji. Emma Spiro, Yong-Yeol Ahn. 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA: Springer International Publishing; 2016. p. 527-541.  (712.1 KB)
Pablo Mendes, Pavan Kapanipathi, Delroy Cameron, Amit Sheth. Dynamic Associative Relationships on the Linked Open Data Web. WebSci10, Extending the Frontiers of Society On-Line Conference. Raleigh, NC; 2010.  (426.57 KB)
Vinh Nguyen, Olivier Bodenreider, Amit Sheth. Don't like RDF Reification? Making Statements about Statements using Singleton Property. 23rd International conference on World Wide Web (WWW '14). New York, NY: ACM; 2014. p. 759-770.  (382.61 KB)
Ajith Ranabahu, Michael Maximilien, Amit Sheth, Krishnaprasad Thirunarayan. A Domain Specific Language for Enterprise Grade Cloud-Mobile Hybrid Applications. Proceedings of the 11th Workshop on Domain-Specific Modeling. Portland, Oregon: ACM; 2011. p. 77-84 .  (838.25 KB)
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)
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Cursing in English on Twitter. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). New York, NY: ACM; 2014. p. 415-425.
Prateek Jain, Peter Yeh, Kunal Verma, Reymonrod Vasquez, Mariana Damova, Pascal Hitzler, Amit Sheth. Contextual Ontology Alignment of LOD with an Upper Ontology: A Case Study with Proton. ESWC 2011. Heraklion, Greece: Springer; 2010. p. 80-92.
Paul Anderson, Ashwin Manjunatha, Ajith H. Ranabahu, Nicholas J. DelRaso, Nicholas V. Reo, Amit Sheth, Michael Raymer. Cloud-based Map-Reduce Architecture for Nuclear Magnetic Resonance based Metabolomics. 7th Microsoft Research eScience Workshop. 2010.
Fabrizio Orlandi, Pavan Kapanipathi, Amit Sheth, Alexandre Passant. Characterising Concepts of Interest Leveraging Linked Data and the Social Web. 2013 IEEE/WIC/ACM International Conference on Web Intelligence. Atlanta, GA; 2013. p. 519-526.  (260.38 KB)
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)
Shreyansh Bhatt, Hemant Purohit, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach. Assisting Coordination during Crisis: A Domain Ontology Based Approach to Infer Resource Needs from Tweets. 2014 ACM Conference on Web Science. New York, NY: ACM; 2014. p. 297-298.  (478.64 KB)
Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak. Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748.  (373.5 KB)
Amit Krishna, Prateek Jain, Pascal Hitzler, Peter Z. Yeh, Kunal Verma, Amit Sheth, Mariana Damova. Alignment-based Querying of Linked Open Data. ODBASE 2012. Rome, Italy; 2012. p. 807-824.  (287.23 KB)
Justin Martineau, Lu Chen, Doreen Cheng, Amit Sheth. Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy. 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). Baltimore, MD; 2014.  (179.11 KB)
Conference Paper
Amit Sheth, Clemns Bertram, K. Shah, S. Mudumbai, K. Parasuraman. ZEBRA Image Access System. In ZEBRA Image Access System. Orlando, Florida,USA; 1998.  (78.58 KB)
Wenbo Wang, Lei Duan, Anirudh Koul, Amit Sheth. YouRank: Let User Engagement Rank Microblog Search Results. In 8th International AAAI Conference on Weblogs and Social Media . Ann Arbor, MI; 2014.  (716.37 KB)
John Miller, Jorge Cardoso, S Chandrasekaran, Gregory Silver, Amit Sheth. XML-Based Modeling and Simulation: Web Service Technologies and their Synergy with Simulation. In Winter Simulation Conference WSC02 (2002). San Diego, California, USA; 2002.  (182.52 KB)
Amit Sheth, Karthik Gomadam, Kunal Verma. WSDL'S: Specification, Tools, Use Cases and Applications. In WSDL'S: Specification, Tools, Use Cases and Applications. 2006.
Amit Sheth, Karthik Gomadam, Kunal Verma. WSDL'S: Specification, Tools, Use Cases and Applications. In Semantic Technology Conference; 2006.
Ullas Nambiar, S. Elnaffar, Zakaria Maamar, Biplav Srivastava, Q. Z. Sheng, Amit Sheth. WS3: International Workshop on Context-enabled Source and Service Selection, Integration and Adaptation. In WS3: International Workshop on Context-enabled Source and Service Selection, Integration and Adaptation. 2008.  (0 bytes)
Sanjaya Wijeratne, Lakshika Balasuriya, Derek Doran, Amit Sheth. Word Embeddings to Enhance Twitter Gang Member Profile Identification. In IJCAI Workshop on Semantic Machine Learning (SML 2016). New York City, NY: CEUR-WS; 2016. p. 18-24.  (265.83 KB) (6.23 MB)
Hemant Purohit, Shreyansh Bhatt, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach. With Whom to Coordinate, Why and How in Ad-hoc Social Media Communities during Crisis Response. In 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2014). University Park, PA; 2014.  (773.18 KB)
Sanjay Chaudhary, Amit Sheth, Kamlesh Lulla. Why Gujarat Needs Much Better Higher Education & Research to Succeed in Knowledge Economy & What We Can Do About It?. In Round Table on Regulatory & Policy Reform for Higher Education in Gujarat, in conjunction with the International Conference on Reconnecting Gujarati Diaspora with its Homeland: Contribution to its Development with a Focus on Building a Knowledge Society; 2009.
Raminta Daniulaityte, Robert Carlson, Delroy Cameron, Gary Alan Smith, Amit Sheth. When Less is More: A Web-Based Study of User Beliefs about Buprenorphine Dosing in Self-Treatment of Opioid Withdrawal Symptoms. In College on Problems of Drug Dependence (CPDD 2014). San Juan, Puerto Rico; 2014.  (477.97 KB)
Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit Sheth, I. Budak Arpinar. "What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Santiago, Chile: IEEE; 2018.  (902.96 KB)
Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak. What Information about Cardiovascular Diseases do People Search Online?. In 25th European Medical Informatics Conference (MIE 2014). Istanbul, Turkey; 2014.  (121.33 KB)
Delroy Cameron, Christopher Thomas, Pablo N. Mendes, Pankaj Mehra, Wenbo Wang, Amit Sheth. What Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation. In Web Science; 2010.  (0 bytes)
Amit Sheth. What can Semantics do for Bioinformatics. In Russian Conference on Digital Libraries (RCDL); 2003.  (3.18 MB)
Raminta Daniulaityte, Robert Carlson, Russel Falck, Delroy Cameron, Sujan Udayanga, Lu Chen, Amit Sheth. A Web-Based Study of Self-Treatment of Opioid Withdrawal Symptoms with Loperamide. In College on Problems of Drug Dependence (CPDD). The College on Problems of Drug Dependence (CPDD), Palm Springs, CA USA, June 9-14, 2012: College on Problems of Drug Dependence (CPDD) ; 2012.  (433.83 KB)
Amit Sheth. Web Services to Semantic Web Processes: Investigating Synergy between Practice and Research. In First European Young Researchers Workshop on Service Oriented Computing; 2005.  (1.92 MB)
John Miller, Amit Sheth, S. Chrasekaran, G. Silver, Jorge Cardoso. Web Service Technologies and Their Synergy with Simulation. In 2002 Winter Simulation Conference. San Diego, CA, USA; 2002. p. 606-615.  (196.85 KB)
Kunal Verma, Rama Akkiraju, John Miller, Meenakshi Nagarajan, Joel Farrell, Amit Sheth. Web Service Semantics - WSDL-S (Presentation). In W3C Workshop on Frameworks for Semantics in Web Services; 2005.  (1.01 MB)
Rama Akkiraju, Joel Farrell, John Miller, Meenakshi Nagarajan, Marc-Thomas Schmidt, Amit Sheth, Kunal Verma. Web Service Semantics - WSDL-S. In W3C Workshop on Frameworks for Semantics in Web Services. Innsbruck, Austria: W3C Workshop on Frameworks for Semantics in Web Services; 2005.  (155.18 KB)
Amit Sheth. Web 3.0: Semantics, Services, Sensor & Social Computing. In DA-IICT; 2009.
Farshad Hakimpour, Leonidas Deligiannidis, Amit Sheth. Visualization of Events in a Spatially and Multimedia Enriched Virtual Environment. In IEEE Intelligence and Security Informatics (ISI). New Brunswick, NJ; 2007.  (313.27 KB)
Terry Rapoch, Amit Sheth, Josh Pschorr, Prateek Jain, Cory Henson. Video on the Semantic Sensor Web. In W3C Video on the Web Workshop; 2007.  (0 bytes)
Pramod Anantharam, Biplav Srivastava, Amit Sheth. Utility-driven Evolution Recommender for a Constrained Ontology. In International Conference on Web Intelligence, Mining and Semantics (WIMS 2013). Madrid, Spain; 2013.  (3.6 MB)
Kamer Yuksel, Sergio Biggemann, Amit Sheth, Jeremy Brunn. Using Social Media Data to Understand Brand Development. In 2016 Direct/Interactive Marketing Research Summit. Los Angeles, CA: Marketing EDGE; 2016.  (135.98 KB)
Kunal Verma, Amit Sheth. Using SAWSDL for Semantic Service Interoperability. In Semantic Technology Conference; 2007.  (2.59 MB)
M. Ansari, Amit Sheth, Marek Rusinkiewicz, L. Ness. Using Flexible Transactions to Support Multisystem Telecommunication Applications. In Using Flexible Transactions to Support Multisystem Telecommunication Applications. 1992.  (796.96 KB)
Ramakanth Kavuluru, Christopher Thomas, Amit Sheth, Victor Chan, Wenbo Wang, Gary Alan Smith. An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains. In IHI 2012- 2nd ACM SIGHIT International Health Informatics Symposium. Miami Florida; 2012.  (1.3 MB)
Shaojun Wang, Cartic Ramakrishnan, Pablo N. Mendes, Amit Sheth. Unsupervised Discovery of Compound Entities for Relationship Extraction. In Unsupervised Discovery of Compound Entities for Relationship Extraction. 2008.  (0 bytes)
Hemant Purohit, Yiye Ruan, Amruta Joshi, Srinivasan Parthasarthy, Amit Sheth. Understanding User-Community Engagement by Multi-faceted Features: A Case Study on Twitter. In SoME 2011 (Workshop on Social Media Engagement, in conjunction with WWW 2011). Hyderabad, India: 2011 workshop on Social Media Engagement (SoME); 2011.  (259.29 KB)

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