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Conference Paper
Pascal Hitzler. Towards a Systematic Account of Different Logic Programming Semantics. In 26th Annual German Conference on Artificial Intelligence, KI2003. Hamburg, Germany; 2003. p. 355-369.  (211.68 KB)
Karthik Gomadam, Kang Li, Douglas Brewer, Sujeeth Thirumalai. Towards an Ontology Driven Spam Filter. In 22nd International Conference on Data Engineering Workshops (ICDEW'06), Workshop on Semantics Enabled Networks and Services (SeNS 2006),; 2006.  (0 bytes)
Ling Liu, Keke Chen. Towards Attack-Resilient Geometric Data Perturbation. In Towards Attack-Resilient Geometric Data Perturbation. 2007.  (0 bytes)
Krishnaprasad Thirunarayan, Ajith Ranabahu, Ashwin Manjunatha, Amit Sheth. Towards Cloud Mobile Hybrid Application Generation using Semantically Enriched Domain Specific Languages. In International Workshop on Mobile Computing and Clouds (MobiCloud 2010); 2010.  (1.03 MB)
Pascal Hitzler. Towards Nonmonotonic Reasoning on Hierarchical Knowledge. In WLP: Workshop Logische Programmierung; 2002.  (0 bytes)
Fengguang Tian, Keke Chen. Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds. In IEEE Conference on Cloud Computing. 2011.  (223.59 KB)
Ismailcem Budak Arpinar, Madhan Arumugam, Amit Sheth. Towards Peer-to-Peer Semantic Web: A Distributed Environment for Sharing Semantic Knowledge on the Web. In WWW2002 Workshop on Real World RDF and Semantic Web Applications. Honolulu, HI; 2002.  (254.84 KB)
Pascal Hitzler. Towards Reasoning Pragmatics. In Third International Conference, GeoS. Mexico City, Mexico; 2009.  (170.66 KB)
Vipul Kashyap, T. C. Rindflesch, Cartic Ramakrishnan. Towards (Semi-) Automatic Generation of Bio-Medical Ontologies. In AMIA 2003 Annual Symposium on Biomedical and Health Informatics; 2003.  (101.5 KB)
Matthias Knorr, Jose Julio Alferes, Pascal Hitzler. Towards Tractable Local Closed World Reasoning for the Semantic Web. In 13th Portuguese Conference on Aritficial Intelligence, EPIA. Guimaraes, Portugal: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007; 2007. p. 3-14.  (166.6 KB)
Keke Chen, Rongqing Lu, C.K. Wong, Gordon Sun, Larry Heck, Belle Tseng. Trada: a Tree-Based Ranking Function Adaptation Approach. In 17th ACM Conference on Information and Knowledge Management. Napa Valley, California: ACM; 2008. p. 1143-1152.  (301.46 KB)
Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth. Traffic Analytics using Probabilistic Graphical Models Enhanced with Knowledge Bases. In 2nd International Workshop on Analytics for Cyber-Physical Systems (ACS-2013) at SIAM International Conference on Data Mining (SDM 2013). Austin, Texas; 2013.  (1.45 MB)
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust In Social and Sensor Networks. In Wright State University; 2010.  (1.27 MB)
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)
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust Model for Semantic Sensor and Social Networks: A Preliminary Report. In National Aerospace & Electronics Conference (NAECON). Dayton, Ohio: In Proceedings of National Aerospace & Electronics Conference (NAECON); 2010.  (285.32 KB)
Krishnaprasad Thirunarayan, Pramod Anantharam. Trust Networks: Interpersonal, Sensor, and Social. In International Conference on Collaborative Technologies and Systems (CTS 2011). Philadelphia, Pennsylvania, USA,: In: Proceedings of 2011 International Conference on Collaborative Technologies and Systems (CTS 2011); 2011.  (688.54 KB)
Cory Henson, Amit Sheth. Trusted Semantic Sensor Network. In AFRL Strategic Expansion Workshop on Cognitive Modeling. Dayton, OH: AFRL; 2011.
Satya Sahoo, Raghava Mutharaju, Pramod Anantharam, Rick Tarleton, Flora Logan, Amit Sheth, D. Brent Weatherly. Trykipedia: Collaborative Bio-Ontology Development using Wiki Environment. In Ohio Collaborative Conference on BioInformatics (OCCBIO 2009). Case Western Reserve University, Cleveland, OH; 2009.  (855.95 KB)
Pavan Kapanipathi, Alexandre Passant, Pablo Mendes. Twarql: Tapping into the Wisdom of the Crowd. In Triplification Challenge 2010. 6th International Conference on Semantic Systems (I-SEMANTICS); 2010.  (157.11 KB)
Hemant Purohit, Amit Sheth. Twitris v3: From Citizen Sensing to Analysis, Coordination and Action. In 7th International AAAI Conference on Weblogs and Social Media. Cambridge, Massachusetts: AAAI Publications; 2013.  (440.24 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)
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)
Derek Doran, Swapna Gokhale, Aldo Dagnino. Understanding Common Perceptions from Online Social Media. In International Conference of Software Engineering and Knowledge Engineering. Vancouver,CA; 2014.  (7.79 MB)
Hemant Purohit, Yiye Ruan, Dave Fuhry, Srinivasan Parthasarthy, Amit Sheth. On Understanding Divergence of Online Social Group Discussion. In 8th International AAAI Conference on Weblogs and Social Media (ICWSM 2014). University Park, PA; 2014.  (317.78 KB)
Huda Alhazmi, Swapna Gokhale, Derek Doran. Understanding Social Effects in Online Networks. In International Symposium on Social Computing and Semantic Data Mining. Anaheim, California; 2015.  (209.63 KB)
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)
Shaojun Wang, Y. Zhao. A Unifed Framework for Recursive Maximum Likelihood Estimation of Hidden Markov Models. In A Unifed Framework for Recursive Maximum Likelihood Estimation of Hidden Markov Models. 1999.
Krishnaprasad Thirunarayan, Trivikram Immaneni. A Unified approach To Retrieving Web Documents and Semantic Web Data. In 4th European Semantic Web Conference (ESWC 2007). Innsbruck, Austria; 2007. p. 579-593.  (627.86 KB)
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)
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)
Lu Chen, Ingmar Weber, Adam Okulicz-Kozaryn. U.S. Religious Landscape on Twitter. In 6th International Conference on Social Informatics (SocInfo 2014). Barcelona, Spain; 2014.  (1.28 MB)
Joerg Meyer, Hans Hagen, Elke Moritz, Thomas Wischgoll. Usability of multiple degree-of-freedom input devices and virtual reality displays for interactive visual data analysis. In 2007.
Meenakshi Nagarajan. User-Generated Content on Social Media Challenges, Opportunities. In Social Data on the Web Workshop, collocated with International Semantic Web Conference, 2009; 2009.  (6.83 MB)
P. Sanschagrin, L. Kuhn, Michael Raymer. Using Cluster Analysis to Identify Conserved Binding Sites in Proteins. In 1997.
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)
R. Greiner, Shaojun Wang, C. Lee. Using Query-Speci_c Variance Estimates to Combine Bayesian Classi_ers. In Using Query-Speci_c Variance Estimates to Combine Bayesian Classi_ers. 2006.
Kunal Verma, Amit Sheth. Using SAWSDL for Semantic Service Interoperability. In Semantic Technology Conference; 2007.  (2.59 MB)
G. Silver, Jorge Cardoso, John Miller. Using Simulation to Facilitate Effective Workflow Adaptation. In 35th Annual Simulation Symposium (SS 2002). San Diego, CA, USA; 2002.
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)
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)
Ling Liu, Keke Chen. Validating and Refining Clusters via Visual Rendering. In Validating and Refining Clusters via Visual Rendering. 2003.  (0 bytes)
Krishnaprasad Thirunarayan. Value Oriented Big Data Processing with Applications. In 2015 International Conference on Collaboration Technologies and Systems (CTS 2015). Atlanta, Georgia; 2015.  (3.77 MB)
F. Jiao, Shaojun Wang, D. Schuurmans, L. Cheng. Variational Bayesian Image Modelling. In Variational Bayesian Image Modelling. 2005.
Joerg Meyer, Elke Moritz, Thomas Wischgoll. The Vasculature of the Heart: An Interactive Guided Tour. In 2004.
Anthony Seda, Pascal Hitzler. VDM meets LCF: Domain-Theoretic and Topological Aspects of VDM. In Fifth Irish Workshop on Formal Methods (IWFM'01); 2001.
Krishnaprasad Thirunarayan, Lauara C. Debrock. A VHDL-93 Hardware Description Browser. In A VHDL-93 Hardware Description Browser. 1997.  (0 bytes)
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)
Joerg Meyer, Elke Moritz, Thomas Wischgoll. Virtual Exploration of a Cardiovascular System. In 2004.
Fengguang Tian, Keke Chen. VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning. In VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning. 2009.
Ling Liu, Keke Chen. A Visual Framework Invites Human into the Clustering Process. In A Visual Framework Invites Human into the Clustering Process. 2003.  (0 bytes)

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