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. Using Polytransactions to Manage Interdependent Data. In 1992. 
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(233.11 KB). Using Flexible Transactions to Support Multisystem Telecommunication Applications. In Using Flexible Transactions to Support Multisystem Telecommunication Applications. 1992. (796.96 KB)
(796.96 KB). Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. JAMIA Open. 2018 ;:1-13. (550.45 KB)
(550.45 KB). User Interests Identification on Twitter Using a Hierarchical Knowledge Base. . 11th Extended Semantic Web Conference (ESWC 2014). Crete, Greece: Springer International Publishing; 2014. p. 99-113. (961.33 KB)
(961.33 KB). 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)
(1.3 MB). Updating Relational Views Using Knowledge at View Definition and View Update Time. Information Systems: An International Journal. 1991 ;. (2.32 MB)
(2.32 MB). Unsupervised Discovery of Compound Entities for Relationship Extraction. In Unsupervised Discovery of Compound Entities for Relationship Extraction. 2008. 
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(0 bytes). 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)
(259.29 KB). 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)
(317.78 KB). Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016. (2.05 MB)
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(2.05 MB) (5.96 MB). 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)
(519.61 KB). 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)
(440.24 KB). Twitris: Socially Influenced Browsing. 2009. (309.37 KB)
(309.37 KB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23. (1.18 MB)
(1.18 MB). Twitris: A System for Collective Social Intelligence. In: . Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253. (2.21 MB)
(2.21 MB). Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data. 2010. (408.89 KB)
(408.89 KB). 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)
(855.95 KB). Trusted Semantic Sensor Network. In AFRL Strategic Expansion Workshop on Cognitive Modeling. Dayton, OH: AFRL; 2011.
. Trust Networks. In 5th Indian International Conference on Artificial Intelligence (IICAI-11); 2011.
. Trust Networks. The 2012 International Conference on Collaboration Technologies and Systems (CTS 2012); 2012.
. 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)
(285.32 KB). Trust In Social and Sensor Networks. In Wright State University; 2010. (1.27 MB)
(1.27 MB). Traveling the Semantic Web through Space, Theme and Time. IEEE Educational Activities Department. 2008 ;:81-86. (749.75 KB)
(749.75 KB). Transforming Big Data into Smart Data: Deriving Value via Harnessing Volume, Variety & Velocity Using Semantics and Semantic Web. Hobart, Australia: CSIRO; 2015.
. Transforming Big Data into Smart Data: Deriving Value via Harnessing Volume, Variety & Velocity Using Semantics and Semantic Web. Dunedin, New Zealand: University of Otago; 2015. (98.76 KB)
(98.76 KB). Transforming Big Data into Smart Data: Deriving Value via Harnessing Volume, Variety & Velocity Using Semantics and Semantic Web. Singapore, Singapore: Singapore University of Technology and Design; 2015. (98.76 KB)
(98.76 KB). Transforming Big Data into Smart Data: Deriving Value via Harnessing Volume, Variety & Velocity Using Semantics and Semantic Web. Melbourne, Australia: RMIT School of Computer Science and Information Technology; 2015.
. Transactions in Transactional Workflows. In 1997. (356.67 KB)
(356.67 KB). On Transactional Workflows. 1993 ;. (118.62 KB)
(118.62 KB). Trailblazing, Complex Hypothesis Evaluation, Abductive Inference and Semantic Web - Exploring possible synergy. In Evidence and Intelligent Systems: ARO Workshop on Abductive Reasoning; 2007. (2.01 MB)
(2.01 MB). 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)
(1.45 MB). Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. IEEE; 2018. p. 42-51. (4.26 MB)
(4.26 MB). 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)
(254.84 KB). 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)
(1.03 MB). Topical Anomaly Detection for Twitter Stream. 2012. (197.27 KB)
(197.27 KB). A Tool for Integrating Conceptual Schemas and User Views. In A Tool for Integrating Conceptual Schemas and User Views. 1988. (558.11 KB)
(558.11 KB). "Time for dabs": Analyzing Twitter data on marijuana concentrates across the U.S. Drug and Alcohol Dependence. 2015 ;155:307-311.
. "Time for dabs": Analyzing Twitter data on butane hash oil use. In College on Problems of Drug Dependence CPDD 2015. Phoenix, Arizona; 2015. (87.2 KB)
(87.2 KB). "Those edibles hit hard": Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence. 2016 ;:64-70. (731.83 KB)
(731.83 KB). Text Analytics for Semantic Computing - the good, the bad and the ugly. International Conference on Semantic Computing, 2008; 2008. (12.09 MB)
(12.09 MB). Template Based Semantic Similarity for Security Applications. 2005. (0 bytes)
(0 bytes). TcruziKB: Enabling Complex Queries for Genomic Data Exploration. In 2nd IEEE International Conference on Semantic Computing. Santa Clara, CA, USA: 2nd IEEE International Conference on Semantic Computing (ICSC 2008); 2008. (818.2 KB)
(818.2 KB). A Taxonomy-based Model for Expertise Extrapolation. In 4th International Conference on Semantic Computing (ICSC2010). Pittsburgh PA, USA; 2010. (659.87 KB)
(659.87 KB). TaxaMiner: An Experimental Framework for Automated Taxonomy Bootstrapping. 2005 ;. (1.76 MB)
(1.76 MB). Task Scheduling Using Intertask Dependencies in Carnot. In Task Scheduling Using Intertask Dependencies in Carnot. 1993.
. Targeted Content Delivery for Social Media Content. 2008. (173.82 KB)
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