Library
. 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). A Systematic Property Mapping Using Category Hierarchy and Data. 2011 . (178.5 KB)
(178.5 KB). A Study of Social Web Data on Buprenorphine Abuse Using Semantic Web Technology. Fairborn: Wright State University; 2016 . (484.2 KB)
(484.2 KB). Sensor Discovery on Linked Data. 2010 . (567.27 KB)
(567.27 KB). Semantic Gateway as a Service architecture for IoT Interoperability. 2014 . (3.4 MB)
(3.4 MB). Prediction of User Engagement in Online Discussion Using Multi-faceted Features. Dayton: Wright State University; 2013 .
. Predicting Parkinson's Disease Progression with Smartphone Data. 2013 . (533.62 KB)
(533.62 KB). ORBWork: A CORBA-Based Fully Distributed, Scalable and Dynamic Workflow Enactment Service for METEOR. Athens: University of Georgia; 1998 . (375.09 KB)
(375.09 KB). On-demand Creation of Focused Domain Models using Top-down and Bottom-up Information Extraction. 2012 . (4.54 MB)
(4.54 MB). Location Prediction of Twitter Users using Wikipedia. Dayton: Wright State University; 2014 . (835.27 KB)
(835.27 KB). Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. 2016 . (994.44 KB)
(994.44 KB). Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 . (955.68 KB)
(955.68 KB). EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016 . (66.92 KB) (815.49 KB)
(66.92 KB) (815.49 KB). eDarkTrends update: New synthetic opiods identified on two cryptomarkets. 2018 . 
(423.29 KB)
(423.29 KB). Architecture and Prototype for Materials Knowledge Management System using Semantic Web Technologies and Techniques: A Preliminary Report. Dayton: Wright State University; 2014 .
. 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. Melbourne, Australia: RMIT School of Computer Science and Information Technology; 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). Smart Data: How You and I Will Exploit Big Data for Personalized Digital Health and Many Other Activities. 2015. (240.65 KB)
(240.65 KB). Semantics-enhanced Geoscience Interoperability, Analytics, and Applications. Madison, WI: Geospatial Semantics Workshop and GeoVoCamp; 2014. (6.14 MB)
(6.14 MB). Semantic Web for 360-degree Health: State-of-the-Art & Vision for Better Interoperability. 2011. (11.11 MB)
(11.11 MB). Personalized Prediction of Suicide Risk for Web-based Intervention. 24th NIMH Conference on Mental Health Services Research (MHSR); 2018. (1.33 MB)
(1.33 MB). Ontology Supported Knowledge Discovery in the Field of Human Performance and Cognition. Wright-Patterson Air Force Base; 2009. 
(7.2 MB)
(7.2 MB). Knowledge-enabled Personalized Dashboard for Asthma Management in Children. American College of Allergy, Asthma & Immunology Annual Meeting ; 2018. (461.4 KB)
(461.4 KB). Knowledge-empowered real-time event-centric situational analysis. NSF I/UCRC, Center for Surveillance Research Advisory Board meeting, August 7th, 2018; 2018. (1.61 MB)
(1.61 MB). Khealth Digital Personalized Healthcare technology for Pediatric Asthma. mHealth Technology Showcase, National Institute of Health- June 2018; 2018. (1.83 MB)
(1.83 MB). kHealth Bariatrics: A Multisensory Approach to Monitoring Patients' Postsurgical Behavior. WSU Celebration of Research, Scholarship, and Creative Activities 2017; 2017. (436.88 KB)
(436.88 KB). kHealth: A Personalized Healthcare approach for Pediatric Asthma. NSF Smart Health Workshop; 2018. (702.7 KB)
(702.7 KB). Feasibility of Recording Sleep Quality And Sleep Duration Using Fitbit in Children with Asthma. 32nd Annual Meeting of the Associated Professional Sleep Societies (SLEEP), 2-6 June 2018, Baltimore, MD; 2018. (650.88 KB)
(650.88 KB). Creating Real-Time Dynamic Knowledge Graphs. International Semantic Web Research School (ISWS) 2018, Bertinoro, Italy; 2018. (425.29 KB)
(425.29 KB). Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System. In procedings of the American Thoracic Society (ATS) International Conference; 2018. (412.7 KB)
(412.7 KB). Citizen Sensor Data Mining, Social Media Analytics and Applications. Singapore: Singapore Symposium on Sentiment Analysis; 2015.
. Big Data and Smart Cities. Dunedin, New Zealand: Dunedin City Council; 2015. (93.5 KB)
(93.5 KB). Augmented Personalized Health: Using Semantically Integrated Multimodal Data for Patient Empowered Health Management Strategies. mHealth Technology Showcase, National Institute of Health- June 2018; 2018. (1.44 MB)
(1.44 MB). Adaptive Knowledge Networks: A Time Capsule. CRA-W Grad Cohort, Chicago; 2019. (298.01 KB)
(298.01 KB). System and Method for Creating a Semantic Web and its Applications in Browsing, Searching, Profiling, Personalization and Advertising. USA: Taalee, Inc.; 2001. (433.77 KB)
(433.77 KB). Data Processing System and Method for Computer-Assisted Coding of Natural Language Medical Text. USA: ezDI, LLC; 2016. (231.65 KB)
(231.65 KB). Workflow Management Systems and ERP Systems: Differences, Commonalities, and Applications. 2002. (285.47 KB)
(285.47 KB). What, Where and When: Supporting Semantic, Spatial and Temporal Queries in a DBMS. 2007. (417.91 KB)
(417.91 KB). Web Service Semantics - WSDL-S. 2005.
. VideoAnywhere: A System for Searching and Managing Distributed Heterogeneous Video Assets. 1999. (537.21 KB)
(537.21 KB). Twitris: Socially Influenced Browsing. 2009. (309.37 KB)
(309.37 KB). Twitris 2.0 : Semantically Empowered System for Understanding Perceptions From Social Data. 2010. (408.89 KB)
(408.89 KB). Trust Networks. The 2012 International Conference on Collaboration Technologies and Systems (CTS 2012); 2012.
. Topical Anomaly Detection for Twitter Stream. 2012. (197.27 KB)
(197.27 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)