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. Building the Web of Knowledge with Smart IoT Applications. CoRR. 2016 ;abs/1606.07988. 
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(379.84 KB). Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016. (299.4 KB)
(299.4 KB). Co-evolution of RDF Datasets. Computing Research Repository (CoRR). 2016 ;. (638 KB)
(638 KB). Data Processing System and Method for Computer-Assisted Coding of Natural Language Medical Text. USA; 2016. (231.65 KB)
(231.65 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). EmojiNet: Building a Machine Readable Sense Inventory for Emoji. In 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA; 2016. (712.1 KB)
(712.1 KB). Finding Street Gang Members on Twitter. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). San Francisco, CA, USA; 2016. (2.02 MB)
(2.02 MB). A Formal Graph Model for RDF and Its Implementation. CoRR. 2016 ;abs/1606.00480. (701.27 KB)
(701.27 KB). Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. . 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100. 
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(1.13 MB) (488 KB). Identifying Tweets with Implicit Entity Mentions. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2016. p. 56. (566.8 KB)
(566.8 KB). Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132. (365.33 KB) (530.27 KB)
(365.33 KB) (530.27 KB). Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123. (1.65 MB)
(1.65 MB). Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180. (11.11 MB)
(11.11 MB). Knowledge-empowered Probabilistic Graphical Models For Physical-cyber-social Systems. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 172. (14.4 MB)
(14.4 MB). Ontology-enabled Healthcare Applications Exploiting Physical-Cyber-Social Big Data. In Ontology Summit 2016. Virtual; 2016.
. Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. Asia Conference on Computer and Communications Security 2016. Xi'an, China: ACM; 2016. p. 71-82.
. Qanary - A Methodology for Vocabulary-driven Open Question Answering Systems. ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 625--641.
. Question Answering on Linked Data: Challenges and Future Directions. International World Wide Web Conference. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2016. p. 693-698.
. Question Answering on Linked Data: Challenges and Future Directions. Computing Research Repository (CoRR). 2016 ;.
. ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization. Department of Engineering & Computer Science . [Dayton]: Wright State University; 2016. p. 64. (1.04 MB)
(1.04 MB). Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience. Computer. IEEE; 2016 ;49(3):64-72.
. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78. (342.08 KB)
(342.08 KB). Smart Cities – Enabling Services and Applications. Journal of Internet Services and Applications. SpringerOpen; 2016 ;7(6). (400.32 KB)
(400.32 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). "Those edibles hit hard": Exploration of Twitter data on cannabis edibles in the U.S. Drug and Alcohol Dependence. 2016 ;:64-70.
. Towards a Message-Driven Vocabulary for Promoting the Interoperability of Question Answering Systems. IEEE International Conference on Semantic Computing 2016. Laguna Hills, CA: IEEE; 2016. p. 386-389.
. Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. 25th International World Wide Web Conference (WWW 2016). Montreal, Canada: ACM; 2016. p. 603-612. (367.25 KB)
(367.25 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) (5.96 MB)
(2.05 MB) (5.96 MB). 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. (265.83 KB) (6.23 MB)
(265.83 KB) (6.23 MB). Analyzing the Social Media Footprint of Street Gangs. In 2015 IEEE International Conference on Intelligence and Security Informatics (ISI). Baltimore, MD: IEEE; 2015. (1.26 MB)
(1.26 MB). Automatic Emotion Identification from Text. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 138. (679.48 KB)
(679.48 KB). Big Data and Smart Cities. Dunedin, New Zealand: Dunedin City Council; 2015. (93.5 KB)
(93.5 KB). Citizen Sensor Data Mining, Social Media Analytics and Applications. Singapore: Singapore Symposium on Sentiment Analysis; 2015.
. Community Discovery: Simple and Scalable Approaches. In Human–Computer Interaction Series. Switzerland: Springer International Publishing; 2015. p. 23-54.
. Comparative visualization of protein conformations using large high resolution displays with gestures and body tracking. In Visualization and Data Analysis 2015. San Francisco, California: SPIE; 2015.
. Context-driven automatic subgraph creation for literature-based discovery. Journal of Biomedical Informatics. 2015 ;54:141-157. (2.37 MB)
(2.37 MB). Contrast Pattern Aided Regression and Classification. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 120. (1.43 MB)
(1.43 MB). Discovering Perceptions in Online Social Media: A Probabilistic Approach. International Journal of Software Engineering and Knowledge Engineering. 2015 ;24(9):1273-1300. (22.64 MB)
(22.64 MB). On the Discovery of Social Roles in Large Scale Social Systems. Social Network Analysis and Mining. 2015 ;5(49). (1.55 MB)
(1.55 MB). Document Retrieval using Predication Similarity. Bethesda, MD: Lister Hill National Center for Biomedical Communications; 2015 . (528.81 KB)
(528.81 KB). Domain-specific Document Retrieval Framework for Real-time Social Health Data. In International Conference on Data Integration in the Life Sciences 2015 (DILS2015). Los Angeles, CA; 2015. (94.42 KB)
(94.42 KB). Domain-specific Document Retrieval Framework on Near Real-time Social Health Data. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 63. (649.25 KB)
(649.25 KB). Entity Recommendations Using Hierarchical Knowledge Bases. Extended Semantic Web Conference 2015 (ESWC 2015). Portoroz, Slovenia; 2015. (355.5 KB)
(355.5 KB). Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia. In International Conference on Health Informatics and Medical Systems (HIMS). Las Vegas, Nevada; 2015. (345.24 KB)
(345.24 KB). Exposing Provenance Metadata Using Different RDF Models. CoRR. 2015 ;abs/1509.02822. (4.91 MB)
(4.91 MB). Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27. (2.5 MB)
(2.5 MB). 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)
(223.53 KB). FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering. In 29th AAAI Conference on Artificial Intelligence (AAAI 2015). Austin, Texas; 2015. (562.36 KB)
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