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2016
Sidra Faisal, Kemele Endris, Saeedeh Shekarpour, Sören Auer. Co-evolution of RDF Datasets. Computing Research Repository (CoRR). 2016 ;.  (638 KB)
Nehal Shah, Amit Sheth, Shreyansh Bhatt, Raxit Goswami, Vatsal Shah, Rahil Kanani, Amrish Patel, Parth Pathak. Data Processing System and Method for Computer-Assisted Coding of Natural Language Medical Text. USA: ezDI, LLC; 2016.  (231.65 KB)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: A Machine Readable Emoji Sense Inventory. Wright Brother's Day, Wright State University. Dayton, Ohio, USA; 2016 .  (66.92 KB) (815.49 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)
Edgard Marx, Konrad Hoffner, Saeedeh Shekarpour, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Sören Auer. Exploring Term Networks for Semantic Search over RDF Knowledge Graphs. Emmanouel Garoufallou, Imma Subirats Coll, Armando Stellato, Jane Greenberg. Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Cham: Springer International Publishing; 2016. p. 249–261.  (432.38 KB)
Ross Jacob, Thirunarayan Krishnaprasad. Features for Ranking Tweets Based on Credibility and Newsworthiness. In 17th International Conference on Collaboration Technologies and Systems (CTS 2016). Orlando, Florida, USA: IEEE Computer Society; 2016. p. 18-25.  (215.93 KB)
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. 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. p. 685-692.  (2.02 MB)
Vinh Nguyen, Jyoti Leeka, Olivier Bodenreider, Amit Sheth. A Formal Graph Model for RDF and Its Implementation. CoRR. 2016 ;abs/1606.00480.  (701.27 KB)
Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie Shalin, Nayanesh Bhandutia, Amit Sheth. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
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)
Sarasi Lalithsena, Pavan Kapanipathi, Amit Sheth. Harnessing Relationships for Domain-specific Subgraph Extraction: A Recommendation Use Case. In IEEE International Conference on Big Data. Washington D.C.; 2016.  (670.22 KB)
Rajeshwari Kandakatla. Identifying Offensive Videos on YouTube [Internet]. 2016. https://etd.ohiolink.edu/!etd.send_file?accession=wright1484751212961772&disposition=inline Rajeshwari Kandakatla: Identifying Offensive Videos on YouTube, MS Thesis, Wright State University, Dayton, OH, December 2016.
Rajeshwari Kandakatla: Identifying Offensive Videos on YouTube, MS Thesis, Wright State University, Dayton, OH, December 2016.
 (3.45 MB)
Adarsh Alex. Identifying Tweets with Implicit Entity Mentions. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2016. p. 56.  (566.8 KB)
Sujan Perera, Pablo N. Mendes, Adarsh Alex, Amit Sheth, Krishnaprasad Thirunarayan. Implicit Entity Linking in Tweets. Extended Semantic Web Conference. Heraklion, Crete, Greece : Springer; 2016. p. 118-132.  (365.33 KB) (530.27 KB)
Amit Sheth. Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
Amit Sheth, Sujan Perera, Sanjaya Wijeratne. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. 2016 .  (994.44 KB)
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Ashutosh Jadhav. Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180.  (11.11 MB)
Pramod Anantharam. 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)
Nishita Jaykumar, PavanKalyan Yallamelli, Vinh Nguyen, Sarasi Lalithsena, Krishnaprasad Thirunarayan, Amit Sheth. KnowledgeWiki: An OpenSource Tool for Creating Community-Curated Vocabulary, with a Use Case in Materials Science. In World Wide Web 2016. Montreal, Canada; 2016.  (904.53 KB) (1.82 MB)
Amit Sheth. Ontology-enabled Healthcare Applications Exploiting Physical-Cyber-Social Big Data. In Ontology Summit 2016. Virtual; 2016.
Bradley Schneider, Tanvi Banerjee. Preliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing. In 2016 International Conference on Computational Science and Computational Intelligence. Las Vegas, NV; 2016.  (514.03 KB)
Sagar Sharma, James Powers, Keke Chen. 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.
Andreas Both, Dennis Diefenbach, Kuldeep Singh, Saeedeh Shekarpour, Didier Cherix, Christoph Lange. Qanary - A Methodology for Vocabulary-driven Open Question Answering Systems. ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 625--641.
Saeedeh Shekarpour, Denis Lukovnikov, Ashwini Jaya Kumar, Kemele M. Endris, Kuldeep Singh, Harsh Thakkar, Christoph Lange. Question Answering on Linked Data: Challenges and Future Directions. Computing Research Repository (CoRR). 2016 ;.
Saeedeh Shekarpour, Kemele Endris, Ashwini Jaya Kumar, Denis Lukovnikov, Kuldeep Singh, Harsh Thakkar, Christoph Lange. 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.
Monireh Ebrahimi, Amir Hossein Yazdavar, Naomie Salim, Safaa Eltyeb. Recognition of side effects as implicit-opinion words in drug reviews. Online Information Review; 2016 ;40(7):1018-1032.  (564.66 KB)
Nishita Jaykumar. 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)
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
Amit Sheth, Pramod Anantharam, Cory Henson. Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience. Computer. IEEE; 2016 ;49(3):64-72.  (459.58 KB)
Amit Sheth, Pavan Kapanipathi. Semantic Filtering for Social Data. IEEE Internet Computing. IEEE; 2016 ;20(4):74-78.  (342.08 KB)
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth. Signals Revealing Street Gang Members on Twitter. In Workshop on Computational Approaches to Social Modeling (ChASM 2016) co-located with 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA; 2016.  (939.06 KB)
Edward Curry, Schahram Dustdar, Quan Sheng, Amit Sheth. Smart Cities – Enabling Services and Applications. Journal of Internet Services and Applications. SpringerOpen; 2016 ;7(6).  (400.32 KB)
Raminta Daniulaityte, Robert Carlson, Gregory Brigham, Delroy Cameron, Amit Sheth. A Study of Social Web Data on Buprenorphine Abuse Using Semantic Web Technology. Fairborn: Wright State University; 2016 .  (484.2 KB)
Pankesh Patel, Amelie Gyrard, Dhavalkumar Thakker, Amit Sheth, Martin Serrano. SWoTSuite: A Toolkit for Prototyping Cross-domain Semantic Web of Things Applications. 15th International Semantic Web Conference (ISWC 2016). Kobe, Japan: CEUR ; 2016.  (459.68 KB)
Francois R. Lamy, Raminta Daniulaityte, Amit Sheth, Ramzi Nahhas, Silvia Martins, Edward Boyer, Robert Carlson. "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)
Kuldeep Singh, Andreas Both, Dennis Diefenbach, Saeedeh Shekarpour. 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.
Lu Zhou, Wenbo Wang, Keke Chen. 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)
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)
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)
William Romine, Tanvi Banerjee, William Folk, Lloyd Barrow. What Motivates High School Students to Take Precautions Against the Spread of Influenza? Latent Modeling of Compliance with Preventative Practice: A Data Science Approach. In International Conference on Health Informatics and Medical Systems (HIMS). Las Vegas, Nevada; 2016.  (490.51 KB)
Raminta Daniulaityte, Lu Chen, Francois R. Lamy, Robert Carlson, Krishnaprasad Thirunarayan, Amit Sheth. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
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)
2017
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017.  (710.53 KB)
Wang W, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. Adaptive Training Instance Selection for Cross-domain Emotion Identification. In Proceedings of the International Conference on Web Intelligence. New York, NY, USA: ACM; 2017. p. 525–532.  (710.53 KB)
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
Monireh Ebrahimi, Amir Hossein Yazdavar, Amit Sheth. On the Challenges of Sentiment Analysis for Dynamic Events. IEEE Intelligent Systems. IEEE; 2017 ;.  (548.69 KB)
Raminta Daniulaityte, Francois R. Lamy, Monica Barratt, Ramzi W. Nahhas, Silvia S. Martins, Edward W. Boyer, Amit Sheth, Robert G. Carlson. Characterizing marijuana concentrate users: A web-based survey. Drug and Alcohol Dependence. Elsevier; 2017 ;.
Andrew Hampton, Shreyansh Bhatt, Alan Smith, Jeremy Brunn, Hemant Purohit, Valerie Shalin, John Flach, Amit Sheth. Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise. In 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017). Albi, Occitanie Pyrénées-Méditerranée, France; 2017.  (1.56 MB)
Roopteja Muppalla, Michele Miller, Tanvi Banerjee, William Romine. Discovering Explanatory Models to Identify Relevant Tweets on Zika. In 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017). Jeju Island, Republic of Korea: IEEE ; 2017.  (131.86 KB)

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