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2017
Andrew Hampton, Shreyansh Bhatt, Smith A, 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.  (445.48 KB)
Hamid R. Motahar Nezhad, Kalpa Gunaratna, Juan Cappi. eAssistant: Cognitive Assistance for Identification and Auto-Triage of Actionable Conversations. In 26th International World Wide Web Conference (WWW 2017). Perth, Australia; 2017.  (1.42 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. EmojiNet: An Open Service and API for Emoji Sense Discovery. In 11th International AAAI Conference on Web and Social Media (ICWSM 2017). Montreal, Canada; 2017.  (5.69 MB)
Saeedeh Shekarpour, Edgard Marx, Sören Auer, Amit Sheth. RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. In 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, California; 2017.  (1.08 MB)
Edgard Marx, Saeedeh Shekarpour, Tommaso Soru, Adrian Brasoveanu, Muhammad Saleem, Ciro Baron, Albert Weichselbraun, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Sören Auer. Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. In 11th International Conference on Semantic Computing (IEEE ICSC 2017). San Diego, California; 2017.  (923.15 KB)
2016
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Analyzing Clinical Depressive Symptoms in Twitter. In 23rd NIMH Conference on Mental Health Services Research (MHSR): Harnessing Science to Strengthen the Public Health Impact. Bethesda, MD; 2016.  (1.98 MB)
Amelie Gyrard, Pankesh Patel, Amit Sheth, Martin Serrano. Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. IEEE; 2016 ;32(5).  (379.84 KB)
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. 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)
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)
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.  (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.  (920.03 KB)
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)
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.
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.
Amit Sheth. Semantic, Cognitive, and Perceptual Computing – Three Intertwined Strands of a Golden Braid of Intelligent Computing. International Summer School on Web Science and Technology (WebST2016). Bilbao, Spain; 2016.
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 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.
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. 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 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.  (265.83 KB) (6.23 MB)
2015
Sanjaya Wijeratne, Derek Doran, Amit Sheth, Jack Dustin. 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)
Wenbo Wang. Automatic Emotion Identification from Text. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 138.  (679.48 KB)

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