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2017
Robinson J, Doran D. Seasonality in dynamic stochastic block models. In Proceedings of the International Conference on Web Intelligence. Leipzig, Germany: ACM; 2017. p. 976–979.
Vinh Nguyen. Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2017.  (1.39 MB)
Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran. A Semantics-Based Measure of Emoji Similarity. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017.  (2.34 MB)
Kalpa Gunaratna. Semantics-based Summarization of Entities in Knowledge Graphs. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2017. p. 145.  (3.81 MB)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Bajaj G, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
Hampton AJ, Shalin VL. Sentinels of breach: Lexical choice as a measure of urgency in social media. Human factors. Sage Publications Sage CA; 2017 ;59(4):505-519.  (932.81 KB)
Zabihimayvan M, Sadeghi R, H. Rude N, Derek Doran. A soft computing approach for benign and malicious web robot detection. Expert Systems with Applications [Internet]. ELSEVIER; 2017 ;87:129 - 140. http://www.sciencedirect.com/science/article/pii/S0957417417304116 (1.86 MB)
Xie N, Brown K, Rude N, Doran D. A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots. In: Cong F, Leung A, Wei Q. Advances in Neural Networks - ISNN 2017 [Internet]. Cham: Springer International Publishing; 2017. p. 536–546. http://dx.doi.org/10.1007/978-3-319-59072-1_63 (664.35 KB)
Keke Chen, Avusherla B, Allison S, Schmidt V. SPIN: Cleaning, Monitoring, and Querying Image Streams Generated by Ground-Based Telescopes for Space Situational Awareness. 2017 ;. Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
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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)
Pankesh Patel, Ali MIntizar, Amit Sheth. On Using the Intelligent Edge for IoT Analytics. IEEE Intelligent Systems [Internet]. IEEE; 2017 ;32(5):64-69. http://ieeexplore.ieee.org/document/8070894/ (1.15 MB)
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth. What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveillance. JMIR Publications; 2017 ;3:e38.
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)
Siva Kumar Cheekula. Characterizing Concepts in Taxonomy for Entity Recommendations. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2016. p. 59.  (2.08 MB)
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)
Jacob R, Krishnaprasad T. 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.  (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)
Saeedeh Shekarpour, Hussein S. Al-Olimat, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Shalin VL, Amit P. Sheth. HeadEx: Triple Extraction from Stream of News Headlines on Twitter using n-ary Relations. Kno.e.sis Library Archive. 2016.  (8.7 MB)
Kandakatla R. 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.
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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, 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.
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 ;.
Monireh Ebrahimi, Amir Hossein Yazdavar, Salim N, Eltyeb S. 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. 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)

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