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Implicit Entities
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)
Implicit Entity Recognition
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017. p. 1-9.  (701.11 KB)
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
Implicit information extraction
Sujan Perera. Implicit Information Extraction from Clinical Notes. In IEEE International Conference on Healthcare Informatics 2015 (ICHI 2015). Dallas, TX: IEEE; 2015.  (63.83 KB)
Sujan Perera, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott. Implicit Entity Recognition in Clinical Documents. 4th Joint Conference on Lexical and Computational Semantics (*SEM) 2015. Denver, CO: Association for Computational Linguistics; 2015. p. 228-238.  (300.69 KB) (332.44 KB)
implicit relationships
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Implicit Semantics
Cartic Ramakrishnan, Amit Sheth, Christopher Thomas. Semantics for The Semantic Web: the Implicit, the Formal and the Powerful. International Journal on Semantic Web & Information Systems. 2005 ;1(1):1-18.  (2.85 MB) (1.83 MB)
in the domain of RESTful services and Web 2.0. In this article
Ajith Ranabahu, Amit Sheth, Karthik Gomadam. Semantics enhanced Services: METEOR-S, SAWSDL and SA-REST. 2008 ;.  (0 bytes)
inconsistency measurement
Yue Ma, Guilin Qi, Guohui Xiao, Pascal Hitzler, Zuoquan Lin. Computational Complexity and Anytime Algorithm for Inconsistency Measurement. International Journal of Software and Informatics. 2010 ;:3-21.  (478.9 KB)
Industrial Internet
Steven Gustafson, Amit Sheth. The Web of Things. Computing Now. 2014 ;7(3).
inference
Pramod Anantharam, Payam Barnaghi, Amit Sheth. Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: modeling, annotation, integration, and perception. International Conference on Web Intelligence, Mining, and Semantics (WIMS '13). Madrid, Spain: ACM; 2013.  (154.65 KB)
Inference algorithms
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
influential virtual responders
Hemant Purohit, Shreyansh Bhatt, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach. With Whom to Coordinate, Why and How in Ad-hoc Social Media Communities during Crisis Response. In 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2014). University Park, PA; 2014.  (773.18 KB)
Wenbo Wang, Lei Duan, Anirudh Koul, Amit Sheth. YouRank: Let User Engagement Rank Microblog Search Results. In 8th International AAAI Conference on Weblogs and Social Media . Ann Arbor, MI; 2014.  (716.37 KB)
InfoHarness. VisualHarness
Kshitij Shah, Amit Sheth. InfoHarness: Managing Distributed, Heterogeneous Information. IEEE Internet Computing. 1999 ;:18-28.  (314.42 KB)
Informal Semantics
Cartic Ramakrishnan, Amit Sheth, Christopher Thomas. Semantics for The Semantic Web: the Implicit, the Formal and the Powerful. International Journal on Semantic Web & Information Systems. 2005 ;1(1):1-18.  (2.85 MB) (1.83 MB)
informal text analysis
Meenakshi Nagarajan. Understanding User-Generated Content on Social Media. 2010.  (9.71 MB)
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Amit Sheth. Multimodal Social Intelligence in a Real-Time Dashboard System. VLDB Journal Special Issue on Data Management and Mining for Social Networks and Social Media. Springer; 2010 ;.  (1007.63 KB)
information extraction
Pramod Anantharam, Biplav Srivastava. City Notifications as a Data Source for Traffic Management. In 20th ITS World Congress. Tokyo, Japan; 2013.  (441.18 KB)
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Wenbo Wang, Christopher Thomas, Amit Sheth, Victor Chan. Pattern-Based Synonym and Antonym Extraction. In 48th ACM Southeast Conference. Oxford, Mississippi; 2010.  (98.05 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)
Pablo N. Mendes, Alex Passant, Pavan Kapanipathi, Amit Sheth. Linked Open Social Signals. In International Conference on Web Intelligence. Toronto, Canada: IEEE/WIC/ACM International Conference on Web Intelligence (WI-10); 2010.  (526.46 KB)
Ramakanth Kavuluru, Christopher Thomas, Amit Sheth, Victor Chan, Wenbo Wang, Gary Alan Smith. An Up-to-date Knowledge-Based Literature Search and Exploration Framework for Focused Bioscience Domains. In IHI 2012- 2nd ACM SIGHIT International Health Informatics Symposium. Miami Florida; 2012.  (1.3 MB)
METIS: Automating Metabase Creation from Multiple Heterogeneous Sources. University of Georgia; 2000.  (4.85 MB)
Information Extraction and Model Creation and Linked Open Data and Knowledge Extraction
Delroy Cameron, Christopher Thomas, Pablo N. Mendes, Pankaj Mehra, Wenbo Wang, Amit Sheth. What Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation. In Web Science; 2010.  (0 bytes)

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