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Ontology-based systems
Amit Sheth, Jorge Cardoso. Semantic e-Workflow Composition. Journal of Intelligent Information Systems; 2003. p. 191-225.  (648.63 KB)
open street maps
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
operating systems
John Miller, Amit Sheth, Krzysztof Kochut. Perspectives in Modeling: Simulation, Database and Workflow. In Conceptual Modeling: Lecture Notes in Computer Science. Berlin: Springer Berlin Heidelberg; 1999. p. 154-167.  (444.69 KB)
Opinion Mining
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
Optimization
CONSTRAINT DRIVEN WEB SERVICE COMPOSITION IN METEOR-S. 2004.
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
Organization
Hemant Purohit. Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154.  (6.65 MB)
our text clustering and knowledge extraction strategy grouped the retrieval results into informative clusters as revealed by the keywords and MeSH terms extracted from the documents in each cluster. <br /> <b>Conclusions</b>: The text mining system studi
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;.  (0 bytes)
Outsourced Database
Keke Chen, Ramakanth Kavuluru, Shumin Guo. RASP: Efficient Multidimensional Range Query on Attack-Resilient Encrypted Databases. In ACM Conference on Data and Application Security and Privacy (CODASPY) 2011. San Antonio, TX; 2011.  (316.57 KB)
OWL 2 EL
Raghava Mutharaju, Pascal Hitzler, Prabhaker Mateti. Distributed OWL EL Reasoning: The Story So Far. Thomas Liebig, Achille Fokoue. 10th International Workshop on Scalable Semantic Web Knowledge Base Systems. Riva del Garda, Italy: CEUR; 2014. p. 61-76.  (437.93 KB)
OWL and Abductive Reasoning and Parsimonious Covering Theory
Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Pascal Hitzler. Representation of Parsimonious Covering Theory in OWL-DL. In 8th International Workshop on OWL: Experiences and Directions (OWLED 2011). San Francisco, California; 2011.
OWL and description logic and decidability and local closed world and reasoningalgorithms and rules and datalog
David Carral Martinez, Adila Alfa Krisnadhi, Frederick Maier, Kunal Sengupta, Pascal Hitzler. Reconciling OWL and Rules. 2011.  (326.39 KB)
OWL and non-standard reasoning with ontologies and semantic social networks and ontology alignment and business applications and ontology engineering and user interfaces and Web data and knowledge and semantic Web services and semantic retrieval and descr
Diana Maynard, M. Paolucci, Amit Sheth, Timothy Finin, Steffen Staab, Krishnaprasad Thirunarayan, Mike Dean. The Semantic Web - ISWC 2008. In 7th International Semantic Web Conference, ISWC 2008; 2008.  (0 bytes)
PACE
Satya S. Sahoo, Krishnaprasad Thirunarayan, Olivier Bodenreider, Pascal Hitzler, Amit Sheth. Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data. In SSDBM2010. The 22nd International Conference on Scientific and Statistical Database Management (SSDBM) 2010; 2010.  (810.08 KB)
parallel
Gerik Scheuermann, Hans Hagen, Thomas Wischgoll. Parallel Detection of Closed Streamlines in Planar Flows. International Conference on Visualization, Imaging, and Image Processing. 2001 ;:84-88.
Gerik Scheuermann, Thomas Wischgoll. Parallel Computation of the Topological Skeleton of Vector Fields. High Performance Computing (HPC 2003) Symposium. 2003 ;:139-144.
parallel algorithms
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
parallel languages
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
parallel processing
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
parallel programming
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
Parasite Knowledge Repository
Amir Asiaee, Prashant Doshi, Todd Minning, Satya Sahoo, Priti Parikh, Amit Sheth, Rick Tarleton. From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data. 9th International Conference on Data Integration in the Life Sciences (DILS '13). Montreal, Canada; 2013.  (301.35 KB)
parts-of-speech information
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
passenger threat assessment
Amit Sheth, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Chris Halaschek, Cartic Ramakrishnan, Clemns Bertram, Yashodhan Warke, David Avant, F. S. Arpinar, Kemafor Anyanwu, Krys Kochut. Semantic Association Identification and Knowledge Discovery for National Security Applications. Journal of Database Management, Special Issue: Database Technology for Enhancing National Security. IGI Global; 2005 ;16(1):33-53.  (875.31 KB)

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