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Padmashree Ravindra
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Journal Articles
- 2014
- [j3]Padmashree Ravindra, Kemafor Anyanwu:
Nesting Strategies for Enabling Nimble MapReduce Dataflows for Large RDF Data. Int. J. Semantic Web Inf. Syst. 10(1): 1-26 (2014) - 2013
- [j2]Kemafor Anyanwu, HyeongSik Kim, Padmashree Ravindra:
Algebraic Optimization for Processing Graph Pattern Queries in the Cloud. IEEE Internet Comput. 17(2): 52-61 (2013) - 2011
- [j1]HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu:
From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra. Proc. VLDB Endow. 4(12): 1426-1429 (2011)
Conference and Workshop Papers
- 2017
- [c18]HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu:
A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop. IEEE BigData 2017: 193-202 - [c17]HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu:
Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. WWW 2017: 785-793 - 2016
- [c16]Shanu Sushmita, Garima Khulbe, Aftab Hasan, Stacey Newman, Padmashree Ravindra, Senjuti Basu Roy, Martine De Cock, Ankur Teredesai:
Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c15]Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu:
Optimization of Complex SPARQL Analytical Queries. EDBT 2016: 257-268 - 2015
- [c14]Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu:
Rewriting complex SPARQL analytical queries for efficient cloud-based processing. IEEE BigData 2015: 32-37 - [c13]Padmashree Ravindra, Kemafor Anyanwu:
Scaling Unbound-Property Queries on Big RDF Data Warehouses using MapReduce. EDBT 2015: 169-180 - [c12]Padmashree Ravindra, Rajeev Gupta, Kemafor Anyanwu:
Shared Execution of Clustering Tasks. BigMine 2015: 81-96 - 2014
- [c11]Padmashree Ravindra:
Towards optimization of RDF analytical queries on MapReduce. ICDE Workshops 2014: 335-339 - [c10]Fadi Maali, Padmashree Ravindra, Kemafor Anyanwu, Stefan Decker:
SYRql: A Dataflow Language for Large Scale Processing of RDF Data. ISWC (1) 2014: 147-163 - [c9]HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu:
A Semantics-Oriented Storage Model for Big Heterogeneous RDF Data. ISWC (Posters & Demos) 2014: 437-440 - 2013
- [c8]Seokyong Hong, Padmashree Ravindra, Kemafor Anyanwu:
Adaptive Information Passing for Early State Pruning in MapReduce Data Processing Workflows. ICAC 2013: 133-143 - [c7]Padmashree Ravindra, Kemafor Anyanwu:
Scalable processing of flexible graph pattern queries on the cloud. WWW (Companion Volume) 2013: 169-170 - [c6]HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu:
Optimizing RDF(S) queries on cloud platforms. WWW (Companion Volume) 2013: 261-264 - 2012
- [c5]HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu:
Scan-Sharing for Optimizing RDF Graph Pattern Matching on MapReduce. IEEE CLOUD 2012: 139-146 - [c4]Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu:
To nest or not to nest, when and how much: representing intermediate results of graph pattern queries in MapReduce based processing. SWIM 2012: 5 - 2011
- [c3]Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu:
An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce. ESWC (2) 2011: 46-61 - 2010
- [c2]Padmashree Ravindra, Vikas V. Deshpande, Kemafor Anyanwu:
Towards scalable RDF graph analytics on MapReduce. MDAC@WWW 2010: 5:1-5:6 - 2009
- [c1]Radhika Sridhar, Padmashree Ravindra, Kemafor Anyanwu:
RAPID: Enabling Scalable Ad-Hoc Analytics on the Semantic Web. ISWC 2009: 715-730
Parts in Books or Collections
- 2014
- [p1]Kemafor Anyanwu, Padmashree Ravindra, HyeongSik Kim:
Algebraic Optimization of RDF Graph Pattern Queries on MapReduce. Large Scale and Big Data 2014: 183-228
Coauthor Index
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