Padmashree Ravindra

Publication Activity (10 Years)

Years Active: 2009-2017
Publications (10 Years): 4

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WWW (Companion Volume)

IEEE Internet Comput.

Publications

HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. WWW (2017)
HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop. IEEE BigData (2017)
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)
Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
Optimization of Complex SPARQL Analytical Queries. EDBT (2016)
Padmashree Ravindra, Kemafor Anyanwu
Scaling Unbound-Property Queries on Big RDF Data Warehouses using MapReduce. EDBT (2015)
Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
Rewriting complex SPARQL analytical queries for efficient cloud-based processing. IEEE BigData (2015)
Padmashree Ravindra, Rajeev Gupta, Kemafor Anyanwu
Shared Execution of Clustering Tasks. BigMine (2015)
Fadi Maali, Padmashree Ravindra, Kemafor Anyanwu, Stefan Decker
SYRql: A Dataflow Language for Large Scale Processing of RDF Data. ISWC (1) (2014)
HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
A Semantics-Oriented Storage Model for Big Heterogeneous RDF Data. ISWC (Posters & Demos) (2014)
Padmashree Ravindra, Kemafor Anyanwu
Nesting Strategies for Enabling Nimble MapReduce Dataflows for Large RDF Data. Int. J. Semantic Web Inf. Syst. 10 (1) (2014)
Padmashree Ravindra
Towards optimization of RDF analytical queries on MapReduce. ICDE Workshops (2014)
Kemafor Anyanwu, HyeongSik Kim, Padmashree Ravindra
Algebraic Optimization for Processing Graph Pattern Queries in the Cloud. IEEE Internet Comput. 17 (2) (2013)
Padmashree Ravindra, Kemafor Anyanwu
Scalable processing of flexible graph pattern queries on the cloud. WWW (Companion Volume) (2013)
Seokyong Hong, Padmashree Ravindra, Kemafor Anyanwu
Adaptive Information Passing for Early State Pruning in MapReduce Data Processing Workflows. ICAC (2013)
HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
Optimizing RDF(S) queries on cloud platforms. WWW (Companion Volume) (2013)
HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
Scan-Sharing for Optimizing RDF Graph Pattern Matching on MapReduce. IEEE CLOUD (2012)
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)
Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce. ESWC (2) (2011)
HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra. Proc. VLDB Endow. 4 (12) (2011)
Padmashree Ravindra, Vikas V. Deshpande, Kemafor Anyanwu
Towards scalable RDF graph analytics on MapReduce. MDAC@WWW (2010)
Radhika Sridhar, Padmashree Ravindra, Kemafor Anyanwu
RAPID: Enabling Scalable Ad-Hoc Analytics on the Semantic Web. ISWC (2009)