Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching

Author:

Kim HyeongSik1,Ravindra Padmashree2,Anyanwu Kemafor1

Affiliation:

1. North Carolina State University, Raleigh, NC, USA

2. Microsoft Corporation, Redmond, WA, USA

Funder

NFS

Publisher

International World Wide Web Conferences Steering Committee

Reference33 articles.

1. Project Webpage for R-Type: A Typing Model for RDF.small http://research.csc.ncsu.edu/coul/RAPID/SemStorm. Project Webpage for R-Type: A Typing Model for RDF.small http://research.csc.ncsu.edu/coul/RAPID/SemStorm.

2. RDF Schema 1.1. https://www.w3.org/TR/rdf-schema. RDF Schema 1.1. https://www.w3.org/TR/rdf-schema.

3. RDFHive: A Distributed RDF Store Based on top of Apache Hive.small http://tyrex.inria.fr/rdfhive/home.html. RDFHive: A Distributed RDF Store Based on top of Apache Hive.small http://tyrex.inria.fr/rdfhive/home.html.

4. RDFS Entailment Pattern. http://www.w3.org/TR/rdf11-mt. RDFS Entailment Pattern. http://www.w3.org/TR/rdf11-mt.

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3. Evaluating Generalized Path Queries by Integrating Algebraic Path Problem Solving with Graph Pattern Matching;Lecture Notes in Computer Science;2019

4. A Learning-Based Semantic Approximate Query over RDF Knowledge Graph;2018 Sixth International Conference on Advanced Cloud and Big Data (CBD);2018-08

5. Selectivity Estimation for SPARQL Triple Patterns with Shape Expressions;Lecture Notes in Computer Science;2018

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