Paper Info
Title
Monetdb/Rdf: Discovering And Exploiting The Emergent Schema Of Rdf Data
Abstract
The Resource Description Framework (RDF) has been used as the main data model for the semantic web and Linked Open Data, providing great flexibility for users to represent and evolve data without need for a prior schema. This flexibility, however, poses challenges in implementing efficient RDF stores. It i) leads to query plan with many self-joins in triple tables, ii) blocks the use of advanced relational physical storage optimization such as clustered indexes and data partitioning, and iii) the lack of a schema sometimes makes it problematic for users to comprehend the data and formulate queries [1]. In the Database Architecture group at CWI, Amsterdam, we tackle these RDF data management problems by automatically recovering the structure present in RDF data, leveraging this structure both internally inside the database systems (in storage, optimization, and execution), and externally as an emergent schema towards the users who pose queries.
Year
Venue
Field
2014
ERCIM NEWS
Data mining,RDF query language,Computer science,Linked data,SPARQL,Simple Knowledge Organization System,RDF Schema,RDF/XML,RDF,Database,Entity–attribute–value model
DocType
Volume
Issue
Journal
2014
96
ISSN
Citations 
PageRank 
0926-4981
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Minh-Duc Pham122010.55
Peter Boncz22517244.81