• Corpus ID: 1743365

An Efficient SQL-based RDF Querying Scheme

@inproceedings{Chong2005AnES,
  title={An Efficient SQL-based RDF Querying Scheme},
  author={Eugene Inseok Chong and Souripriya Das and George Eadon and Jagannathan Srinivasan},
  booktitle={VLDB},
  year={2005}
}
Devising a scheme for efficient and scalable querying of Resource Description Framework (RDF) data has been an active area of current research. [] Key Method Specifically, it introduces a SQL table function RDF_MATCH to query RDF data. The results of RDF_MATCH table function can be further processed by SQL's rich querying capabilities and seamlessly combined with queries on traditional relational data.

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References

SHOWING 1-10 OF 14 REFERENCES
RQL: a declarative query language for RDF
TLDR
A new RDF query language called RQL is proposed, which is a typed functional language (a la OQL) and relies on a formal model for directed labeled graphs permitting the interpretation of superimposed resource descriptions by means of one or more RDF schemas.
Three Implementations of SquishQL, a Simple RDF Query Language
TLDR
A conceptual model for querying RDF data that refines ideas first presented in at the W3C workshop on Query Languages and the design of one possible syntax, derived from [7], that is suitable for application programmers are described.
RStar: an RDF storage and query system for enterprise resource management
TLDR
This paper presents an RDF storage and query system called RStar for enterprise resource management, which uses a relational database as the persistent data store and defines RStar Query Language (RSQL) for resource retrieval.
Efficient RDF Storage and Retrieval in Jena2
TLDR
This paper describes the persistence subsystem of Jena2 which is intended to support large datasets and query optimization for RDF is identified as a promising area for future research.
Materialized Views in Oracle
TLDR
The ability to rewrite a large class of queries based on a small set of MVs is supported by using Dimensions, losslessness of joins, functional dependency, column equivalence, join derivability, joinback and aggregate rollup.
WordNet: A Lexical Database for English
TLDR
WordNet1 provides a more effective combination of traditional lexicographic information and modern computing, and is an online lexical database designed for use under program control.
DataCartridge Developer'sGuideRelease2(9.2)PartNo.A96595- 01,OracleCorporation
  • DataCartridge Developer'sGuideRelease2(9.2)PartNo.A96595- 01,OracleCorporation
  • 2002
First InternationalWorkshoponSemanticWeband Databases
  • First InternationalWorkshoponSemanticWeband Databases
  • 2003
RQL:ADeclarativeQuery LanguageforRDF
  • RQL:ADeclarativeQuery LanguageforRDF
  • 2002
...
...