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面向海量RDF数据的术语集冗余划分及放置研究论文
ABSTRACT
The rapidly growing of semantic web has made partitioning on web scaled RDF
data become an important problem in distributed RDF data management.
This paper analysis the two-level structure of RDF: TBox and ABox, introduce
their different impacts on RDF data features. TBox is one of the reasons which
making RDF data a power-low graph . Design a partition framework according to
properties of the web scaled RDF data. A detailed description is given on how to
implement the framework. This paper proposes a tow level replacement including
graph partition as logical partition and range partition as physical partition. This
replacement combines the Low communication overhead from graph partition and
Dynamic sharding from range partition. An experiment on subset of DBpedia which
has more than 52 million triples proves that TBox-replication method can efficiently
reduce the edge cut; another BGP test shows that System with TBox-replication can
improve performance on complex SPARQL queries.
Analysis and experiment show that the partition framework is good for web
scaled RDF data partition, dramatically decrease the edge cut by small redundancy.
And then improve the performance of SPARQL queries. The partition framework
provides a good data distribution management for high level computing.
KEY WORDS: Resource Description Framework; Graph Partition; Scale Free;
Terminology Box
目 录
目 录4
第一章 绪论 1
1.1 研究背景 1
1.2 研究目标和主要内容2
1.3 论文结构安排2
第二章 相关工作综述3
2.1 RDF 存储系统研究现状3
2.1.1 链接数据与RDF 3
2.1.2 SPARQL 简介4
2.1.3 基于RDBMS 的RDF 存储系统5
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