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Scalable Keyword Search on Large RDF Data
Abstract
Keyword search is a useful tool for exploring large RDF datasets. Existing
techniques either rely on constructing a distance matrix for pruning the
search space or building summaries from the RDF graphs for query
processing. In this work, we show that existing techniques have serious
limitations in dealing with realistic, large RDF data with tens of millions of
triples. Furthermore, the existing summarization techniques may lead to
incorrect/incomplete results. To address these issues, we propose an
effective summarization algorithm to summarize the RDF data. Given a
keyword query, the summaries lend significant pruning powers to
exploratory keyword search and result in much better efficiency compared
to previous works. Unlike existing techniques, our search algorithms always
return correct results. Besides, the summaries we built can be updated
incrementally and efficiently. Experiments on both benchmark and large
real RDF data sets show that our techniques are scalable and efficient.
Existing system
Keyword search is a useful tool for exploring large RDF datasets. Existing
techniques either rely on constructing a distance matrix for pruning the

2. search space or building summaries from the RDF graphs for query
processing. In this work, we show that existing techniques have serious
limitations in dealing with realistic, large RDF data with tens of millions of
triples. Furthermore, the existing summarization techniques may lead to
incorrect/incomplete results.
Proposed system
we propose an effective summarization algorithm to summarize the RDF
data. Given a keyword query, the summaries lend significant pruning
powers to exploratory keyword search and result in much better efficiency
compared to previous works. Unlike existing techniques, our search
algorithms always return correct results. Besides, the summaries we built
can be updated incrementally and efficiently. Experiments on both
benchmark and large real RDF data sets show that our techniques are
scalable and efficient.
System Configuration:-
Hardware Configuration:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA

3. Software Configuration:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.