Scalable Keyword Search on Large RDF Data

Provided by: The University of Tulsa
Topic: Big Data
Format: PDF
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 paper, the authors 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, they propose an effective summarization algorithm to summarize the RDF data.

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