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K-depth RDF Keyword Search Algorithm Based on Structure Indexing
Minho Bae, Duc Nguyen, Sanggil Kang, Sangyoon Oh
346 - 355
10.3233/978-1-61499-254-7-346
Frontiers in Artificial Intelligence and Applications
Volume 252: Advanced Methods and Technologies for Agent and Multi-Agent Systems
Abstract

Information retrieval from large scale RDF datasets is a challenging task. Because it takes much time to process query and it is hard to store a large collection of RDFs, it requires an efficient method to index and query. In this paper, we propose a novel RDF management system architecture along with indexing and querying algorithms. Our empirical experiments show our system performs substantially better than the conventional system. Also we verify the effectiveness of k-depth concept in our design with additional experiments.

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