K-depth RDF Keyword Search Algorithm Based on Structure Indexing
Bae Minho, Nguyen Duc, Kang Sanggil, Sangyoon Oh · Frontiers in artificial intelligence and applications · 2013
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.