01222nas a2200121   4500008004100000245004400041210004400085520082500129100002500954700002000979700001700999856008401016       2015                        eng d00aAlignment Aware Linked Data Compression0 aAlignment Aware Linked Data Compression3 a<p>The success of linked data has resulted in a large amount of data being generated in a standard RDF format. Various techniques have been explored to generate a compressed version of RDF datasets for archival and transmission purpose. However, these compression techniques are designed to compress a given dataset without using any external knowledge, either through a compact representation or removal of semantic redundancies present in the dataset. In this paper, we introduce a novel approach to compress RDF datasets by exploiting alignments present across various datasets at both instance and schema level. Our system generates lossy compression based on the confidence value of relation between the terms. We also present a comprehensive evaluation of the approach by using reference alignment from OAEI.</p>
1 aJoshi, Amit, Krishna1 aHitzler, Pascal1 aDong, Guozhu  uhttps://daselab.cs.ksu.edu/publications/alignment-aware-linked-data-compression