@conference {684,
	title = {LinkGen: Multipurpose linked data generator},
	booktitle = {International Semantic Web Conference},
	year = {2016},
	pages = {113{\textendash}121},
	publisher = {Springer},
	organization = {Springer},
	author = {Joshi, Amit Krishna and Pascal Hitzler and Dong, Guozhu}
}
@conference {496,
	title = {Alignment Aware Linked Data Compression},
	booktitle = {Joint International Semantic Technology Conference},
	year = {2015},
	abstract = {<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>
},
	author = {Joshi, Amit Krishna and Pascal Hitzler and Dong, Guozhu}
}
@conference {175,
	title = {Logical linked data compression},
	booktitle = {The Semantic Web: Semantics and Big Data.10th Extended Semantic Web Conference, ESWC 2013, Montpellier, France, May 26-30, 2013. },
	year = {2013},
	pages = {170{\textendash}184},
	publisher = {Springer},
	organization = {Springer},
	author = {Joshi, Amit Krishna and Pascal Hitzler and Dong, Guozhu}
}
@conference {176,
	title = {Towards logical linked data compression},
	booktitle = {Proceedings of the Joint Workshop on Large and Heterogeneous Data and Quantitative Formalization in the Semantic Web, LHD+ SemQuant2012, at the 11th International Semantic Web Conference, ISWC2012},
	year = {2012},
	author = {Joshi, Amit Krishna and Pascal Hitzler and Dong, Guozhu}
}
