Large scale citation matching using Apache Hadoop

During the process of citation matching links from bibliography entries to referenced publications are created. Such links are indicators of topical similarity between linked texts, are used in assessing the impact of the referenced document and improve navigation in the user interfaces of digital libraries. In this paper we present a citation matching method and show how to scale it up to handle great amounts of data using appropriate indexing and a MapReduce paradigm in the Hadoop environment.Comment: 11 pages, 4 figure

Taming the zoo - about algorithms implementation in the ecosystem of Apache Hadoop

Content Analysis System (CoAnSys) is a research framework for mining scientific publications using Apache Hadoop. This article describes the algorithms currently implemented in CoAnSys including classification, categorization and citation matching of scientific publications. The size of the input data classifies these algorithms in the range of big data problems, which can be efficiently solved on Hadoop clusters.Comment: This paper (with changed content) appeared under the title "Content Analysis of Scientific Articles in Apache Hadoop Ecosystem" in "Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation", "Studies in Computational Intelligence", Volume 541, 2014, http://link.springer.com/book/10.1007/978-3-319-04714-