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Top1. Introduction
The growth of domains of knowledge in our data intensive age depends particularly on the efficiency and sophistication of the processes of data production, distribution and consumption, among the corresponding community (Andriole, 2010). Specific to scientific domain, there is huge amount of data about vast number of scientific documents such as articles, books, reference works, being produced by academia and industry. Unfortunately, these documents are being published as bounded group of publisher specific resources resulting in lake of collaboration and interconnected resources for knowledge sharing. There is an urgent need to publish and share research publications data. This can enable other researchers to interconnect their data to the one that already published. Ultimately this can be used by researchers and practitioners to share their research (Kauppinen de Espindola, 2011) for better collaboration and future analysis.
The set of best practices for publishing and interconnecting distributed data has termed as Linked Open Data (LOD). These best practices are being used by increasing number of data providers (Bizer, Heath Berners-Lee, 2009; Villazón Terrazas, Vilches, Corcho Gómez-Pérez, 2011) such as government (Lebo et al., 2011), education (Lnenicka, 2015), news (Suárez Jiménez-Guarín, 2014), health (Bukhari Baker, 2013), geography (Correndo, Salvadores, Yang, Gibbins Shadbolt, 2010) and by researchers to extract semantically enriched data from different public resources such as Wikis, as community effort to publish LOD (Erxleben, Gu¨nther, Krötzsch, Mendez Vrandecic, 2014; Vrandečić Krötzsch, 2014; Lehmann et al., 2015). When it comes to the scientific publications data, very little work has been conducted (e.g. Springer., 2015, Hakimpo-ur, Arpinar Sheth, 2007) to publish LOD of scientific documents. It is also acknowledged (Blmel, Dietze, Heller, Jschke Mehlberg, 2014) that in scientific research, structured data is limited and exposed based on proprietary or less-established schemas resulting in unholistic and inconsistent view on research information.