Inproceedings,

kOre: Using Linked Data for OpenScience Information Integration

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SEMANTiCS 2015, (2015)

Abstract

While the amount of data on the Web grows at 57% per year, the Web of Science maintains a considerable amount of inertia, as yearly growth varies between 1.6% and 14%. On the other hand, the Web of Science consists of high quality information created and reviewed by the international community of researchers. While it is a complicated process to switch from traditional publishing methods to methods, which enable data publishing in machine-readable formats, the situation can be improved by at least exposing metadata about the scientific publications in machine-readable format. In this paper we aim at metadata, hidden inside universities' internal databases, reports and other hard to discover sources. We extend the VIVO ontology and create the VIVO+ ontology. We define and describe a framework for automatic conversion of university data to RDF. We showcase the VIVO+ ontology and the framework using the example of the ITMO university.

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