publications Article OpenBiodiv: A Knowledge Graph for Literature-Extracted Linked Open Data in Biodiversity Science Lyubomir Penev 1,2,* , Mariya Dimitrova 1,3 , Viktor Senderov 4, Georgi Zhelezov 1, Teodor Georgiev 1 , Pavel Stoev 1,5 and Kiril Simov 3 1 Pensoft Publishers, Prof. Georgi Zlatarski Street 12, 1700 Sofia, Bulgaria;
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[email protected] (G.Z.);
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[email protected] (P.S.) 2 Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 2 Gagarin Street, 1113 Sofia, Bulgaria 3 Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev St., Block 25A, 1113 Sofia, Bulgaria;
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[email protected] 5 National Museum of Natural History, 1 Tsar Osvoboditel Blvd, 1000 Sofia, Bulgaria * Correspondence:
[email protected] Received: 23 April 2019; Accepted: 24 May 2019; Published: 29 May 2019 Abstract: Hundreds of years of biodiversity research have resulted in the accumulation of a substantial pool of communal knowledge; however, most of it is stored in silos isolated from each other, such as published articles or monographs. The need for a system to store and manage collective biodiversity knowledge in a community-agreed and interoperable open format has evolved into the concept of the Open Biodiversity Knowledge Management System (OBKMS). This paper presents OpenBiodiv: An OBKMS that utilizes semantic publishing workflows, text and data mining, common standards, ontology modelling and graph database technologies to establish a robust infrastructure for managing biodiversity knowledge. It is presented as a Linked Open Dataset generated from scientific literature.