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      Ozymandias: a biodiversity knowledge graph

      research-article
      PeerJ
      PeerJ Inc.
      Knowledge graph, Biodiversity informatics, Linked data, Identifiers, Challenge

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          Abstract

          Enormous quantities of biodiversity data are being made available online, but much of this data remains isolated in silos. One approach to breaking these silos is to map local, often database-specific identifiers to shared global identifiers. This mapping can then be used to construct a knowledge graph, where entities such as taxa, publications, people, places, specimens, sequences, and institutions are all part of a single, shared knowledge space. Motivated by the 2018 GBIF Ebbe Nielsen Challenge I explore the feasibility of constructing a “biodiversity knowledge graph” for the Australian fauna. The data cleaning and reconciliation steps involved in constructing the knowledge graph are described in detail. Examples are given of its application to understanding changes in patterns of taxonomic publication over time. A web interface to the knowledge graph (called “Ozymandias”) is available at https://ozymandias-demo.herokuapp.com.

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          Most cited references37

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          NETWORKS OF SCIENTIFIC PAPERS.

          D. Price (1965)
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              How many species are there on Earth?

              R M May (1988)
              This article surveys current answers to the factual question posed in the title and reviews the kinds of information that are needed to make these answers more precise. Various factors affecting diversity are also reviewed. These include the structure of food webs, the relative abundance of species, the number of species and of individuals in different categories of body size, along with other determinants of the commonness and rarity of organisms.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                8 April 2019
                2019
                : 7
                : e6739
                Affiliations
                [-1] IBAHCM, MVLS, University of Glasgow , Glasgow, United Kingdom
                Article
                6739
                10.7717/peerj.6739
                6459178
                36171b58-faea-4947-91b2-ecf9f2444e3d
                ©2019 Page

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 19 December 2018
                : 7 March 2019
                Funding
                The authors received no funding for this work.
                Categories
                Biodiversity
                Bioinformatics
                Taxonomy
                Data Mining and Machine Learning

                knowledge graph,biodiversity informatics,linked data,identifiers,challenge

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