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A new structure for representing and tracking version information in a deep time knowledge graph
Computers & Geosciences ( IF 4.2 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.cageo.2020.104620 Xiaogang Ma , Chao Ma , Chengbin Wang
Computers & Geosciences ( IF 4.2 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.cageo.2020.104620 Xiaogang Ma , Chao Ma , Chengbin Wang
Abstract Ontologies and vocabularies are an effective way to promote data interoperability in open data and open science. The deep time knowledge graph is one of the most discussed and studied topics in geoscience ontologies and vocabularies. The continuous evolution of deep time concepts calls for a mechanism of version control and organization to reduce the semantic ambiguity. In this paper we propose a new structure for version control and tracking of concepts, attributes and topological relationships in the deep time knowledge graph. In our work we have reused the existing ontologies for geologic time scale and vocabularies for the International (Chrono)stratigraphic Chart (ISC). Through the new structure, we are able to represent the whole version history of the ISC charts (from 2004 to 2018) in a single knowledge graph. Moreover, the resulting knowledge graph is consistent with the existing ontologies and vocabularies. Experiments of SPARQL queries prove the efficiency of this structure for version tracking of concepts and attributes. We are now extending the knowledge graph with concepts from regional and local geologic time standards, such as North America, Europe, Britain, China, and Australia, and building a graphic user interface for the services. In a future work, we will implement the knowledge graph in data integration workflows. We hope this research will spur more discussion and development of methods for version control of knowledge graphs in geoscience and other disciplines.
更新日期：2020-12-01
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