Guan-Shuo Mai, Yu-Hwang Wang, Y. Hsia, S. Lu, Chau-Chin Lin
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Linked Open Data of Ecology (LODE): A New Approach for Ecological Data Sharing
The purpose of this paper is to report and discuss the use of a linked data approach on existing related databases on forest fires, plant specimens, insect collections, forest dynamics plot censuses, and Taiwanese species checklists. We adopted the linked data approach to connect together data intrinsically related from distributed databases. The approach developed a workflow through 4 steps to integrate and publish human- and machine-readable ecological data as linked open data on the web. Results from our work can be found at the web site http://ecowlim.tfri.gov.tw. We conclude that the linked data approach is a new way to improve and advance ecological data sharing.
期刊介绍:
The Taiwan Journal of Forest Science is an academic publication that welcomes contributions from around the world. The journal covers all aspects of forest research, both basic and applied, including Forest Biology and Ecology (tree breeding, silviculture, soils, etc.), Forest Management (watershed management, forest pests and diseases, forest fire, wildlife, recreation, etc.), Biotechnology, and Wood Science. Manuscripts acceptable to the journal include (1) research papers, (2) research notes, (3) review articles, and (4) monographs. A research note differs from a research paper in its scope which is less-comprehensive, yet it contains important information. In other words, a research note offers an innovative perspective or new discovery which is worthy of early disclosure.