Presenting and preserving the change in taxonomic knowledge for linked data
Rathachai Chawuthai, Hideaki Takeda, Vilas Wuwongse, Utsugi Jinbo · Semantic Web · 2016
Abstract. Taxonomic knowledge provides scientific names to each living organisms and thus is one of the indispensable infor-mation to understand the biodiversity. On the other hand, the various perspectives of classifying organisms and the changes in taxonomic knowledge have led to the inconsistent classification information among different databases and repositories. To have the precise understanding of taxonomy, one needs to perform the integration of relevance data across taxonomic databases. This is difficult to establish due to the ambiguity in taxon interpretation. Most of the research in earlier stage employed the Linked Open Data (LOD) technique to establish the link in the taxonomy transition. However, they overlooked the temporal representation of taxa and underlying knowledge of the change in taxonomy, and it is difficult for users to gain perspective on how some identifiers of taxa are linked. To this end, this research aims at developing a model for presenting and preserving the change in taxonomic knowledge in the Resource Description Framework (RDF). Specifically, the proposed model takes ad-vantage of linking some Internet resources representing taxa, presenting historical information of taxa and preserving back-ground knowledge of the change in taxonomic knowledge in order to have the better understanding of organisms. We implement a prototype to demonstrate the feasibility and the performance of our approach. The results show that the proposed model is able to handle various practical cases of changes in taxonomic works and provides open and accurate access to linked data for biodiversity.