A Logical Model for Taxonomic Concepts for Expanding Knowledge using Linked Open Data

The variety of classification systems and the new discovery of taxonomists lead to the diversity of biological information, especially taxon concepts. The association among taxon concepts across research institutes is very difficult to establish, because there is no single interpretation of the name of a taxon concept. Owing to this difficulty, further integration of more biological knowledge is very complicated when they deal with many sources of data or depending on different taxon concepts. This research aimes to develop a framework for linking some multiple related taxon concepts across research repositories, and preserving background knowledge of their changes. Therefore, we propose a logical model for taxon concepts in Resource Description Framework (RDF). Herewith, we implement a prototype to demonstrate the feasibility of our approach. It has been found that our model can publish taxon information as linked data and, hence, with additional benefits from Linked Open Data (LOD) cloud.