The Open Cybernetics & Systemics Journal

2014, 8 : 984-989
Published online 2014 December 31. DOI: 10.2174/1874110X01408010984
Publisher ID: TOCSJ-8-984

Research of Marine Organism Ontology Semi-Automatic Construction

Jing Xiong , Yuntong Liu , Jianfang Wang and Yihua Lan
School of Computer and Information Technology, Nanyang Normal University, Nanyang, Henan, 473061, China.

ABSTRACT

Marine creature is the most active subject in marine ecological system. The interactions among them are complex and important. Ontology as a sharing concept formal model can well express these relationships. In order to solve the role problem of marine organisms in these complex problems protean relationships, we introduced the role theory of Hoze and used it to describe the relationships. On this basis, we chose Text2Onto to realize the automatic acquisition of the ontology elements first, and then through the artificial confirmation and used Hozo to edit, thus completed the semi automation of marine organism ontology construction. Experimental results demonstrate this semi-automatic ontology building method can reach high accuracy and recall in marine organism field.

Keywords:

Hozo, instance extraction, marine organism ontology, ontology learning, relation extraction, text2Onto.