Establishing Dynamic Ontology for Agriculture Domain
Suzan Ellakwa, Passent Elkafrawy · The Egyptian Journal of Language Engineering /The Egyptian Journal of Language Engineering · 2017
This paper presents semi-automated system for establishing integrated ontology by merging two ontologies. Ituses two processes: matching and merging. Matching process uses string-based technique, this technique uses fourmethods: exact method to detect identical terms, and substring, suffix and prefix methods to compare between terms.Using these four methods altogether improve the effectiveness of matching process, matching process uses alsolanguage-based techniques; this technique uses WordNet Method to detect terms that have the same meaning. Thistechnique improves also the effectiveness of matching process. The proposed system presents a merging method oftaxonomies in effective way. The system solves redundancy and inconsistency problem in integrated ontology.Theproposed system is applied on the agricultural domain for Faba Bean crop to get an integrated ontology, it can beapplied also on all crops whatever field crops or horticulture crops. The evaluation of the system shows that theperformance of the system has high quality. The comparison of the proposed system and other systems shows that theproposed system has advantage of using five matching methods for mapping between terms that make the mappingbetween terms more perfect and efficient. The merger algorithm solves problems which appeared in other systems.