Semantic Retrieval System for Nigerian Onion Domain Ontology

Abstract

With the recent Nigerian Government’s effort to diversify its economy, several efforts have been put in place by the Government to revitalize Nigerian Agricultural sector as part of the diversification effort. Part of effort put in place to revitalize Agriculture it to encourage local and international investment into Agriculture in the country.  However, due to lack of enough information on the agricultural activities in the country remains a challenge in the revitalization of the country’s agriculture. Although Google and other search engines provide access to data on the Web, these search engines are base on traditional keyword search and therefore lack semantics which affect the effectiveness of the retrieved results.   This paper presents semantic document retrieval of Nigerian Onion domain. The work involves developing Ontology for Nigerian Onion domain. Protégées Ontology editor is then used to store the Ontology and OWL-DL query is used to retrieve the documents semantically.  To measure the effectiveness of the proposed work, precision and recall evaluation metrics were used.

Keywords: Ontology, Onion, Information Retrieval, Semantic Retrieval, Domain