@article{2327,
  author = {Animaw Kerie, Durga Prasad Sharma},
  title = {Developing Ontolgies for Trade Products and Services},
  journal = {Journal of Information Technology Review},
  year = {2017},
  volume = {8},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jitr/fulltext/v8n3/jitrv8n3_3.pdf},
  abstract = {E-commerce is major influential domain of a digital economy worldwide. Ethiopia; a one of the fast growing
economy in the horn of Africa is a country enriched with exportable products and services but lagging behind in standardized,
structured and harmonized e-Commerce techno-economic policy systems. Further, it is also lagging in semantic retailer
website or e-business portal which adopts or follow universal and standardized vocabulary or ontology existing as on date.
Semantic web is the future web version used to amplify knowledge sharing via open systems. The key technology for the
Semantic Web is salient Ontologies. In order to automate E-business with semantic web technologies specifically for Ethiopian
business model, it needs to develop and annotate domain specific Ontologies for product offerings on the Web. In order to
improve the visibility of Ethiopian localized products and services over the latest search engines, agents and recommender
systems; a localized ontology is presented in this research paper. The Ethiopian Export Products and Services Ontology
(EEPS) have been modeled as part of this research effort. Here the ontology is derived from the existing heterogeneous
products classification using GenTax algorithm and designed as a GoodRelations compliant ontology for the vertical
industry. Since the existing standard web offers ontology (GoodRelations) is a generic in its nature. In order improve the ebusiness
this research contributes how to improve search engine optimization (SEO), web visibility and Semantic
interoperability of Ethiopian export products and services over the web using machine understandable capability.},
}