Personalized News Media Extraction and Archival Framework with News Ordering and Localization

Indigenous knowledge is a collective fact generated by local communities all over the world about nature, technology, health, natural resources, etc. The preservation and propagation of this valuable resource can be effectively achieved through media. Presently, information and communication technology plays a vital role in daily lives of the people. The news desk journalist works on the principle of accessing new archives and extracting an idea from the past and reworking it with the present. Yet scrolling through this tremendous amount of information can be hectic. The proposed system of personalized news extraction helps the journalists in identifying the semantically matching news by making use of ontology. Localization and news ordering are the two main features included in the proposed sustainable framework. The localization focuses on extracting news about traditional knowledge. One of the potential elements that determine the news value of a news story is its occurring place. News ordering deals with the listing of news for a query that is specific to the location from where it has been broadcasted. Further studies are required to improve news ordering by discovering how each news event affects the lives of the local community.