Managing News Archive Using Temporal Data Modeling

This study focuses on the usage of temporal concept in news archiving. Specifically, we present temporal data using timestamp technique and information retrieval using indexing technique for news history data management. News can be classified into four temporal characteristics such as title of news, time status, categories and year era. Time status and year era characteristics involve temporal logic of the retrieval process which can be categorized into five modes, i.e., before, after, interval, meet by and meets. Based on this concept, the combination of reference material of news archiving becomes easier, more efficient and accurate.