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...
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| Veröffentlicht in: | Journal of applied sciences (Asian Network for Scientific Information) 2012, Vol.12 (3), p.284-288 |
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| container_end_page | 288 |
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| container_issue | 3 |
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| container_title | Journal of applied sciences (Asian Network for Scientific Information) |
| container_volume | 12 |
| creator | Ali, N H Sulaiman, S |
| description | 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. |
| doi_str_mv | 10.3923/jas.2012.284.288 |
| format | Article |
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| identifier | ISSN: 1812-5654 |
| ispartof | Journal of applied sciences (Asian Network for Scientific Information), 2012, Vol.12 (3), p.284-288 |
| issn | 1812-5654 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1762126138 |
| source | EZB-FREE-00999 freely available EZB journals; Science Alert |
| subjects | Archiving Categories Indexing Information retrieval Intervals News Temporal logic |
| title | Managing News Archive Using Temporal Data Modeling |
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