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Title |
Forms of Data Materialization in Data-Intensive Web Sites |
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Author |
Ali Ben Ammar, Abdelaziz Abdellatif, Henda Ben Ghezala |
| Citation |
Vol. 6 No. 12 pp. 84-88 |
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Abstract |
Data-Intensive Web Sites (DIWS) use a large volume of data which are stored in several databases. They serve to answer dynamic queries. That is the queries for which the response may be changed from a period of time to another or from a user to another. To carry out these queries, the required data must be generated each time from the sources. In general, the sources are distributed and heterogeneous databases. So, such queries are characterized by a highly response time that increase the server load. In this context, several tools and approaches are proposed to improve the server response time. The data materialization, which has been applied in databases and data warehouse, is a good solution to answer speedily queries in DIWS. In this paper, we will present the different forms of data materialization in DIWS. That is the data materialization in structured format, in semi-structured format, or in these two formats. The structured format is called views and the semi-structured one is called webview. A webview is a HTML document whose content is dynamically extracted from structured databases. We will compare the profits produced by the materialization of data in these three forms. Our experiments demonstrate that the best profit is produced by the combination of the structured and the semi-structured formats and that the materialization profit depends on the number of accessed sources. |
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Keywords |
Web data forms, Materialization, Data-Intensive Web Sites, Views, Webviews. |
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