| Web Data Aggregation in MOLAP： Approach,Language, and Implementation |
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| 引用本文： | 朱焱,唐慧佳,马永强.Web Data Aggregation in MOLAP： Approach,Language, and Implementation[J].西南交通大学学报(英文版),2007,15(3):179-186. |
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| 作者姓名： | 朱焱 唐慧佳 马永强 |
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| 作者单位： | School of Information Science and Technology Southwest Jiaotong University，School of Information Science and Technology，Southwest Jiaotong University，School of Information Science and Technology，Southwest Jiaotong University，Chengdu 610031，China，Chengdu 610031，China，Chengdu 610031，China |
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| 基金项目： | Foundation item The National Natural Science Foundation of China （ No. 60573165） |
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| 摘 要： | This paper investigates the Web data aggregation issues in multidimensional on-line analytical processing (MOLAP) and presents a rule-driven aggregation approach. The core of the approach is defining aggregate rules. To define the rules for reading warehouse data and computing aggregates, a rule definition languagearray aggregation language (AAL) is developed. This language treats an array as a function from indexes to values and provides syntax and semantics based on monads. External functions can be called in aggregation rules to specify array reading, writing, and aggregating. Based on the features of AAL, array operations are unified as function operations, which can be easily expressed and automatically evaluated. To implement the aggregation approach, a processor for computing aggregates over the base cube and for materializing them in the data warehouse is built, and the component structure and working principle of the aggregation processor are introduced.
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| 关 键 词： | 网络数据聚集 聚集语言 MOLAP 聚集处理期 |
| 文章编号： | 1005-2429（2007）03-0179-08 |
| 修稿时间： | 2006-10-26 |
Web Data Aggregation in MOLAP: Approach, Language, and Implementation |
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| ZHU Yan,TANG Hui-jia,MA Yong-qiang.Web Data Aggregation in MOLAP: Approach, Language, and Implementation[J].Journal of Southwest Jiaotong University,2007,15(3):179-186. |
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| Authors: | ZHU Yan TANG Hui-jia MA Yong-qiang |
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| Institution: | School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | This paper investigates the Web data aggregation issues in multidimensional on-line analytical processing (MOLAP) and presents a rule-driven aggregation approach. The core of the approach is defining aggregate rules. To define the rules for reading warehouse data and computing aggregates, a rule definition languagearray aggregation language (AAL) is developed. This language treats an array as a function from indexes to values and provides syntax and semantics based on monads. External functions can be called in aggregation rules to specify array reading, writing, and aggregating. Based on the features of AAL, array operations are unified as function operations, which can be easily expressed and automatically evaluated. To implement the aggregation approach, a processor for computing aggregates over the base cube and for materializing them in the data warehouse is built, and the component structure and working principle of the aggregation processor are introduced. |
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| Keywords: | Web data aggregation Aggregation language MOLAP Aggregation processor |
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