| KDS-CM： A Cache Mechanism Based on Top-K Data Source for Deep Web Query |
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| 引用本文： | KOU Yue SHEN Derong YU Ge LI Dong NIE Tiezheng. KDS-CM： A Cache Mechanism Based on Top-K Data Source for Deep Web Query[J]. 武汉大学学报:自然科学英文版, 2007, 12(5): 830-834. DOI: 10.1007/s11859-007-0042-8 |
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| 作者姓名： | KOU Yue SHEN Derong YU Ge LI Dong NIE Tiezheng |
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| 作者单位： | [1]College of Information Science and Engineering, Northeastem University, Shenyang 110004, Liaoning, China [2]Business Software Division, Neusoft Group Limited Company, Shenyang 110004, Liaoning, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （60673139, 60473073, 60573090） |
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| 摘 要： | Caching is an important technique to enhance the efficiency of query processing. Unfortunately, traditional caching mechanisms are not efficient for deep Web because of storage space and dynamic maintenance limitations. In this paper, we present on providing a cache mechanism based on Top-K data source （KDS-CM） instead of result records for deep Web query. By integrating techniques from IR and Top-K, a data reorganization strategy is presented to model KDS-CM. Also some measures about cache management and optimization are proposed to improve the performances of cache effectively. Experimental results show the benefits of KDS-CM in execution cost and dynamic maintenance when compared with various alternate strategies.
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| 关 键 词： | 深层互联网 高速缓存 数据整编 数据优化 |
| 文章编号： | 1007-1202（2007）05-0830-05 |
| 收稿时间： | 2007-02-23 |
| 修稿时间： | 2007-02-23 |
KDS-CM: A cache mechanism based on top-K data source for Deep Web query |
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| Kou Yue,Shen Derong,Yu Ge,Li Dong,Nie Tiezheng. KDS-CM: A cache mechanism based on top-K data source for Deep Web query[J]. Wuhan University Journal of Natural Sciences, 2007, 12(5): 830-834. DOI: 10.1007/s11859-007-0042-8 |
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| Authors: | Kou Yue Shen Derong Yu Ge Li Dong Nie Tiezheng |
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| Affiliation: | (1) College of Information Science and Engineering, Northeastern University, Shenyang, 110004, Liaoning, China;(2) Business Software Division, Neusoft Group Limited Company, Shenyang, 110004, Liaoning, China |
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| Abstract: | Caching is an important technique to enhance the efficiency of query processing. Unfortunately, traditional caching mechanisms are not efficient for deep Web because of storage space and dynamic maintenance limitations. In this paper, we present on providing a cache mechanism based on Top-K data source (KDS-CM) instead of result records for deep Web query. By integrating techniques from IR and Top-K, a data reorganization strategy is presented to model KDS-CM. Also some measures about cache management and optimization are proposed to improve the performances of cache effectively. Experimental results show the benefits of KDS-CM in execution cost and dynamic maintenance when compared with various alternate strategies. Biography: KOU Yue(1980–), female, Ph.D. candidate, research direction: Deep Web, query processing. |
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| Keywords: | cache Top-K Deep Web data reorganization cache management and optimization |
| 本文献已被 维普 SpringerLink 等数据库收录！ |
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