计算机工程与应用2012，Vol.48Issue(19)：243-248,6.DOI:10.3778/j.issn.1002-8331.2012.19.055
实时异构集成数据自适应模板解析算法
Parsing algorithm based on adaptive templates for real-time heterogeneous data
朱利 1常飞 2何金星 3米玥 1田元强4
作者信息
- 1. 西安交通大学软件学院,西安710049
- 2. 中国工程物理研究院计算机应用研究所,四川绵阳621900
- 3. 西安交通大学电子与信息工程学院计算机系,西安710049
- 4. 西安交通大学管理学院技术经济与管理系,西安710049
- 折叠
摘要
Abstract
Variety and expanding of user requirements must be considered while collected real-time heterogeneous integration data is parsed and stored by on-line monitoring system. This is a difficult point. For resolving the problem, this paper proposes a heterogeneous data parsing algorithm based on adaptive templates which is applied in on-line environment monitor system. According to integration data, user table designed as user requirement and template construction rule, template is set up to describe the mappings between integration data and user tables. Parsing algorithm parses integration data as templates and stores the results. As the experiment shows, this approach has good performance, and is common' and expanded.关键词
实时异构集成数据/自适应模板/解析算法Key words
real-time heterogeneous integration data/ adaptive template/ parsing algorithm分类
信息技术与安全科学引用本文复制引用
朱利,常飞,何金星,米玥,田元强..实时异构集成数据自适应模板解析算法[J].计算机工程与应用,2012,48(19):243-248,6.
