TLGM-QL:基于图模型的Web数据分析性查询语言

TLGM-QL:Analytical Query Language of Web Data Based on Graph Model

随着万维网规模和应用的飞速发展,如何有效存储和利用Web数据已成为计算机科学诸多研究领域的巨大挑战。针对这些迫切的需要,介绍一种新的Web分析工具TLGM-QL(tagged and labeled graph modelquery language),用户只需要编写描述性的类SQL分析性查询语句,即可获得对于以图形式组织的Web数据分析结果。用户不需要关心底层的实现,系统可将TLGM-QL查询语句生成物理执行计划分配给集群高度并行执行,最终返回查询结果。

With the rapid development of world wide web （web or WWW） and the explosion of web data, storage and utilization of web data has become a big challenge to many computer communities. Although some commercial and academic tools emerged recent years, comprehensive information, which consists of structure, content ,time and user behavior in web,are not fully studied. A new web analysis tool,TLGM-QL（tagged and labeled graph model query language）,a declarative language is proposed. TLGM-QL can be compiled into physical plans and distributed into each node to parallel implement automatically over clusters ,finally query results will be returned efficiently.