QB4OLAP:SemanticWeb上OLAP多维数据集的新词汇表?QB4OLAP: A New Vocabulary for OLAP Cubes on the SemanticWeb? |
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课程网址: | http://videolectures.net/iswc2012_etcheverry_olap_cubes/ |
主讲教师: | Lorena Etcheverry |
开课单位: | 共和国大学 |
开课时间: | 2012-12-03 |
课程语种: | 英语 |
中文简介: | 在线分析处理(OLAP)工具允许查询称为数据仓库(DW)的大型多维(MD)数据库。语义Web(SW)上的OLAP样式数据分析正在获得动力,因此需要SW技术来建模,操作和共享MD数据。为此,需要定义充分表示OLAP数据的词汇表。不幸的是,到目前为止,这方面的建议都遵循不同的道路。一方面,QB词汇表(W3C政府关联数据工作组的提案)遵循最初设计用于分析统计数据的模型,但不足以支持OLAP多维数据。另一个最近的提议,Open Cube词汇表(OC)紧跟OLAP的经典MD模型,允许将OLAP运算符实现为SPARQL查询,但不提供重用已使用QB发布的数据的机制。在这项工作中,我们提出了一个新的词汇表,表示为QB4OLAP,它扩展了QB以完全支持OLAP模型和运算符。我们展示了如何使用QB4OLAP词汇表在OLB中分析已经在QB中发布的数据,反之亦然。为此,我们提供了构建允许执行两种分析的结构的算法,并且表明QB和QB4OLAP之间的兼容性可以以低成本实现,仅添加维度信息。 |
课程简介: | On-Line Analytical Processing (OLAP) tools allow querying large multidimensional (MD) databases called data warehouses (DW). OLAP-style data analysis over the semantic web (SW) is gaining momentum, and thus SW technologies will be needed to model, manipulate, and share MD data. To achieve this, the definition of a vocabulary that adequately represents OLAP data is required. Unfortunately, so far, the proposals in this direction have followed different roads. On the one hand, the QB vocabulary (a proposal by the W3C Government Linked Data Working Group) follows a model initially devised for analyzing statistical data, but does not adequately support OLAP multidimensional data. Another recent proposal, the Open Cube vocabulary (OC) follows closely the classic MD models for OLAP and allows implementing OLAP operators as SPARQL queries, but does not provide a mechanism for reusing data already published using QB. In this work, we propose a new vocabulary, denoted QB4OLAP, which extends QB to fully support OLAP models and operators.We show how data already published in QB can be analyzed à la OLAP using the QB4OLAP vocabulary, and vice versa. To this end we provide algorithms that build the structures that allow performing both kinds of analysis, and show that compatibility between QB and QB4OLAP can be achieved at low cost, only adding dimensional information. |
关 键 词: | 在线分析处理; 数据仓库; 大型多维数据库 |
课程来源: | 视频讲座网 |
最后编审: | 2019-05-08:cjy |
阅读次数: | 76 |