Data warehouse model for storing multidimensional knowledge

A data warehouse and knowledge technology, applied in the field of data warehouse model for storing multi-dimensional knowledge, can solve the problems of lack of data warehouse, difficult to achieve the ultimate goal of data warehouse, unable to upgrade massive data to the height of knowledge, etc., to achieve the effect of infinite association

Inactive Publication Date: 2010-11-10
北京宸瑞科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main problem of the existing data warehouse is that the data warehouse lacks a knowledge model with a solid theoretical basis, and cannot raise the massive data stored in it to the height of knowledge, so it is difficult to realize the ultimate goal of the data warehouse—knowledge discovery

Method used

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  • Data warehouse model for storing multidimensional knowledge
  • Data warehouse model for storing multidimensional knowledge

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Embodiment Construction

[0017] like figure 1 As shown, a data warehouse model for storing multi-dimensional knowledge described in the embodiment of the present invention includes: an absolute dimension layer, including an absolute time dimension module, an absolute location dimension module, and a main classification dimension module, wherein the time dimension module is divided into There are multiple levels of year, month, day, hour, minute, and second. The location dimension module is divided into country, province, city, district, county, township, and street levels. The main classification dimension module is divided into several sub-category dimension modules; the collection layer , including event modules, organization modules, and relationship modules. The collection layer includes the entity layer through its internal relative dimension layer; the relative dimension layer includes relative time dimension modules, relative location dimension modules, and role dimension modules. The time dimen...

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Abstract

The invention relates to a data warehouse model for storing multidimensional knowledge. The data warehouse model comprises an absolute dimension layer, an aggregation layer, a relative dimension layer and an entity layer, wherein the absolute dimension layer comprises an absolute time dimension module, an absolute place dimension module and a main classification dimension module; the aggregation layer comprises an event module, an organization module and a relationship module; the relative dimension layer comprises a relative time dimension layer, a relative place dimension module and a role dimension module; and the entity layer comprises a personnel module, an article module and a contact way module. The data warehouse model has the advantages of combining various kinds of multidimensional knowledge such as the time module, the place module, a classification module and the like and a plurality of aggregations such as events, organizations, family relationships, call records, flight numbers, hotels and the like, realizing knowledge discovery, realizing knowledge limitless association and finding the required knowledge rapidly.

Description

technical field [0001] The present invention mainly relates to the field of data warehouse and data mining, in particular to a data warehouse model for storing multidimensional knowledge. Background technique [0002] The main function of the data warehouse is to systematically analyze and organize the massive data accumulated by the government, enterprises and other organizations through the online transaction processing system (OLTP) over the years, through the unique data storage structure of the data warehouse theory, so as to carry out various analysis methods. Such as online analytical processing (OLAP), data mining (Data Mining), and then support the establishment of decision support systems (DSS), executive information systems (EIS), etc., to help decision makers quickly and effectively analyze useful information from massive data. Valuable information in order to make decisions and quickly respond to changes in the external environment, helping to build business int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 张为斌
Owner 北京宸瑞科技股份有限公司
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