Semantic net based large scale offline data analysis framework

A data analysis and semantic web technology, applied in database update, electronic digital data processing, structured data retrieval, etc., can solve problems such as difficulty in information exchange, inability to reuse, and data is not standardized for storage and processing, so as to improve organizational capabilities. Effect
CN106570081AInactive Publication Date: 2017-04-19TONGJI UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
TONGJI UNIV
Publication Date
2017-04-19
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention relates to a semantic net based large scale offline data analysis framework. The large scale offline data analysis framework includes a data acquisition layer, a body layer, a data storage layer, a semantic layer, a data analysis layer and an application layer. A data source includes dynamic data and static data, and the static data includes data and database internal logic semantic and structure type. The static data is established into a body model in the analysis framework; the static data is extracted and modeled, and then the static data orients a user or an upper analysis task in a semantic service manner. The large scale offline data analysis framework can effectively improve the ability to organizing multi-source heterogeneous offline data and has a uniform interface to upper data; and application users or data analysis workers can access a lower data source through a semantic interface without knowing all the information of different data sources, and relevant data information is acquired. The large scale offline data analysis framework can effectively update the whole data source from a global perspective by correction of the body structure having changed content and update and inference service built in an application tool.
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Description

technical field

[0001] The invention relates to a large-scale offline data analysis framework based on semantic web. Background technique

[0002] With the maturity of the new generation of information technology, the concepts of the Internet of Things, mobile Internet, and cloud computing are gradually accepted by individuals and enterprises. A large amount of data and information is growing at the PB level every day. How to process, analyze and obtain big data Valuable knowledge has become the ultimate focus of research by major institutions and companies. Big data is an important resource for enterprises to reconstruct the value chain, tap potential economic growth points, and drive independent innovation in the new era. Big data research also involves various fields, such as transportation, medical care, finance, Internet, public management, industry, service industry and scientific research in universities.

[0003] Similarly, the processing and analysis of big data r...

Claims

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