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A supplier data analysis method and system based on an ontology

A data analysis and supplier technology, applied in database management systems, transmission systems, network data retrieval, etc., can solve the problems of lack of data standards and specifications, difficult industrial data integration, etc., to achieve the effect of ensuring accuracy

Pending Publication Date: 2019-04-09
TONGJI UNIV
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  • Application Information

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Problems solved by technology

Due to the heterogeneous and heterogeneous characteristics of industrial information resources and the lack of unified data standards, industrial data integration is difficult, which brings a series of problems to data analysis

Method used

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  • A supplier data analysis method and system based on an ontology
  • A supplier data analysis method and system based on an ontology
  • A supplier data analysis method and system based on an ontology

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Embodiment Construction

[0047] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0048] Such as Figure 6 As shown, this embodiment provides an ontology-based supplier data analysis method. Based on the user analysis request, the method uses the ontology semantic query method to obtain supplier data in the semantic layer, and then obtains the analysis result. Among them, the construction of the semantic layer specifically includes:

[0049] Step 1: Crawl supplier-related web data.

[0050] Step 2: Construct the supplier's local ontology based on the supplier's relevant web data, specifically:

[0051] The supplier-related web data is parsed into text data and s...

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Abstract

The invention relates to a supplier data analysis method and system based on an ontology. The analysis method is based on a user analysis request, supplier data are obtained in a semantic layer by utilizing an ontology semantic query method, an analysis result is further obtained. the construction of the semantic layer specifically comprises the following steps: 1) crawling supplier-related Web data; 2) constructing a supplier local ontology based on the supplier related Web data; And 3) respectively establishing a mapping relation between the supplier local ontology and the supplier global ontology and a mapping relation between the supplier local ontology and the database to form a semantic layer. Compared with the prior art, the method has the advantages that the cost is low;, Supplierdata in the Internet are analyzed into text data and structured data, supplier local ontologies are constructed for the text data and the structured data respectively, mapping between the domain ontologies and the local ontologies and mapping between the local ontologies and a database are completed through an ontology mapping technology, semantic query is achieved, and accuracy and high efficiency of data query are ensured.

Description

technical field [0001] The invention relates to the field of industrial data integration, in particular to an ontology-based supplier data analysis method and analysis system. Background technique [0002] With the development of information technology, more and more data are stored electronically to improve the convenience and efficiency of data storage, and at the same time, later analysis can be performed based on these data. [0003] The larger the amount of data analyzed by industrial big data, the more effective and valuable judgments can be obtained from the analysis. Due to the heterogeneous and heterogeneous characteristics of industrial information resources and the lack of unified data standards, it is difficult to integrate industrial data, which brings a series of problems to data analysis. Contents of the invention [0004] The purpose of the present invention is to provide an ontology-based supplier data analysis method in order to overcome the above-mentio...

Claims

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Application Information

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IPC IPC(8): G06F16/951G06F16/25G06F16/332H04L29/08
CPCH04L67/02
Inventor 王坚凌卫青陈诗芸
Owner TONGJI UNIV
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