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Honeycomb rectifier data diversion and data conversion method based on semantic net body

A data and ontology technology, applied in the field of data diversion and data conversion, to achieve the effect of data interconnection, unified format, and real-time data transmission

Active Publication Date: 2017-05-31
语义(上海)信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, there is a lack of a method in the art for directly connecting different types of data sources (such as Oracle, Mysql, PostgreSQL, Sql server, XML, CSV, Excel, etc.) in a unified and automated manner, and converting them into Unified data format (RDF), filtering private data at the same time, and finally transmitting RDF data to a third-party database platform

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  • Honeycomb rectifier data diversion and data conversion method based on semantic net body
  • Honeycomb rectifier data diversion and data conversion method based on semantic net body
  • Honeycomb rectifier data diversion and data conversion method based on semantic net body

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Embodiment Construction

[0035] In the present invention, the driving link and visual display of data refer to the link driving of integrating different data sources, such as static archive file data (CSV, Excel, XML) and dynamic database data (such as: Mysql, Oracle, PostgreSQL, SQL Server) , as one. For static archive file data, users can control fields offline before docking; for dynamic database data, when users enter their own database address and account number, the system displays all tables and field information in a visual way on webpages and forms for The user performs a selection operation.

[0036] In the present invention, the mode of realizing the driving link and the visual presentation of the data of different data sources can be as follows: for the data source of dynamic database data (such as: Mysql, Oracle, PostgreSQL, SQL Server), can provide through the database such as JDBC The driver loads and queries the tables and data fields of the database; for data sources of static archiv...

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Abstract

The invention discloses a honeycomb rectifier data diversion and data conversion method based on a semantic net body. The method comprises the steps that (1) data sources are initialized, driving links of different data source data are loaded according to the types of the selected data sources, the data are displayed in a visible page manner, and a data sheet comprising sheet and data field information is obtained; (2) the sheets and the data fields which can be put in public in the data sheet are selected; (3) an OWL / RDF mapping file is generated according to the sheets and the data fields selected in the step (2) and records the sheets and the data fields which are put in public; (4) RDF instance data and an OWL body file are generated correspondingly according to the instance data in each line in the conversion data source of the OWL / RDF mapping file and the concept and attribute relation described in the OWL.RDF; (5) the RDF instance data and the OWL body file which are generated by conversion are encrypted, authorized and transmitted to a cloud storage semantic database.

Description

technical field [0001] The invention belongs to the field of computer databases, and more specifically relates to data diversion and data conversion. Background technique [0002] In big data, data mining or related fields, researchers generally use crawlers to crawl webpage data, but due to the variety of data formats, it is difficult to effectively obtain a large amount of high-quality and accurate data; and the timeliness of the data is not high. And managing this data takes a lot of time and money costs. Furthermore, even if some data providers provide an API interface or can directly obtain data (such as through purchase), most of the data sources of enterprises, institutions or government departments do not provide a unified data management method, so It is still very difficult to get more extensive real-time data. [0003] The Semantic Web and its ontology technology is a standardized, distributed, machine-readable data schema. This technology can quickly and effec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F11/14
Inventor 王东升陈涛刘金贵田野
Owner 语义(上海)信息科技有限公司