Customizable Web information integration method and system

Abstract

The invention discloses a customizable Web information integration method and a customizable Web information integration system. The method comprises the following steps of: 1) appointing uniform resource locator (URL) sets with different service data sources by a user; 2) acquiring record sets from the service data sources by using a data extraction server according to the difference of service data source types; and generating extraction rules corresponding to the data sources according to data fields appointed by the user; 3) acquiring data from different data sources according to the generated extraction rules and organizing the data to obtain a result record set; and 4) filtering the result record set by using a filter; and outputting and displaying integration data. The method and the system are suitable to be used for establishing Mashup of a structure with a large amount of data and complex data, and do not need a terminal user to participate and program in the secondary development in an establishment process; personalized extraction and aggregation can be provided on a data plane, so that the user can design a personalized display style and a personalized data display style conveniently; and the rapid establishment of logical Mashup can be ensured.

Description

technical field [0001] The invention relates to a customizable Web information integration method and system for end users, which can guide users to customize information integration applications simply and quickly, and provide an operating environment for the integrated applications, belonging to the technical field of software applications. Background technique [0002] The advent of the Web2.0 era has accelerated the explosive growth of network information. Today's Internet contains massive amounts of data and resources, with many types, large quantities, and wide distribution, which is not convenient for end users to accurately query the data. On the other hand, the information required by users is generally obtained through reorganization and reprocessing of data from multiple data sources. In many cases, users need to access multiple Web services to obtain source data, and then manually summarize and filter to obtain the parts they are interested in, so as to obtain i...

AI Technical Summary

Problems solved by technology

[0012] (1) If you need to build a mashup application with a large amount of data and a complex data structure, you need secondary development of the services provided by the mashup tool, so it is not suitable for end users

[0013] (2) Personalized extraction and aggregation can be provided at the data level, allowing users to specify interested Web datasets, and the system can extract them on their behalf, but for the presentation layer, it is not convenient to set personalized display styles and data display methods

[0014] (3) It is not possible to generate interactive operations between applications based on simple user settings, thus limiting the rapid construction of logical Mashups

Images