Unstructured data resource identification and locating method based on URL (Uniform Resource Locator)

Abstract

The invention relates to an unstructured data resource identification and locating method based on a URL (Uniform Resource Locator) and belongs to the technical field of unstructured data. According to the method, an abstract model comprising multiple aspects such as a characteristic attribute, a content attribute and a basic attribute is created for the unstructured data; a data resource is expressed through adoption of an URL identifier; and an identification rule is designed for the model of the unstructured data. For a complicated condition access submitted by a user, a data identification server resolves a condition, carries out similarity match on the condition and stored unstructured data identifiers to obtain a matched identification resource address and returns the identification resource address to a user. The user can access a data resource according to the returned resource address. Through application of the method, the unstructured data is uniformly abstracted as a URL identification resource, and the access and application of the unstructured data with described details can be supported well.

Description

technical field [0001] The invention belongs to the technical field of unstructured data, and relates to a URL-based unstructured data resource identification and positioning method. Background technique [0002] With the advent of the era of mobile Internet and big data, the degree of informatization continues to deepen. Emerging services such as cloud computing, the Internet of Things, and social networks have led to an unprecedented growth in the types and scale of data in human society. In recent years, driven by Internet giants at home and abroad, unstructured data has grown exponentially. Since the existing unstructured data does not have a unified data model, the data processing method is often based on XML files, and the unstructured data is converted into structured data through attribute feature extraction and other methods, and finally dumped into the traditional database. system. Due to the diversity of unstructured data, traditional processing methods may caus...

AI Technical Summary

Problems solved by technology

[0004] 1) Using traditional XML to process unstructured data is inefficient, and it is impossible to locate and access resources under complex conditions

[0005] 2) The current processing and extraction of unstructured data has destroyed the integrity of data information to a large extent

[0006] 3) Under complex access conditions, it is difficult for existing data models to accurately locate unstructured data resources

Images