Semantic indexing method and device for multi-source heterogeneous aerospace data

Abstract

This application relates to a semantic indexing method and device for multi-source heterogeneous aerospace data. The method includes: obtaining multi-source heterogeneous aerospace data; establishing a time index and a spatial index according to the time and space data, obtaining metadata of the space resource data and word vectors of ontology attributes, and combining the metadata and ontology attributes according to the word vectors Carry out association, build an extended index according to the result of the association, extract the triplet of metadata description information in the space resource data, obtain the head entity word vector of the triplet, and obtain the pre-set attribute word vector for the application theme ontology, According to the head entity word vector and the attribute word vector, the metadata is associated with the application-oriented ontology, and the subject index is constructed according to the association result. When searching, the intersection is obtained according to the results of establishing the time index, spatial index, extended index, and subject index. Get the data retrieval result. This method is adopted to meet the individual retrieval requirements and improve the retrieval efficiency.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a semantic cloud indexing method and device for multi-source heterogeneous aerospace data. Background technique [0002] Due to the different purposes of aerospace and earth observation missions, the types of data generated by observations (referred to as aerospace information resources in the present invention) are different. For example, some are in photo format data, some are geographic surveying and mapping information data, and the format and content of metadata describing aerospace information resources are also different. . For such multi-source heterogeneous aerospace information resources, when users need to use aerospace information resources for certain applications, they often need to retrieve all kinds of aerospace information resources that meet the conditions, instead of searching each aerospace information resource one by one. Therefore, it is necessa...

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to address the above technical problems and provide a semantic indexing method and device for multi-source heterogeneous aerospace data that can solve the difficulty of multi-source heterogeneous aerospace data indexing

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