Semantic-based multi-modal spatio-temporal data association method

A spatio-temporal data and multi-modal technology, applied in the field of geospatial information systems, can solve the problems that time, space and rich content semantic multi-modal spatio-temporal data cannot be fully applied, and there are few studies on ontology models.

Active Publication Date: 2020-01-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0008] The above data semantic association methods are mainly aimed at ordinary text, image and video data, etc., only considering the characteristics of data content, and cannot be fully applied to multi-modal spatio-temporal data with time, space and rich content semantics
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[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0033] Aiming at the time, space and content semantic features of multi-modal spatio-temporal data, the present invention proposes a semantic-based multi-modal spatio-temporal data association model by making full use of ontology resource descriptions to obtain standardized semantic expressions. The spatiotemporal data association model realizes the association processing of geospatial data (spatiotemporal data).

[0034] The semantic-based multimodal spatiotemporal data association model of the present invention includes three parts: multimodal spatiotemporal data semantic expression ontology model, spatiotemporal data feature-semantic mapping module, and multimodal spatiotemporal data semantic association model;

[0035] Among them, t...

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Abstract

The invention discloses a semantic-based multi-modal spatio-temporal data association method, and belongs to the technical field of geographic space information systems. According to the method, the constructed ontology model is used for carrying out feature-semantic mapping and conceptualized semantic expression on the data, complex semantic information of the multi-modal spatio-temporal data iseffectively described in a unified format, and the problem that a computer is difficult to understand semantic content information of the data is solved; meanwhile, based on ontology semantic expression of the spatio-temporal data, time association, space association and content object semantic association between the spatio-temporal data are established through three factors of time, space and objects contained in data content, and association between the multi-modal spatio-temporal data is effectively carried out. The method is mainly used for cross-modal retrieval of multi-modal spatio-temporal data, an accurate and comprehensive data link association processing result is provided for a user, and then the cross-modal retrieval performance is improved.

Description

technical field [0001] The invention belongs to the technical field of geographic space information systems, in particular to a semantic-based multi-mode spatio-temporal data association model. Background technique [0002] With the rapid development of Internet technology, the content of spatio-temporal data is increasingly rich, the source is more and more extensive, and the storage format is diversified. Different data are often related to each other. The research on the association query of massive spatio-temporal data is becoming more and more important. Spatiotemporal data is mixed data with spatiotemporal characteristics, diverse types, and complex modalities, including geographic videos, images, vector maps, trajectory data, and positioning data, etc. These data not only contain rich temporal, spatial, and semantic information, but also have multidimensional , multi-scale, multi-temporal characteristics, and multi-modal characteristics. The multi-modal characteristic...

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Application Information

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IPC IPC(8): G06F16/901
CPCG06F16/901
Inventor 周艳杨清清蒋璠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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