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An unstructured multi-source data fusion method based on knowledge graph is proposed. Building a data tracking model to integrate unstructured multi-source ...
The current unstructured multi-source data fusion has insufficient application of data attributes, which leads to unsatisfactory data fusion results.
Knowledge Graph-Based Approach to Unstructured Multi-Source Data Fusion. Zhengxiong Mao, Tao Chuan, Jing Zhou, Wenwei Su, Yingjun He, Donghui Mei, Chenglin ...
A knowledge graph-supported information fusion approach for ...
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In our proposed method, we leverage multiple features from different sources, such as time-series data and domain knowledge represented in the knowledge graph, ...
A graph-based multi-modal data fusion framework is proposed for identifying urban functional zone. •. A flexible feature-level fusion based on attention ...
This paper analyzes 780 important papers in CNKI from 1994 to 2019. Through simple analysis, statistical analysis is performed on the number of publications, ...
This model can flexibly deal with complex multi-source heterogeneous data and retain more comprehensive semantic and structural information and defines the ...
Aug 11, 2022 · In this paper, a graph fusion and embedding method for multi-source heterogeneous information of Chinese stock market is established.
A multi-source heterogeneous data fusion method of an electric power optical communication system based on a knowledge graph relates to a multi-source ...
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Aug 11, 2022 · In this paper, a graph fusion and embedding method for multi-source heterogeneous information of Chinese stock market is established.