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An Explainable Approach to Semantic Link Mining in Multi- ...
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由 Z Wang 著作2022 — In this work, we introduce a framework for semantic link mining through knowledge graphs and rule-based link prediction.
An Explainable Approach to Semantic Link Mining in Multi- ...
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2024年11月21日 — In this work, we introduce a framework for semantic link mining through knowledge graphs and rule-based link prediction. In particular, rules ...
An Explainable Approach to Semantic Link Mining in Multi-sourced ...
Griffith University
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In this work, we introduce a framework for semantic link mining through knowledge graphs and rule-based link prediction. In particular, rules representing ...
An Explainable Approach to Semantic Link Mining in Multi- ...
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It is challenging to mine semantic links among multi-sourced data. Knowledge graphs can capture the semantics of data to support implicit links.
Advanced Data Mining and Applications: 18th International ...
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An Explainable Approach to Semantic Link Mining in Multisourced Dynamic Data. 126 ; Information Mining from Images of Pipeline Based on Knowledge Representation ...
Advanced Data Mining and Applications
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由 W Chen 著作 — An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data. Zhe Wang, Yi Sun, Hong Wu, Kewen Wang. Pages 126-141. Download ...
Advanced data mining and applications
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... An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Graph Link Prediction -- 2.2 ...
18th International Conference, ADMA 2022, Brisbane, QLD ...
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... Data Plots -- An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data -- Information Mining from Images of Pipeline Based on Knowledge ...
Semantic Data Integration | Request PDF
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ResearchGate
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An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data ... It is challenging to mine semantic links among multi-sourced data.
Leveraging Knowledge Graphs for Big Data Integration
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This article gives an overview of recent efforts focusing on integrating heterogeneous data using Knowledge Graphs. I introduce a pipeline consisting of ...