SWARM: An Approach for Mining Semantic Association Rules from Semantic Web Data

Author:

Barati Molood,Bai Quan,Liu Qing

Publisher

Springer International Publishing

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comprehensible Artificial Intelligence on Knowledge Graphs: A survey;Journal of Web Semantics;2023-12

2. STUDY OF THE INFLUENCE OF METRO LOADS ON THE DESTRUCTION OF NEARBY BUILDINGS AND CONSTRUCTION STRUCTURES USING BIM TECHNOLOGIES;JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT;2023-11-14

3. Ontology is what makes data interesting: Interestingness framework for COVID-19 corpora;Journal of Information Science;2023-04-05

4. Ontology-Based Method for Semantic Association Rules;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24

5. Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules;Proceedings of the 10th International Joint Conference on Knowledge Graphs;2021-12-06

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