SOR: An optimized semantic ontology retrieval algorithm for heterogeneous multimedia big data

Journal of Computational Science(2018)

引用 41|浏览16
暂无评分
摘要
•An optimized algorithm using big data processing tools to store and retrieve ontology from heterogeneous multimedia data is proposed.•The model definition and all the algorithms are designed.•A MapReduce based retrieval framework is presented for parallel processing SOR in distributed nodes.•To achieve high retrieval precision and good user experience, a user feedback scheme is designed.
更多
查看译文
关键词
Ontology,Semantic-based retrieval,MapReduce,Multimedia big data,Big data retrieval,Retrieval algorithm
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要