计算机与现代化Issue(12)：71-76,6.DOI:10.3969/j.issn.1006-2475.2017.12.014
知识图谱中的语义推理算法
Semantic Reasoning for Knowledge Graph
摘要
Abstract
For the purpose of improving the adaptability of the query reasoning system to the highly dynamic and rapidly expanding knowledge graph returning more efficient,real-time and accurate results to the users,a reasoning algorithm based on semantic tensor is proposed through comparative study of the prevailing knowledge graph reasoning algorithms.Two open network knowledge graphs were selected and simplified to be tested and trained by this algorithm.The experimental results show that this algorithm can adapt to the highly dynamic and consistently evolving data and information of the knowledge graph,improve the accuracy of the reasoning,intelligence of the search engine,and save the memory.关键词
知识图谱/语义张量/数据降维/矩阵分解/推理Key words
knowledge graph/semantic tensor/dimension reduction/matrix factorization/reasoning分类
信息技术与安全科学引用本文复制引用
郭琳,翟社平,高山..知识图谱中的语义推理算法[J].计算机与现代化,2017,(12):71-76,6.基金项目
陕西省教育厅科学研究计划项目(12JK0733) （12JK0733）
陕西省社会科学基金资助项目(2016N008) （2016N008）
西安市社会科学规划基金资助项目(17X63) （17X63）
西安邮电大学研究生创新基金资助项目(114-602080105) （114-602080105）
