国内外知识融合研究现状比较分析

摘要

在知识服务的实现进程中，大数据拓宽了知识服务的宽度和广度，但与此同时也给知识服务带来了新的难题。知识融合作为大数据环境下对知识进行收集、分析、处理的有效途径已然成为国内外学者关注的焦点。为了更好地服务于国内在该领域的研究，本文将从关键技术、体系结构和应用三个方面深入分析和比较国内外在知识融合方面的研究现状，并在此基础上对我国知识融合研究进行述评，且提出针对性的建议，以期为我国在该领域的深入研究提供借鉴和参考。%During the process of the realization of knowledge service, Big Data has broaden the width and breadth, while also brought new problems to knowledge service at the same time . Knowledge fusion, as an effective approach of knowledge collecting, analyzing, and handling, has become the focus of scholars both at home and abroad. In order to better serve the domestic research in this field, the article analyzes corresponding research from the aspects of key technology, system structure and application at home and abroad. Based on above research, it reviews knowledge fusion research status of our country to provide reference and reference for in-depth study.