Knowledge Reasoning Based on Knowledge Graph
- DOI
- 10.2991/icammce-18.2018.70How to use a DOI?
- Keywords
- Knowledge Reasoning, Knowledge Graph, Rule Reasoning, Neural Network
- Abstract
Nowadays, with the rapid development of Internet technology and application mode, the scale of Internet data is growing geometrically, and a large number of valuable knowledge are also in it. How to organize and express these knowledge and carry out in-depth calculation and analysis have aroused widespread concern. Grow up under the environment. Knowledge reasoning based on knowledge graph is one of the hotspots in knowledge graph research. It plays an important role in vertical search, intelligent answering and other applications. Knowledge reasoning oriented to knowledge graph aims at reasoning out new knowledge or identifying wrong knowledge based on existing knowledge. Unlike traditional knowledge reasoning, the knowledge reasoning method facing knowledge graph is also more diverse because of the concise, flexible and flexible knowledge representation in knowledge graph. This article will be based on the basic knowledge reasoning. The concept of knowledge based knowledge reasoning is introduced in recent years. In particular, knowledge reasoning can be divided into single step and multistep reasoning, because the methods are not the same. Each class can be divided into rule based reasoning, distributed representation, reasoning based on the divine network, and mixed reasoning.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chujun Tian AU - Hongzhi Yu AU - Xianghe Meng PY - 2018/05 DA - 2018/05 TI - Knowledge Reasoning Based on Knowledge Graph BT - Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018) PB - Atlantis Press SP - 317 EP - 322 SN - 2352-5401 UR - https://doi.org/10.2991/icammce-18.2018.70 DO - 10.2991/icammce-18.2018.70 ID - Tian2018/05 ER -