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/).

Download article (PDF)

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  -