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Research and Analysis of Semantic Search technology based on Knowledge Graph

被引：5
|
作者：
Li, Yeqing [1 ]
机构：
[1] Inner Mongolia Univ Finance & Econ, Hohhot, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 1 | 2017年
关键词：
Semantic search technology; knowledge graph; technology model; limitations;
D O I：
10.1109/CSE-EUC.2017.179
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the continuous development of society and the improvement of Internet technology, people are getting more and more dissatisfied with the current exploration of unknown world, and increasingly rigorous on the search engine requirements. As a result, semantic search technology came into being. This article mainly through the knowledge graph and semantic search technology to understand the function of this technology, as well as its limitations, improvement strategies, and the future direction of development.
引用
收藏
页码：887 / 890
页数：4
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