Entity-relation modeling and discovery for smart search

Sean WANGX; Xiao-qing ZHENG; Yang-hua XIAO

doi:10.11959/j.issn.1000-436x.2015311

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Entity-relation modeling and discovery for smart search

Search | 更新时间：2024-06-05

- Entity-relation modeling and discovery for smart search
- Journal on Communications Vol. 36, Issue 12, Pages: 178-189(2015)
- 作者机构：
  
  复旦大学计算机科学技术学院上海市数据科学重点实验室，上海 201203
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61370080);Shanghai Municipal Natural Science Foundation(13ZR1403800)
- DOI：10.11959/j.issn.1000-436x.2015311
  CLC： TP393
- Online First：2015-12，
  
  Published：25 December 2015
- 稿件说明：
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Sean WANGX, Xiao-qing ZHENG, Yang-hua XIAO. Entity-relation modeling and discovery for smart search[J]. Journal on Communications, 2015, 36(12): 178-189.
DOI：

Sean WANGX, Xiao-qing ZHENG, Yang-hua XIAO. Entity-relation modeling and discovery for smart search[J]. Journal on Communications, 2015, 36(12): 178-189. DOI： 10.11959/j.issn.1000-436x.2015311.

摘要

随着网络搜索空间从互联网扩展到人、机、物互联的泛在网络空间，以及大数据时代的到来，传统的搜索引擎已经不能满足时代的需求，新时代的搜索引擎技术——大搜索（或称智慧搜索）概念应运而生。因此，讨论实现大搜索所需关键技术之一的实体与关联关系建模与挖掘，以及相关的设计思想和实现技术。

Abstract

Nowadays

by connecting the mobile networks

Internet of Things and the sensor networks to the Internet

the cyberspace has expanded to a ubiquitous space of human beings

machines and things.Combining with the technology of big data

the traditional search engines are evolving into their next generation—big search (or smart search).Entity-relation modeling and discovery are the key techniques to fulfill the vision of smart search.Approaches to model the entities and their relations in large scale by knowledge graph and knowledge warehouse

and ways to discovery new entities and the relations between them in the cyberspace are discussed.

关键词

Keywords

references

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