智慧搜索中的实体与关联关系建模与挖掘  

Entity-relation modeling and discovery for smart search

作　　者：王晓阳[1] 郑骁庆[1] 肖仰华[1] 

机构地区：[1]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

出　　处：《通信学报》2015年第12期17-27,共11页Journal on Communications

基　　金：国家自然科学基金资助项目(61370080);上海市自然科学基金资助项目(13ZR1403800)~~

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。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：大搜索 实体与关系建模 知识图谱 知识仓库 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]