面向属性发现的协同迭代搜索系统研究与实现

互联网上包含了大量实体的属性信息,如人物的别名、籍贯、出生年月、商品的价格、制造商等。通过搜索引擎获取此类信息时,需要从搜索结果中列出的页面中一一去查找,同时无关结果项较多,查找效率低。为了解决如何在网络上快速准确地获取特定实体属性信息的问题,提出一个面向属性发现的协同迭代搜索系统模型,并给出一种系统的实现。最后通过实验验证了系统的可用性。

Research and Implementation of Attribute Discovery Oriented Collaborative and Iterative Search System

Large amount of attribute information of entities are available on the web,such as a person＇s alias,native place,date of birth,or the price and manufacturer of a commodity etc.To obtain such information by search engine,one need to go through every webpage listed in the search results returned by the engine,and among which many items are not much related to the search keyword.These all leads to low efficiency work.In order to solve the problem of how to quickly and accurately obtain the specific entity attribute information,an attribute discovery oriented collaborative and iterative search system model is proposed in this paper,and also presents an implementation of the system.At the end,experiment is conducted to verify the availability of the system.