摘要
为有效解决目前维吾尔语的语义知识库构建中存在的专家构建周期长、工作量大且难以动态更新等问题,提出基于众包的维吾尔语多源语义知识库平台的构建。该平台集词条创建、词条审核、任务管理等功能为一体,利用基于互联网用户协作的众包方式,融合维吾尔语词典与语料库的语义资源,构建大规模、开放式的维吾尔语多源语义知识库。在充分研究众包模式及其发展现状后,对众包平台构建中质量控制、激励机制关键问题进行探讨,提出平台的设计思路与框架,并进一步实现了基于众包的维吾尔语多源语义知识库平台。实例表明,该平台为维吾尔语的语义知识库构建提供了一种全新的方法,且能有效解决知识库的实时更新问题。
In order to solve the problems of long time, large workload and difficult to update in the construction of semantic knowledge base of Uygur language, the structure of multi-source semantic knowledge base platform based on crowdsourcing was proposed. The platform set entry, entry audit, task management and other functions as a whole, adopting crowdsourcing method based on Internet user collaboration and integrating Uighur dictionary and corpus semantic resources to construct a large-scale and open Uygur language multi-source semantic knowledge base. After fully studying crowdsourcing model and its development status, this paper probed into the key problems of quality control and incentive mechanism in the construction of crowdsourcing platform, put forward the design idea and framework of the platform, and further realized the platform of Uighur multi source semantic knowledge base based on crowdsourcing. The example shows that the platform provides a new method for constructing the semantic knowledge base of Uygur language, and solves the real-time updating problem of the knowledge base effectively.
作者
赖茹
杨勇
任鸽
Lai Ru,Yang Yong,Ren Ge(1.College of Computer Science and Technology, Xinjiang Normal University, Urumchi 830054,Xinjiang,Chin)
出处
《计算机应用与软件》
北大核心
2018年第8期137-142,225,共7页
Computer Applications and Software
基金
教育部人文社会科学研究规划基金项目(16XJJC740002)
国家语委"十三五"科研规划基金项目(YB135-8)
新疆师范大学博士科研启动基金项目(XJNUBS1609)
关键词
众包
维吾尔语语义知识库
质量控制
激励机制
Crowdsourcing
Semantic knowledge base of Uygur language
Quality control
Incentive mechanism
