FarsBase-KBP：一个波斯语知识图谱的知识库填充系统
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph
摘要：
虽然大多数知识库已经支持英语，但只有一个波斯语知识库，称为FarsBase，它是通过半结构化网络信息自动创建的。与拥有巨大社区支持的英语知识库（如Wikidata）不同，FarsBase等知识库的人口必须依赖于自动提取的知识。知识库人口可以让FarsBase保持规模增长，因为系统继续工作。在本文中，我们提出了一个知识库人口系统的波斯语，从未标记的原始文本中提取知识，从Web上抓取。该系统包括一组最先进的模块，如实体链接模块以及信息和关系抽取模块设计的FarsBase。此外，引入了一个规范化系统，将提取的关系与FarsBase属性联系起来。然后，该系统使用知识融合技术与人类专家的最小干预，整合和过滤适当的知识实例，提取每个模块。为了评估所提出的知识库人口系统的性能，我们提出了第一个黄金数据集，用于对波斯语中的知识库人口进行基准测试，该数据集由22015个FarsBase三元组组成，并由人类专家进行了验证。评估结果表明，所提出的系统的效率。
英文摘要：
While most of the knowledge bases already support the English language, there is only one knowledge base for the Persian language, known as FarsBase, which is automatically created via semi-structured web information. Unlike English knowledge bases such as Wikidata, which have tremendous community support, the population of a knowledge base like FarsBase must rely on automatically extracted knowledge. Knowledge base population can let FarsBase keep growing in size, as the system continues working. In this paper, we present a knowledge base population system for the Persian language, which extracts knowledge from unlabeled raw text, crawled from the Web. The proposed system consists of a set of state-of-the-art modules such as an entity linking module as well as information and relation extraction modules designed for FarsBase. Moreover, a canonicalization system is introduced to link extracted relations to FarsBase properties. Then, the system uses knowledge fusion techniques with minimal intervention of human experts to integrate and filter the proper knowledge instances, extracted by each module. To evaluate the performance of the presented knowledge base population system, we present the first gold dataset for benchmarking knowledge base population in the Persian language, which consisting of 22015 FarsBase triples and verified by human experts. The evaluation results demonstrate the efficiency of the proposed system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
