| 摘要: |
| 作为语义网的数据支撑，知识图谱在知识问答、语义搜索等领域起着至关重要的作用，一直以来也是研究领域和工程领域的一个热点问题，但是，构建一个质量较高、规模较大的知识图谱往往需要花费巨大的人力和时间成本.如何平衡准确率和效率、快速地构建出一个高质量的领域知识图谱，是知识工程领域的一个重要挑战.对领域知识图谱构建方法进行了系统研究，提出了一种准确、高效的领域知识图谱构建方法——"四步法"，将该方法应用到中国基础教育九门学科知识图谱的构建中，在较短时间内构建出了准确率较高的学科知识图谱，证明了该方法构建领域知识图谱的有效性.以地理学科知识图谱为例，使用"四步法"共得到67万个实例、1 421万条三元组，其中，标注数据的学科知识覆盖率和知识准确率均在99%以上. |
| 关键词: 语义网 知识图谱 本体 语义标注 实体集扩充 关系抽取 |
| DOI：10.13328/j.cnki.jos.005552 |
| 分类号: |
| 基金项目:国家高技术研究发展计划（863）（2015AA015401） |
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| Accurate and Efficient Method for Constructing Domain Knowledge Graph |
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YANG Yu-Ji, XU Bin, HU Jia-Wei, TONG Mei-Han, ZHANG Peng, ZHENG Li
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Knowledge Engineering Group, Department of Computer and Sciences, Tsinghua University, Beijing 100084, China
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| Abstract: |
| In supporting semantic Web, knowledge graphs have played a vital role in many areas such as knowledge QA and semantic search. Therefore, they have become a hot topic in the field of research and engineering. However, it is often costly to build a large-scale knowledge graph with high accuracy. How to balance the accuracy and efficiency, and quickly build a high-quality domain knowledge graph, is a big challenge in the field of knowledge engineering. This paper engages a systematic study on the construction of domain knowledge graphs, and puts forward an accurate and efficient method of constructing domain knowledge graphs as "four-steps". This method has been applied to the construction of knowledge graphs of nine subjects in the k12 education of China, and the nine subject knowledge graphs have been developed with high accuracy, which demonstrates that the new method is effective. For example, the geographical knowledge graph, which is constructed using the "four-steps" method, has 670 thousand instances and 14.21 million triples. And as part of it, the annotation data's knowledge coverage and knowledge accuracy are both above 99%. |
| Key words: semantic Web knowledge graph ontology semantic annotation entity set expansion relation extraction |
