{"title":"基于大数据驱动的领域知识图谱构建方法","authors":"Ning Wang, E. Haihong, Meina Song, Y. Wang","doi":"10.1109/INFOMAN.2019.8714664","DOIUrl":null,"url":null,"abstract":"Most of the published research work mainly emphasizes one aspect of knowledge graph construction in isolation and neglects the big data processing flow in this process, which lacks of value in the practical construction of knowledge graph. Therefore, the paper proposes a construction method of domain knowledge graph based on big data-driven and build an artificial intelligence domain knowledge graph to prove the feasibility of this method, which covers artificial intelligence enterprises, patents, news, technology labels and other entities.","PeriodicalId":186072,"journal":{"name":"2019 5th International Conference on Information Management (ICIM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Construction Method of Domain Knowledge Graph Based on Big Data-driven\",\"authors\":\"Ning Wang, E. Haihong, Meina Song, Y. Wang\",\"doi\":\"10.1109/INFOMAN.2019.8714664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of the published research work mainly emphasizes one aspect of knowledge graph construction in isolation and neglects the big data processing flow in this process, which lacks of value in the practical construction of knowledge graph. Therefore, the paper proposes a construction method of domain knowledge graph based on big data-driven and build an artificial intelligence domain knowledge graph to prove the feasibility of this method, which covers artificial intelligence enterprises, patents, news, technology labels and other entities.\",\"PeriodicalId\":186072,\"journal\":{\"name\":\"2019 5th International Conference on Information Management (ICIM)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Information Management (ICIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOMAN.2019.8714664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Information Management (ICIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOMAN.2019.8714664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Construction Method of Domain Knowledge Graph Based on Big Data-driven
Most of the published research work mainly emphasizes one aspect of knowledge graph construction in isolation and neglects the big data processing flow in this process, which lacks of value in the practical construction of knowledge graph. Therefore, the paper proposes a construction method of domain knowledge graph based on big data-driven and build an artificial intelligence domain knowledge graph to prove the feasibility of this method, which covers artificial intelligence enterprises, patents, news, technology labels and other entities.
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