{"title":"基于本体的Web知识库协同构建:理论与实践","authors":"Keliang Zhang, Qinlong Fei","doi":"10.1109/NLPKE.2010.5587804","DOIUrl":null,"url":null,"abstract":"Ontology-based knowledge base plays an increasingly important role in improving the precision and recall rate of a retrieval system. Based on Distributed Learning theory, a novel approach for the co-construction of ontology-based knowledge base is explored. Making use of the platform set up for the co-construction and sharing of domain-specific knowledge through the Web, we constructed an ontology-based knowledge base of airborne radar field. This study is expected to contribute to the effective improvement of precision and recall rate of information retrieval in the airborne radar field. Hopefully, the mode we designed and adopted for the co-construction and sharing of domain-specific knowledge base could be enlightening for other similar studies.","PeriodicalId":259975,"journal":{"name":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Co-construction of ontology-based knowledge base through the Web: Theory and practice\",\"authors\":\"Keliang Zhang, Qinlong Fei\",\"doi\":\"10.1109/NLPKE.2010.5587804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology-based knowledge base plays an increasingly important role in improving the precision and recall rate of a retrieval system. Based on Distributed Learning theory, a novel approach for the co-construction of ontology-based knowledge base is explored. Making use of the platform set up for the co-construction and sharing of domain-specific knowledge through the Web, we constructed an ontology-based knowledge base of airborne radar field. This study is expected to contribute to the effective improvement of precision and recall rate of information retrieval in the airborne radar field. Hopefully, the mode we designed and adopted for the co-construction and sharing of domain-specific knowledge base could be enlightening for other similar studies.\",\"PeriodicalId\":259975,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NLPKE.2010.5587804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NLPKE.2010.5587804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Co-construction of ontology-based knowledge base through the Web: Theory and practice
Ontology-based knowledge base plays an increasingly important role in improving the precision and recall rate of a retrieval system. Based on Distributed Learning theory, a novel approach for the co-construction of ontology-based knowledge base is explored. Making use of the platform set up for the co-construction and sharing of domain-specific knowledge through the Web, we constructed an ontology-based knowledge base of airborne radar field. This study is expected to contribute to the effective improvement of precision and recall rate of information retrieval in the airborne radar field. Hopefully, the mode we designed and adopted for the co-construction and sharing of domain-specific knowledge base could be enlightening for other similar studies.