ConceptRDF:概念网知识库的RDF表示

Erfan Najmi, Zaki Malik, Khayyam Hashmi, A. Rezgui
{"title":"ConceptRDF:概念网知识库的RDF表示","authors":"Erfan Najmi, Zaki Malik, Khayyam Hashmi, A. Rezgui","doi":"10.1109/IACS.2016.7476101","DOIUrl":null,"url":null,"abstract":"The exponential growth of information on the Web has prompted the introduction of new technologies such as Semantic Web and Common Sense knowledge bases. While there are different models available to present information, RDF, as the cornerstone of Semantic Web technologies, has a dominant place for formats suitable both for human interactions and machine understanding. In this paper we present ConceptRDF, a conversion of ConceptNet, as one of the largest common sense knowledge bases available for public use, to RDF/XML format, suitable for use in different fields of information retrieval.","PeriodicalId":6579,"journal":{"name":"2016 7th International Conference on Information and Communication Systems (ICICS)","volume":"1 1","pages":"145-150"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"ConceptRDF: An RDF presentation of ConceptNet knowledge base\",\"authors\":\"Erfan Najmi, Zaki Malik, Khayyam Hashmi, A. Rezgui\",\"doi\":\"10.1109/IACS.2016.7476101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The exponential growth of information on the Web has prompted the introduction of new technologies such as Semantic Web and Common Sense knowledge bases. While there are different models available to present information, RDF, as the cornerstone of Semantic Web technologies, has a dominant place for formats suitable both for human interactions and machine understanding. In this paper we present ConceptRDF, a conversion of ConceptNet, as one of the largest common sense knowledge bases available for public use, to RDF/XML format, suitable for use in different fields of information retrieval.\",\"PeriodicalId\":6579,\"journal\":{\"name\":\"2016 7th International Conference on Information and Communication Systems (ICICS)\",\"volume\":\"1 1\",\"pages\":\"145-150\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th International Conference on Information and Communication Systems (ICICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACS.2016.7476101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Information and Communication Systems (ICICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACS.2016.7476101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

Web上信息的指数级增长促使了诸如语义网和常识知识库等新技术的引入。虽然有不同的模型可用于表示信息,但RDF作为语义Web技术的基石,在适合人类交互和机器理解的格式方面占有主导地位。在本文中,我们介绍了ConceptRDF,将ConceptNet(可用于公共使用的最大的常识知识库之一)转换为RDF/XML格式,适用于不同的信息检索领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ConceptRDF: An RDF presentation of ConceptNet knowledge base
The exponential growth of information on the Web has prompted the introduction of new technologies such as Semantic Web and Common Sense knowledge bases. While there are different models available to present information, RDF, as the cornerstone of Semantic Web technologies, has a dominant place for formats suitable both for human interactions and machine understanding. In this paper we present ConceptRDF, a conversion of ConceptNet, as one of the largest common sense knowledge bases available for public use, to RDF/XML format, suitable for use in different fields of information retrieval.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信