找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Web Data APIs for Knowledge Graphs; Easing Access to Sem Albert Meroño-Peñuela,Pasquale Lisena,Carlos Martí Book 2021 Springer Nature Switz

[复制链接]
楼主: foresight
发表于 2025-3-28 15:56:22 | 显示全部楼层
Accessing Knowledge Graphs Programmatically,languages use graph-based patterns to specify the criteria under which we want to query the data. Usually, these queries are manually written, tested through trial and error, and incrementally refined and improved until the users gets exactly what is needed.
发表于 2025-3-28 18:55:08 | 显示全部楼层
发表于 2025-3-28 23:46:49 | 显示全部楼层
Accessing Knowledge Graphs Programmatically,languages use graph-based patterns to specify the criteria under which we want to query the data. Usually, these queries are manually written, tested through trial and error, and incrementally refined and improved until the users gets exactly what is needed.
发表于 2025-3-29 03:19:00 | 显示全部楼层
Web Data APIs Over SPARQL,various SPARQL libraries available for programming languages. This has provided us with some additional tools, on top of just manually writing and executing queries, toward their generalization and parametrization: in large applications we need query templates to avoid query re-writing.
发表于 2025-3-29 09:45:38 | 显示全部楼层
发表于 2025-3-29 11:30:16 | 显示全部楼层
Conclusion and Future Challenges,ata on the Web, and query languages (in particular SPARQL) as a means to access the wealth of information in those Knowledge Graphs. We also pointed out some of the challenges that developers face when using these query languages, and in particular how they differ with the overwhelmingly common paradigm of Web Data APIs.
发表于 2025-3-29 16:49:21 | 显示全部楼层
发表于 2025-3-29 21:49:19 | 显示全部楼层
Conclusion and Future Challenges,ata on the Web, and query languages (in particular SPARQL) as a means to access the wealth of information in those Knowledge Graphs. We also pointed out some of the challenges that developers face when using these query languages, and in particular how they differ with the overwhelmingly common paradigm of Web Data APIs.
发表于 2025-3-30 00:03:09 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-9 03:54
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表