瘦削 发表于 2025-3-21 19:48:48
书目名称Metadata and Semantic Research影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0631317<br><br> <br><br>书目名称Metadata and Semantic Research读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0631317<br><br> <br><br>大门在汇总 发表于 2025-3-21 20:36:25
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1865-0929held in Madrid, Spain, in December 2020. Due to the COVID-19 pandemic the conference was held online. .The 24 full and 13 short papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in the following tracks: metadata, linked data, semantics and ontologieOintment 发表于 2025-3-22 16:06:49
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Implementing Culturally Relevant Relationships Between Digital Cultural Heritage Objectsare the predicates, and links found in each Wikipedia article to other LAM digital objects, or other Web resources are the objects of each triple. The RDF graphs thus generated are presented and discussed. The necessity of improvements in the proposed CRR vocabulary is outlined and suggestions of these changes are proposed.枫树 发表于 2025-3-23 08:47:53
An Approach for Representing and Storing RDF Data in Multi-model Databasescts of representing the RDF data structure into a multi-model data structure and discuss their advantages and disadvantages. Furthermore, we implement and evaluate the proposed approach in a prototype using ArangoDB—a popular multi-model database.