图 书 馆
词汇术语的演变及其对LOD云的影响分析Analyzing the Evolution of Vocabulary Terms and their Impact on the LOD Cloud |
|
| 课程网址: | http://videolectures.net/eswc2018_abdel_qader_vocabulary_terms/ |
| 主讲教师: | Mohammad Abdel Qader |
| 开课单位: | 基尔基督教阿尔布雷希特斯大学 |
| 开课时间: | 2018-07-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Vocabularies are used for modeling data in Knowledge Graphs (KGs) like the Linked Open Data Cloud and Wikidata. During their lifetime, vocabularies are subject to changes. New terms are coined, while existing terms are modified or deprecated. We first quantify the amount and frequency of changes in vocabularies. Subsequently, we investigate to which extend and when the changes are adopted in the evolution of KGs. We conduct our experiments on three large-scale KGs for which time-stamped information is available, namely the Billion Triples Challenge datasets, Dynamic Linked Data Observatory dataset, and Wikidata. Our results show that the change frequency of terms is rather low, but can have high impact due to the large amount of distributed graph data on the web. Furthermore, not all coined terms are used and most of the deprecated terms are still used by data publishers. The adoption time of terms coming from different vocabularies ranges from very fast (few days) to very slow (few years). Surprisingly, we could observe some adoptions before the vocabulary changes were published. Understanding the evolution of vocabulary terms is important to avoid wrong assumptions about the modeling status of data published on the web, which may result in difficulties when querying the data from distributed sources. |
| 关 键 词: | 建模知识图; 量化词汇; 数据建模 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-24：chenjy |
| 最后编审: | 2023-05-11：chenjy |
| 阅读次数: | 49 |