Downloads provided by UsageCounts
We present SocialLink, a publicly available Linked Open Data dataset that matches social media accounts on Twitter to the corresponding entities in multiple language chapters of DBpedia. By effectively bridging the Twitter social media world and the Linked Open Data cloud, SocialLink enables knowledge transfer between the two: on the one hand, it supports Semantic Web practitioners in better harvesting the vast amounts of valuable, up-to-date information available in Twitter; on the other hand, it permits Social Media researchers to leverage DBpedia data when processing the noisy, semi-structured data of Twitter. Code: https://github.com/Remper/sociallink Website: http://sociallink.futuro.media/
{"references": ["Nechaev et al., Linking Knowledge Bases to Social Media Profiles, In: Proc. of ACM SAC 2017", "Nechaev et al., SocialLink: Linking DBpedia entities to corresponding Twitter accounts, In: International Semantic Web Conference 2017", "Nechaev et al., SocialLink: Exploiting Graph Embeddings to Link DBpedia Entities to Twitter Profiles, Progress in Artificial Intelligence 2018"]}
Social Media, Linked Open Data, Entity Matching, Machine Learning
Twitter Data
Social Media, Linked Open Data, Entity Matching, Machine Learning
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 87 | |
| downloads | 37 |

Views provided by UsageCounts
Downloads provided by UsageCounts