Name
Abstract | ||
|---|---|---|
The popularity of web services curating media contents has been growing since digital contents can be easily connected with each other. Since media contents from multiple sources can be integrated at various web services, it is not easy for producers of each original media content to figure out how many times their content was viewed together with which other contents on which web services. The authors propose the data model to transfer usage record at web services to media contents directly. The authors also evaluated the variety of data analysis by using the proposed data model with comparison to the existing log analysis. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/GCCE.2018.8574507 | IEEE Global Conference on Consumer Electronics |
Keywords | Field | DocType |
Data Modeling,Data Analysis,RDF,Linked Open Data | Data modeling,World Wide Web,Computer science,Popularity,Linked data,Web service,Data model,RDF | Conference |
ISSN | Citations | PageRank |
2378-8143 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Makoto Urakawa | 1 | 0 | 0.34 |
| Kenichi Arai | 2 | 9 | 9.80 |
| Toru Kobayashi | 3 | 24 | 20.21 |