Abstract
This paper presents early findings from a larger study, into the use of linked data in the rail domain. The study and other literature has shown there to be benefits from improved integration of data in this domain and proposes that linked data in general and ontology in particular will address this. The paper will set out the current state of data integration in the British rail domain, highlighting issues found there. The manner in which linked data is employed in the broader transport domain will then be examined along with previous work pertaining to the rail domain.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Big Data |
| Publisher | IEEE |
| Pages | 35-41 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781479956654 |
| DOIs | |
| Publication status | Published - 8 Jan 2015 |
| Event | 2nd IEEE International Conference on Big Data 2014 - Washington, United States Duration: 27 Oct 2014 → 30 Oct 2014 |
Conference
| Conference | 2nd IEEE International Conference on Big Data 2014 |
|---|---|
| Abbreviated title | Big Data 2014 |
| Country/Territory | United States |
| City | Washington |
| Period | 27/10/14 → 30/10/14 |
Keywords
- Linked Data
- Ontology
- Railway data
- Semantic Data
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems