Name
Abstract | ||
|---|---|---|
Recent years have brought great progress in efforts to digitize the world’s biodiversity data, but integrating data from many different providers, and across research domains, remains challenging. Semantic Web technologies have been widely recognized by biodiversity scientists for their potential to help solve this problem, yet these technologies have so far seen little use for biodiversity data. Such slow uptake has been due, in part, to the relative complexity of Semantic Web technologies along with a lack of domain-specific software tools to help non-experts publish their data to the Semantic Web. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/1471-2105-15-257 | BMC Bioinformatics |
Keywords | Field | DocType |
bioinformatics,internet,algorithms,computational biology,microarrays,semantics,biodiversity | World Wide Web,Biodiversity informatics,Darwin Core,Computer science,Web standards,Semantic Web,Linked data,SPARQL,Social Semantic Web,Bioinformatics,RDF | Journal |
Volume | Issue | ISSN |
15 | 1 | 1471-2105 |
Citations | PageRank | References |
5 | 0.35 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian J. Stucky | 1 | 5 | 0.35 |
| John Deck | 2 | 9 | 1.17 |
| Tom Conlin | 3 | 5 | 0.35 |
| Lukasz Ziemba | 4 | 5 | 0.35 |
| Nico Cellinese | 5 | 5 | 0.35 |
| Robert Guralnick | 6 | 31 | 5.63 |