Abstract
Linked entity data in metadata records builds a foundation for the Semantic Web. Even though metadata records contain rich entity data, there is no linking between associated entities such as persons, datasets, projects, publications, or organizations. We conducted a small experiment using the dataset collection from the Hubbard Brook Ecosystem Study (HBES), in which we converted the entities and their relationships into RDF triples and linked the URIs contained in RDF triples to the corresponding entities in the Ecological Metadata Language (EML) records. Through the transformation program written in XML Stylesheet Language (XSL), we turned a plain EML record display into an interlinked semantic web of ecological datasets. The experiment suggests a methodological feasibility in incorporating linked entity data into metadata records. The paper also argues for the need for change in the scientific as well as the general metadata paradigm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 128-136 |
| Number of pages | 9 |
| Journal | Proceedings of the International Conference on Dublin Core and Metadata Applications |
| State | Published - 2010 |
| Event | 10th International Conference on Dublin Core and Metadata Applications, DC-2010 - Pittsburgh, PA, United States Duration: Oct 20 2010 → Oct 22 2010 |
Keywords
- Ecological data
- Metadata for data sets
- Scientific metadata
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Software