Linking Entities in Scientific Metadata
Qin, Jian; Chen, Miao
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.
Presented at the CUL Metadata Working Group Forum on October 15, 2010
Metadata Working Group, Cornell University Library
Scientific metadata; Linked data