Embedding Data within Knowledge Spaces
Abstract
The promise of e-Science will only be realized when data is discoverable, accessible, and comprehensible within distributed teams, across disciplines, and over the long-term--without reliance on out-of-band (non-digital) means. We have developed the open-source Tupelo semantic content management framework and are employing it to manage a wide range of e-Science entities (including data, documents, workflows, people, and projects) and a broad range of metadata (including provenance, social networks, geospatial relationships, temporal relations, and domain descriptions). Tupelo couples the use of global identifiers and resource description framework (RDF) statements with an aggregatable content repository model to provide a unified space for securely managing distributed heterogeneous content and relationships.
Cite
@article{arxiv.0902.0744,
title = {Embedding Data within Knowledge Spaces},
author = {James D. Myers and Joe Futrelle and Jeff Gaynor and Joel Plutchak and Peter Bajcsy and Jason Kastner and Kailash Kotwani and Jong Sung Lee and Luigi Marini and Rob Kooper and Robert E. McGrath and Terry McLaren and Alejandro Rodriguez and Yong Liu},
journal= {arXiv preprint arXiv:0902.0744},
year = {2009}
}
Comments
10 pages with 1 figure. Corrected incorrect transliteration in abstract