Representing annotation compositionality and provenance for the Semantic Web.

ABSTRACT:

Background

Though the annotation of digital artifacts with metadata has a long history, the bulk of that work focuses on the association of single terms or concepts to single targets. As annotation efforts expand to capture more complex information, annotations will need to be able to refer to knowledge structures formally defined in terms of more atomic knowledge structures. Existing provenance efforts in the Semantic Web domain primarily focus on tracking provenance at the level of whole triples and do not provide enough detail to track how individual triple elements of annotations were derived from triple elements of other annotations.

Results

We present a task- and domain-independent ontological model for capturing annotations and their linkage to their denoted knowledge

SUBMITTER: Livingston KM 

PROVIDER: S-EPMC4129183 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature