The design of a wiki-based curation system for the Ontology of Functions
Abstract
Recently, studies argued that statistical and linguistic methods can be applied to extract information from biomedical ontologies, and represent the identified relations in the top-level ontology Ontology of Functions (OF). However, human intervention is required in order to clear noise from the generated data. A simple platform for collaborative work is needed. We propose here the use of a semantic wiki to represent relations between terms. We provide a relationship model for this semantic wiki, and add a core ontology as top-level type system to this wiki. We then discuss a design for the implementation of a platform for the curation of the OF, thereby enabling the community to curate the results of automatic extraction methods, and to add and correct ontology and annotation information. The aim of this collaborative effort is to provide a means to extend and correct the numerous ontologies which are used to describe biological functions in the OF.