DartWiki: A Semantic Wiki for Ontology-Based Knowledge Integration in the Biomedical Domain
Jeff Z. Pan.
Semantic Web languages and technologies can be used for the annotation, classification, and organization of
knowledge assets and digital artifacts based on biomedical ontologies. In this paper, we present a semantic wiki, named
DartWiki, to build ontology-based digital encyclopedia for the biomedicine domain. DartWiki provides a Web-based
interface for accessing knowledge artifacts in both per-artifact and per-concept mode. In the per-artifact mode, users can
access these artifacts, and annotate them in both short texts and logical statements in terms of domain ontologies. In the
concept-based mode, users can navigate a graph of concepts, and review and edit the synthesized page about a selected
concept, which contains meaningful information about the concept, and also its related concepts and artifacts. Smooth
transitions between the two modes are achieved through semantic links. As a use case of the DartWiki, we provide an
open platform for the management and maintenance of digital artifacts in Integrated Medicine. This system provides
medical practitioners with relevant and trustworthy knowledge artifacts, and also means to input artifacts, to clarify their
meaning, and to check and improve their quality, which encourages the inclusion and participation of users, and
effectively creates an online community around knowledge sharing.
Keywords: Domain ontology, integrated medicine, knowledge management, semantic web, semantic wiki, traditional chinese
medicine, DartWiki, biomedicine domain, Western Medicine (WM), SPARQL.
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