Ontology-based knowledge base model construction-OntoKBCF

Xia Jing, Stephen Kay, Nicholas Hardiker, Tom Marley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


Semantic web technologies are used in the construction of a bio-health knowledge base model, which, when coupled with an Electronic Health Record (EHR), is to be used by clinicians. Specifically, this ontology provides the basis for a domain knowledge resource that attempts to bridge biological and clinical information. The prototype is focused on a Cystic Fibrosis exemplar, and the content of the model includes: Cochrane reviews; a time-oriented description; gene therapy; and the most common cystic fibrosis gene mutations. The facts within the model range from nucleo-base mutation and amino acid change to clinical phenotype. The knowledge is represented by layers from the micro level to the macro level. Here, emphasis is placed upon the details between levels (i.e., the vertical axis) and these are made available to bridge the knowledge from different levels. The description of gender, age, mutation and clinical manifestations are clues for matching points within an EHR system. OWL is the ontology representation language used and the output from Protégé-OWL is a XML-based file formatwhich facilitates further application and communication
Original languageEnglish
Title of host publicationMedinfo 2007
Subtitle of host publicationProceedings of the 12th World Congress on Health (Medical) Informatics; Building Sustainable Health Systems
EditorsKlaus A. Kuhn, James R. Warren, Tze-Yun Leong
Number of pages6
ISBN (Electronic)9781607502661
Publication statusPublished - 2007
Externally publishedYes


Dive into the research topics of 'Ontology-based knowledge base model construction-OntoKBCF'. Together they form a unique fingerprint.

Cite this