A semantic inheritance/inverse-inheritance mechanism for systematic bio-ontology construction.
In this paper, we propose a semantic inheritance/inverse-inheritance mechanism for systematic bio-ontology construction. This mechanism allows domain experts to easily manage sophisticated bio-ontologies in which biological knowledge is encoded; it automatically captures semantics inferred from the ontology structure being constructed or already constructed. Based on the captured semantics it suggests appropriate recommendation to the experts. While inheritance enables them to consistently determine the semantics of relationships between ontology concepts (or classes), inverse-inheritance allows them to incrementally refine the semantics by exploiting a huge amount of relationships between the instances of the concepts. To demonstrate the feasibility of the mechanism, we also implement an OWL(Web Ontology Language)-based graphical bio-ontology management system. In the system, the mechanism is seamlessly applied to the ontology by well defined graphic notations based on OWL. OWL is adopted to fully express the subtle semantics inherently buried in the bio-ontology.
Kim
Ki-Heon
KH
Yang
Jae-Dong
JD
Choi
Jae-Hun
JH
Yang
Kyung-Ah
KA
Ha
Young-Guk
YG
D019295:Computational Biology / Q000379:methods*; D004247:DNA / Q000235:genetics*; D030541:Databases, Genetic; D019146:Hypermedia; D020407:Internet; D010957:Plasmids / Q000235:genetics; D011506:Proteins / Q000235:genetics*
D011506:Proteins; D004247:DNA