FCA-Based Ontology Augmentation in a Medical Domain

摘要

Building an ontology in a specific domain is a difficult and time-consuming task. We sometimes prefer augmenting an existing ontology to building a new entire ontology from scratch. A simple way to augment and enrich the existing ontology is to derive new hybrid subconcepts of the existing concepts and find new relationships among them. In this paper, we explore the potential role of FCA in augmenting an existing ontology in medical domain. We assume that instances of existing concepts can be extracted from a given set of domain-specific text documents by applying natural language processing techniques. We explain the three steps of FCA-based ontology augmentation, and then present the details of our experience on MeSH ontology augmentation.