Constructing Domain Ontology from Texts: A Practical Approach and a Case Study

Abstract

Constructing domain ontology from texts is an effective way of achieving “ ontology on demand.” However, this process is very complex. In this paper, we explore a practical approach for domain ontology construction from texts using existing tools. We also describe a case study, which focuses on selecting a variety of papers on avian influenza virus. According to our approach, after being reduced to only key sentences, the selected texts are parsed by NLP software to identify the words and their corresponding parts of speech. The labeled sentences are then related to one another to create an ontology. In addition, the Graphviz tool is used to visualize the graphical ontology. Advantages, limitations, as well as the improvements of this approach are discussed.