Extracting Occupational Therapy Conceptsto Develop Domain Ontology
Ahlam F. Sawsaa, Joan Lu, Christopher D. Newman, Helen Ribchester · IARIA eBooks · 2013
Abstract— Recently, unstructured data on the World Wide Web has generated significant interest in the extraction of text, emails, web pages, reports and research papers in their raw form. Far more interestingly, extracting information from a specific domain using distributed corpora from the World Wide Web is a vital step towards creating corpus annotation. This paper describes a method of annotation, based on Occupational Therapy (OT) concepts, to build domain ontology using Natural Language Programming (NLP) technology. We used Java Annotation Patterns Engine (JAPE) grammar to support regular expression matching and thus annotate OT concepts using a GATE developer tool. This speeds up the time-consuming development of the ontology, which is important for experts in the domain facing time constraints and high workloads. The rules provide significant results: the pattern matching of OT concepts based on the lookup list produced 403 correct concepts and the accuracy was generally higher. Using NLP technique is a good approach to reducing the domain expert’s work, and the results can be evaluated.