State-of-the-art NER systems are characterized by high accuracy, but they require a large amount of training data.
domain specific ontologies generally contains many "fine-grained" categories (e.g., particular categories of people, such as writers, scientists, and so on) and, as a consequence, supervised methods cannot be used because the annotation costs would become prohibitive.