Although BORO produces an ontology (information science) in the very strictest sense of the term, it does not produce the type of ontology (information science) that computer scientists would use for reasoning and inference. Instead, BORO's purpose is to improve the quality of information and information models, to integrate multiple information sources and extract hidden semantics. The purpose of the method is to re-engineer disparate data sources into a common model. It is particularly good at semantic analysis – establishing whether two concepts are the same, if they overlap, or if they are unrelated.