Access and retrieval of scholarly data through the web is often difficult because of the lack of intelligent algorithms that could logical analyze and compute the searching requests. The Semantic web represent the solution to this problem. The building of a new semantic ontology, to describe particular knowledge domain, is a challenging and demanding approach. Herein, we explore cardiology as a paradigm for the definition of a sufficient vocabulary. Firstly, we define a set of textbooks of the knowledge domain according to the following criteria: (a) degree of field coverage; (b) recommendations and guidelines of the field professionals; and (c) popularity of the textbooks based on sales analytics and bibliometrics. Secondly, we extract the terms indexed in these textbooks in worksheets allowing duplicates. Thirdly, we used the frequency of appearances of a term in the combined master index as an independent and objective quantitative variable of its impact in the knowledge domain description. Finally, we define the desirable power of the knowledge field description of our new ontology and use the subset of the most frequent terms as core for the building of the new ontology. This road map may serve in similar applications in ontology generation and maintenance.