Directrices para una ontología musical: los recursos de la terminología

Musical works can be represented using different formats and expressed by different genres. The expression of such formats and genres in text-based information systems requires a verbal language and, therefore, requires a terminological treatment for the retrieval of the information that is related. In the analysis of music at a level of organization and representation, and not of production, the theoretical discussions on recorded and published musical information focus on what is called Music Information Retrieval (MIR), a term that is related to the recovery of music. the information in the field of music in digital format. For the organization and recovery of musical information in this context, knowledge organization systems such as ontologies are also used, which serve to make explicit and formalize shared conceptualizations in specific contexts and also including a terminological interface. In this sense, the main objective of this work is to identify and describe the parameters necessary for the construction of terminological guidelines applied to the use of ontologies in the field of music, using Music Ontology (MO) as the object of study. The MO is an international project that conceptually describes music for the semantic web, using URIs as identifiers and descriptors, and which allows the reuse of existing data in a system avoiding the creation of redundant data. This descriptive and exploratory research works with the terminology standards ISO 704 (Terminology work - Principles and methods) and ISO 1087 (Terminology work - Vocabulary - Part 1: Theory and application) in three stages: 1: selection of terms and identification of relationships semantics, 2: modification of terms and definition of preferred terms and 3: construction of scope notes and presentation of the conceptual map (using the GoConqr program). The vocabulary of the MO presents 54 classes, 153 properties and 13 individuals, allowing each ontology to be described in three different formats: HTML, JSON-LD and RDF / Turtle