Organizations today need to maintain relationships with actors who intervene in the execution of key processes. This creates problems for the correct administration of the organization's procedures and in administrating a shared jargon, increasing costs related to the procedures. The objective of this paper is to present the MONPRO methodology, which supports the management of organizational procedures through the creation of specific ontologies of the organizational domain (including employee jargon and natural language), allowing any person with knowledge in computer science to create ontologies, without needing to be an expert. MONPRO is composed of five phases. The activities in each of them define a series of forms and diagrams that lead the ontology developer to break down the procedure and obtain the necessary resources to build the ontology. To test the methodology, the Presentation and Defense of the Doctoral Thesis at UC3M procedure for the Carlos III University of Madrid, Leganés Campus, Spain was used. The results can, in general, have a positive impact, reducing costs for a company through their no longer requiring to hire experts to develop procedure ontologies, also reducing by approximately 43.8% the consultation time on procedures and establishing a common organizational language regardless of the jargon of a particular employee. In general, this research offers organizations the opportunity to improve operational procedures, giving their employees access to the standards of the organization using a natural language and its own jargon, increasing the quality of procedures. INDEX TERMS Management of organizational procedures, ontology creation methodology, organizational jargon, organizational ontologies.

 Objetivo: Presentar un estado del arte alrededor de problemas que surgen al crear servicios complejos de interacción entre sensores en la Web, como: descubrimiento automático, combinación de datos heterogéneos, coordinación y cooperación entre sensores, solucionados con el desarrollo de middlewares semánticos para la Web de las Cosas, sin lograr una cooperación transparente entre ellos, profundizando en aportes en la interacción máquina a máquina. Metodología: La investigación fue de tipo documental a través de un análisis bibliográfico de los últimos 12 años, identificando núcleos temáticos, criterios de selección, fichas descriptivas y realizando abstracción de estas para su desarrollo. Resultados y conclusiones: Los resultados exhiben por núcleo temático las principales componentes del tema, permitiendo una discusión alrededor de los retos por resolver en esta área de investigación, analizando enfoques presentes en el estado actual del conocimiento relacionados con la interacción semántica de la Web de las cosas (WoT).