This work describes the development of a software whose task is to translate texts written in an exclusive and sexist language to a text in an inclusive and non-sexist language. This software has three processes: first to extract the text from different digital formats (pdf, docx or html), second to translate the text through an automaton that implements the "manual for the non-sexist use of language" and third to return the translated text in a digital document of the same format as the source. The development was carried out through the incremental methodology, from which three increments were obtained: the first to extract the text from the digital document, the second to implement the automaton and translate the extracted text, and the third increment to return the translated text in a format equal to the source document. The implemented automaton was developed in the JFlex tool. The tests carried out are Alpha and consist of translating simple sentences to validate the correct implementation of the rules described in the "manual for the non-sexist use of language". The objective is to help in the learning of this new language that aims to include and recognize women in the newsrooms.

Today information technologies in the agricultural sector are widely used and this paper presents the development of a Web application that aims to manage the information generated by the application of biological traps that are installed in plots contaminated by the worm plague. armyworm (Spodoptera Frugiperda), these are developed by the Center for Innovation and Technological Development (CiDT) and distributed to corn producers in the Mezquital Valley to combat the plague. The Web application was developed with the agile development methodology called incremental, PHP technology, the MySQL Database Management System and the Here® WeGO API for manipulating georeferenced maps. To guarantee the functionality of the Web application, unit tests were implemented, defining use cases with information provided by CiDT. This Web application represents the first stage of a Hybrid Information System whose goal is to serve CiDT as a tool for monitoring and analyzing the behavior of the fall armyworm plague.

Nowadays, the generation of information through digital text documents has increased exponentially, so there is a need to store documents in mass storage devices such as high capacity hard discs, storage servers, the cloud and others. However, the storage that is carried out lacks a thematic organization, therefore, a search for information becomes complex. Given this problem, this publication describes the development of a system that has the purpose of classifying a digital text document based on the thematic content. This system implements ontologies to achieve a better classification by taking advantage of its characteristics. The system is divided into five tasks: the first is the implementation of a word count to create a frequency vector; The second task performs a refinement on the frequency vector to eliminate the sentence connectors and prepositions; the third task orders the vector from the highest to the lowest frequency; the fourth task takes the most significant set of frequencies vector, in which the ontology of a domain is applied and the relation that the words have to determine the thematic of the document is sought; and the fifth task is to organize the documents in a folder structure based on the identified domains. The system was developed with the incremental development methodology. To validate the operation of the system, a set of tests was carried out in a controlled scenario in order to verify the correct classification of the documents.

The main objective of this article is to publicize the progress made on the "SME Online" platform, which is based on the idea of fostering collaborative networks through e-commerce between consumers and local micro-businesses in the municipality of Mixquiahuala de Juárez, Hidalgo and neighboring municipalities. Within this process, the use of quantitative research methodology was used in the integration of system relevance surveys and for which the spiral programming methodology was used. And the use of qualitative methodology to know the personal data that would be required of users to fill the concentrate to access the platform. That is why this article contributes to arouse interest and knowledge on the importance of managing and promoting collaborative networks, to generate competitive advantages that entail a benefit for society in general and to facilitate daily life.

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