Numerical expressions, specifically the use of fractions and percentages in texts, may encounter a difficulty in the reading comprehension process for different groups of the population, including persons with cognitive disabilities. As an element that facilitates reading comprehension, the Easy-to-Read (E2R) Methodology, created to achieve the so-called cognitive accessibility, recommends avoiding the use of fractions and percentages. If it is necessary to include them, their equivalence or explanation should be described. In order to help people who have difficulties in reading comprehension when they have to deal with fractions and percentages, we have developed an initial method for adapting numerical expressions in an automatic way in Spanish. This method is based on (a) Artificial Intelligence (AI) methods and techniques and (b) the E2R guidelines and recommendations. In addition, the method has been implemented as a web application. With the goal of having our research in the context of the so-called responsible AI, we followed the human-centred design approach called participatory design. In this regard, we involved people with cognitive disabilities in order to (a) reinforce the adaptations provided by E2R experts and included in our method, and (b) evaluate our application to automatically adapt numerical expressions following an E2R approach. Moreover, this method can be integrated into institutional procedures, such as those of university administrations and public organisations, to enhance the accessibility of official documents and educational materials.

The Semantic Web of the future will be characterized by using a very large number of ontologies embedded in ontology networks. It is important to provide strong methodological support for collaborative and context-sensitive development of networks of ontologies. This methodological support includes the identification and definition of which activities should be carried out when ontology networks are collaboratively built. In this paper we present the consensus reaching process followed within the NeOn consortium for the identification and definition of the activities involved in the ontology network development process. The consensus reaching process here presented produces as a result the NeOn Glossary of Activities. This work was conceived due to the lack of standardization in the Ontology Engineering terminology, which clearly contrasts with the Software Engineering field. Our future aim is to standardize the NeOn Glossary of Activities.