A new challenge for web developers today is the customization of the social web. This means extracting data about something from different sources of information. The objective is to obtain relevant information and create meaningful relationships between the data, using the representation of knowledge based on the ontology. Therefore, it is necessary to talk about semantic web and certain projects that have the purpose of creating communities of related entities. The solution proposed in this work aims to generate a profile for a person, from a scientific point of view; It shows all the research a person has done, with whom, and in what periods of time. It is based on a semantic web project, the FOAF (Friend of a Friend) model. The profiles are made for a small community belonging to the domain of computer science. The scientific performance of the information is extracted from different digital libraries, such as DBLP and ACM Digital Libraries. This project has an easy-to-use graphical interface that allows the client, on the one hand, to insert the name of a person and then to show the FOAF profile of the name consulted, highlighting different attributes and collaborations of the person, and on the other. List of people and to receive a list of items they have in common. The information was extracted from the digital libraries mentioned above and we start from the premise that the data are accurate. The impact of our approach is sustained by the fact that in a small community it is important to keep track of the research within it and the relationships and collaborations between people.