BORREGO DÍAZ , Agustín

Hoy en día, los grafos de conocimiento son una herramienta ampliamente usada para almacenar y representar información estructurada para una gran variedad de dominios y aplicaciones prácticas. Sin embargo, debido a que generalmente son construidos usando técnicas de extracción automática de información, éstos suelen estar incompletos. Esto se...

In the context of knowledge graphs, the task of completion of relations consists in adding missing triples to a knowledge graph, usually by classifying potential candidates as true of false. Creating an evalu- ation dataset for these techniques is not trivial, since there is a large amount of variables to consider which, if not taken into...

Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they may miss information that was either not present in the original source or not successfully extracted. As a result, KGs might...

Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they may miss information that was either not present in the original source or not successfully extracted. As a result, KGs might...

Knowledge Graphs (KGs) contain large amounts of structured information. Due to their inherent incompleteness, a process known as KG completion is often carried out to find the missing triples in a KG, usually by training a fact checking model that is able to discern between correct and incorrect knowledge. After the fact checking model has been...

La programación web es, actualmente, una de las vertientes más importantes de la informática en la industria nacional e internacional. Un aspecto muy relacionado, aunque en muchas ocasiones impartido de manera separada, es la enseñanza sobre bases de datos y el acceso a los datos contenidos en las mismas. Con objeto de unir más estrechamente la...

Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources requires establishing correspondences between the information and known information classes. This can be achieved with semantic labelling, which assigns known labels to structured information by classifying it according to...

In the last few years, we have witnessed the emergence of several knowledge graphs that explicitly describe research knowledge with the aim of enabling intelligent systems for supporting and accelerating the scientific process. These resources typically characterize a set of entities in this space (e.g., tasks, methods, evaluation techniques,...

The popularity of knowledge graphs has led to the development of techniques to refine them and increase their quality. One of the main refinement tasks is completion (also known as link prediction for knowledge graphs), which seeks to add missing triples to the graph, usually by classifying potential ones as true or false. While there is a wide...