403 posts found
Applications of [open] data science for agriculture
In many areas, there is a false belief that the primary sector is a technologically backward sector that is not involved in digitization. Perhaps because throughout history, as economic development indicators progressed, their weight in GDP and employment rates has been decreasing in favor of other…
The use of open data in the tourism sector
When planning our vacations, we all look for the perfect destination that meets our expectations: beach, mountain, city... But once we have decided where to go, we still have to make many decisions: how am I going to organize my trip so that everything goes perfect? Luckily, we have hundreds of appl…
Artificial Intelligence (AI) in a simple and affordable way
Not all press headlines on Artificial Intelligence are true, but do not make the mistake of underestimating the changes in the coming years thanks to the development of AI.
Artificial intelligence has not yet changed our lives, but we are experiencing a cycle of over-exposure about its results and a…
The professionals of Data Science teams
In recent years we have been discovering new field to apply data science, as the solution of old problems that we can now solve thanks to the new techniques and methodologies that are available. Data science is being configured as a key capability for digital transformation and, therefore, companies…
The importance of graphical visualization of data
"The simple graph has brought more information to the data analyst’s mind than any other device.” — John Tukey
The graphic visualization of data constitutes a discipline within data science universe. This practice has become important milestones throughout history in data analytics. In this post we…
The role of blockchain in security and data privacy
The imminent application of the recent GDPR (May 25th) modifies the European panorama in terms of security and privacy of personal data. Overall, the GDPR could be considered a "Digital Declaration of Rights". As we saw earlier, this Regulation lists the detailed requirements that any institution or…
Data Science, machine learning and deep learning
Data science is an interdisciplinary field that seeks to extract actuable knowledge from datasets, structured in databases or unstructured as texts, audios or videos. Thanks to the application of new techniques, data science is allowing for answering questions that are not easy to solve through othe…
Accessible training on new technologies: MOOCs and online training platforms
The adoption of innovative technologies could bring great competitive advantages for companies, optimizing processes, improving the customer experience and even creating new products and services. Therefore, an increasing number of organizations demand professionals with knowledge in areas such as d…
SHACL, un lenguaje para validar grafos RDF
El uso de RDF y de los datos enlazados (Linked Data) se está extendido a múltiples campos, desde la agricultura a la medicina. Y en todos los campos de conocimiento es necesario la validación de los datos RDF generados, aunque las condiciones sean diferentes para cada caso. Esta era una de las asign…
Pubby and LODI, opening linked data to humans
An important part of the data which is published on the Semantic Web, where resources are identified by URIs, is stored within triple store databases. This data can only be accessed through SPARQL queries via a SPARQL endpoint.
Moreover, the URIs used, usually designed in a pattern, in most of the d…
