10 posts found
Altruistic projects to create AI models in co-official languages
Artificial intelligence (AI) assistants are already part of our daily lives: we ask them the time, how to get to a certain place or we ask them to play our favorite song. And although AI, in the future, may offer us infinite functionalities, we must not forget that linguistic diversity is still a pe…
How to build a citizen science initiative considering open data from the start
Citizen participation in the collection of scientific data promotes a more democratic science, by involving society in R+D+i processes and reinforcing accountability. In this sense, there are a variety of citizen science initiatives launched by entities such as CSIC, CENEAM or CREAF, among oth…
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
ALIA and foundational models What are they and why are they key to the future of AI?
The enormous acceleration of innovation in artificial intelligence (AI) in recent years has largely revolved around the development of so-called "foundational models". Also known as Large [X] Models (Large [X] Models or LxM), Foundation Models, as defined by the Center for Research on Foundation Mod…
Citizen science projects that encourage public knowledge
Citizen science is consolidating itself as one of the most relevant sources of most relevant sources of reference in contemporary research contemporary research. This is recognised by the Centro Superior de Investigaciones Científicas (CSIC), which defines citizen science as a methodology and a mean…
Vinalod: The tool to make open datasets more accessible
Public administration is working to ensure access to open data, in order to empowering citizens in their right to information. Aligned with this objective, the European open data portal (data.europa.eu) references a large volume of data on a variety of topics.
However, although the data belong to di…
Hercules-ASIO Initiative. Integration, publication and consultation of linked open research data.
The Hercules initiative was launched in November 2017, through an agreement between the University of Murcia and the Ministry of Economy, Industry and Competitiveness, with the aim of developing a Research Management System (RMS) based on semantic open data that offers a global view of the research…
Citizen science and open data to help society
Some time ago we talked about the power of citizen science to generate open data. As we explained then, citizen science initiatives seek to encourage citizens to contribute to various scientific activities and research through their efforts, knowledge, tools and resources.
The participatory n…
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…
Linked Open Vocabularies (LOV)
One of the main barriers to the deployment of linked data is the difficulty that data editors have to determine which vocabularies to use to describe their semantics. These vocabularies provide the "semantic glue" that allows simple data to become "meaningful data".
Linked Open Vocabularies (LOV)…
