Artificial intelligence (AI) is being deployed in missions that are increasingly critical for
human life. To build trust in AI and avoid an algorithm-based authoritarian society …

Ontologies are the extensively used structural and semantic knowledge representation to
describe any entities with non-ambiguous meaning and relations. A large number of general …

This work is a detailed companion reproducibility paper of the methods and experiments
proposed by Lastra-Díaz and García-Serrano in (2015, 2016)[56–58], which introduces the …

In relational database watermarking, the semantic consistency between the original
database and the distorted one is a challenging issue which is disregarded by most …

Ecosia is an Internet search engine that plants trees with the income obtained from
advertising. This study explored the factors that affect the adoption of Ecosia. org from the …

Personal data are of great interest for research but, at the same time, they pose a serious
privacy risk. Therefore, appropriate data protection measures should be undertaken by the …

In online social networks (OSN), users quite usually disclose sensitive information about
themselves by publishing messages. At the same time, they are (in many cases) unable to …

Noise addition is a data distortion technique widely used in data intensive applications. For
example, in machine learning tasks it helps to reduce overfitting, whereas in data privacy …

In recent years, many studies on computational linguistics have employed the Web as
source for research. Specifically, the distribution of textual data in the Web is used to drive …

Querying a search engine is one of the most frequent activities performed by Internet users.
As queries are submitted, the server collects and aggregates them to build detailed user …