Developing Open Data solutions is often challenging for different reasons. The first challenge, once the application is defined, is to get the correct data source and to process it in some useful way. There are several Open Data governmental initiatives worldwide, such as the ones from Brazil, USA or UK (to name only 3). Two…
Read MorePosts
- Dc4MT: a Data-centric Approach for Model Transformations 03/02/2021
- Classifying Unstructured Models with Multi Layer Perceptrons 30/04/2020
- BlOD: Blended Integrated Open Data 21/04/2020
- Managing Open Data Evolution through bi-dimensional mappings 09/01/2020
- Exploring logical information to map relational databases into ontologies 18/06/2019
- How to normalise imprecise temporal expressions 17/05/2019
- Migrating relational databases to NoSQL 17/05/2019
- HOTMapper: mapping historical Open Data 15/01/2019
- Personal research drawings 02/12/2018
- Open Educational Resources Platform Based on Collective Intelligence 29/10/2018
- Developing a Gazetteer with Approximate String Matching and Phonetics 10/09/2018
- Large-scale open data processing using Apache Spark 31/08/2018