4 citations · 6 across the 6 of their papers we have counts for
6 papers
Empowering Investigative Journalism with Graph-based Heterogeneous Data Management
Angelos-Christos Anadiotis, Oana Balalau, Theo Bouganim +6
Investigative Journalism (IJ, in short) is staple of modern, democratic societies. IJ often necessitates working with large, dynamic sets of heterogeneous, schema-less data sources…
Graph integration of structured, semistructured and unstructured data for data journalism
Angelos-Christos Anadiotis, Oana Balalau, Catarina Conceicao +5
Digital data is a gold mine for modern journalism. However, datasets which interest journalists are extremely heterogeneous, ranging from highly structured (relational databases),…
Graph integration of structured, semistructured and unstructured data for data journalism
Oana Balalau, Catarina Conceiç{ã}o, Helena Galhardas +4
Nowadays, journalism is facilitated by the existence of large amounts of digital data sources, including many Open Data ones. Such data sources are extremely heterogeneous, ranging…
On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research
Pradeeban Kathiravelu, Ashish Sharma, Helena Galhardas +2
Scientific research requires access, analysis, and sharing of data that is distributed across various heterogeneous data sources at the scale of the Internet. An eager ETL process…
Smart Scheduling of Continuous Data-Intensive Workflows with Machine Learning Triggered Execution
Sérgio Esteves, Helena Galhardas, Luís Veiga
To extract value from evergrowing volumes of data, coming from a number of different sources, and to drive decision making, organizations frequently resort to the composition of da…
A Labeled Graph Kernel for Relationship Extraction
Gonçalo Simões, Helena Galhardas, David Matos
In this paper, we propose an approach for Relationship Extraction (RE) based on labeled graph kernels. The kernel we propose is a particularization of a random walk kernel that exp…