most citedEfficient Exploration of Interesting Aggregates in RDF Graphs

5 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB20215 cited

Efficient Exploration of Interesting Aggregates in RDF Graphs

Yanlei Diao, Paweł Guzewicz, Ioana Manolescu +1

As large Open Data are increasingly shared as RDF graphs today, there is a growing demand to help users discover the most interesting facets of a graph, which are often hard to gra…

cs.DB2021

HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries (Extended Version)

Rana Alotaibi, Bogdan Cautis, Alin Deutsch +1

Hybrid complex analytics workloads typically include (i) data management tasks (joins, selections, etc. ), easily expressed using relational algebra (RA)-based languages, and (ii)…

cs.DB20211 cited

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…

cs.DB2020

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),…

cs.DB2020

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…