With the rise of the concept of financial technology, financial and technology gradually in-
depth integration, scientific and technological means to become financial product …

A major research challenge is to perform scalable analysis of large-scale knowledge graphs
to facilitate applications like link prediction, knowledge base completion and reasoning …

The last two decades witnessed a remarkable evolution in terms of data formats, modalities,
and storage capabilities. Instead of having to adapt one's application needs to the, earlier …

Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data
storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) …

Increasing data volumes have extensively increased application possibilities. However,
accessing this data in an ad hoc manner remains an unsolved problem due to the diversity …

In the last decades, the amount of data produced every day is absolutely horrible. So-called
big data, that refers to the exponential growth of massive data and the difficulties that appear …

(Big) Data analysis techniques are able to mine hidden correlations in data sets and/or data
streams. Based on identified correlations, a causality analysis can generate new knowledge …

Big data has become a valuable resource for organizations to gain sustainable
competitiveness. To harness the full value, companies are appointing the chief data officer …

Access to e-Government data is challenging due to the heterogeneity and complexity of the
public information ecosystem. Controlled Vocabularies (CVs) provide a key to disclosing the …

The DARE platform has been designed to help research developers deliver user-facing
applications and solutions over diverse underlying e-infrastructures, data and computational …