Provenance has been used as a measure of accountability, trust, and validity. Within the
context of Command and Control (C2), provenance can be utilized to track the decision …

We describe a framework designed to facilitate privacy auditing while accommodating a
variety of privacy scenarios and policies that involve multiple participants. Our proposal is …

Fast, massive, and viral data diffused on social media affects a large share of the online
population, and thus, the (prospective) information diffusion mechanisms behind it are of …

Graph partitioning has long been seen as a viable approach to addressing Graph DBMS
scalability. A partitioning, however, may introduce extra query processing latency unless it is …

The use of artificial intelligence (AI) and machine learning (ML) models in various domain
spaces continues to reveal the lack of understanding that end-users, and even developers …

Information produced by Internet applications is inherently a result of processes that are
executed locally. Think of a web server that makes use of a CGI script, or a content …

It is commonly believed that provenance can be utilised to form assessments about the
quality, reliability or trustworthiness of data. Once presented with contradictory or …

In response to the increasing calls for algorithmic accountability, UML2PROV is a novel
approach to address the existing gap between application design, where models are …

Social networks foster the development of social sensing to gather data about situations in
the environment. Making sense of this information is, however, a challenge because the …

In this paper we present UML2PROV, an approach addressing the gap between application
design, through UML diagrams, and provenance design, using PROV-Template. PROV …