Managing the Global Conversation

Managing the Global Conversation

We address the integration, management and optimisation of privacy-aware data flows between users and content services, needed to handle the changing usage contexts and a growing variety of data sources that arise from rapid innovation in digital content services.  

We apply dynamic, knowledge-driven techniques to ease management decision making across multiple business domains, differing workflow practices and heterogeneous service platforms.  By addressing issues of data protection, data ethics and data integration together we aim to establish a data governance framework that gives users the confidence to engage with new waves of digital content services while addressing the cost and risk involved in providing those services.

Research team

Publications

Managing the Global Conversation

Client-side Processing of GeoSPARQL Functions with Triple Pattern Fragments

Managing the Global Conversation

Towards a Project Centric Metadata Model and Lifecycle for Ontology Mapping Governance

Journal Article

Data linkage in medical science using the resource description framework: the AVERT model

Journal Article

The Convergence of Virtual Reality and Social Networks: Threats to Privacy and Autonomy.

Research Goals

This research supports individuals and companies to confidently handle rapid innovation in digital content processing in the context of recent data protection regulation. It also anticipates future issues related to acceptable use of content and data processing technologies at the level of individuals, of organisations and of soceity.

This project is developing new techniques for automated data integration in dynamic environments that focus on semantic mapping. We concentrate on two key aspects: how to enable effective interaction with integration mapping by a variety of user stakeholder types and  how to enable continuous management of integration mappings.

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