Interrogating Capabilities of IoT Devices

This research is supported by the UK Research Councils’ Digital Economy IT as a Utility Network+ (EP/K003569/1) and the dot.rural Digital Economy Hub (EP/G066051/1).

Monitoring compliance with E-contracts and norms

Date of Acceptance: 09/07/2015

QUAL : A Provenance-Aware Quality Model

The research described here is supported by the award made by the RCUK Digital Economy program to the dot.rural Digital Economy Hub; award reference: EP/G066051/1.

A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

Postprint

Dimensionality Reduction Through Sub-Space Mapping for Nearest Neighbour Algorithms

Postprint

What Does this Device Do?

Postprint

An Access Control Model for Protecting Provenance Graphs

Postprint

TravelBot: Journey Disruption Alerts Utilising Social Media and Linked Data

Postprint

A link density clustering algorithm based on automatically selecting density peaks for overlapping community detection

Peer reviewed

Economic Impacts of Rules-based vs Risk-based Cybersecurity Regulations in Critical Infrastructure Providers (Bulk Electricity Providers)

Economics of Cybersecurity Part 2. SPSI-2015-01-0024.

Argumentation schemes for policy-driven planning

Postprint

Argumentation strategies for plan resourcing

Postprint

Fénix: a flexible information exchange data model for natural language processing

In this paper we describe Fénix, a data model for exchanging information between Natural Language Processing applications. The format proposed is intended to be flexible enough to cover both current and future data structures employed in the field of Computational Linguistics. The Fénix architecture is divided into four separate layers: conceptual, logical, persistence and physical. This division provides a simple interface to abstract the users from low-level implementation details, such as programming languages and data storage employed, allowing them to focus in the concepts and processes to be modelled. The Fénix architecture is accompanied by a set of programming libraries to facilitate the access and manipulation of the structures created in this framework. We will also show how this architecture has been already successfully applied in different research projects.

Enseñando a programar: un camino directo para desarrollar el pensamiento computacional

Está ampliamente aceptado que es fundamental desarrollar la habilidad de resolver problemas. El pensamiento computacional se basa en resolver problemas haciendo uso de conceptos fundamentales de la informática. Nada mejor para desarrollar la habilidad de resolver problemas usando conceptos informáticos que una asignatura de introducción a la programación. Este trabajo presenta nuestras reflexiones acerca de cómo iniciar a un estudiante en el campo de la programación de computadores. El trabajo no detalla los contenidos a impartir, sino que se centra en aspectos metodológicos, con la inclusión de experiencias y ejemplos concretos, a la vez que generales, extensibles a cualquier enseñanza de programación. En general, aunque se van desarrollado lenguajes cada vez más cercanos al lenguaje humano, la programación de ordenadores utilizando lenguajes formales no es una materia intuitiva y de fácil comprensión por parte de los estudiantes. A la persona que ya sabe programar le parece una tarea sencilla, pero al neófito no. Es más, dominar el arte de la programación es complejo. Por esta razón es indispensable utilizar todas las técnicas y herramientas posibles que faciliten dicha labor.