All Outputs (25)

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.

NeuroProv: Provenance data visualisation for neuroimaging analyses (2019)
Journal Article

© 2019 Elsevier Ltd Visualisation underpins the understanding of scientific data both through exploration and explanation of analysed data. Provenance strengthens the understanding of data by showing the process of how a result has been achieved. Wit... Read More about NeuroProv: Provenance data visualisation for neuroimaging analyses.

An adaptable system to support provenance management for the public policy-making process in smart cities (2018)
Journal Article

© 2018 by the authors. Government policies aim to address public issues and problems and therefore play a pivotal role in people’s lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholders’ in... Read More about An adaptable system to support provenance management for the public policy-making process in smart cities.

Data provenance tracking as the basis for a biomedical virtual research environment (2017)
Journal Article

In complex data analyses it is increasingly important to capture information about the usage of data sets in addition to their preservation over time to ensure reproducibility of results, to verify the work of others and to ensure appropriate conditi... Read More about Data provenance tracking as the basis for a biomedical virtual research environment.

Cloud provider capacity augmentation through automated resource bartering (2017)
Journal Article

© 2017 Elsevier B.V. Growing interest in Cloud Computing places a heavy workload on cloud providers which is becoming increasingly difficult for them to manage with their primary data centre infrastructures. Resource scarcity can make providers vulne... Read More about Cloud provider capacity augmentation through automated resource bartering.

Cloud infrastructure provenance collection and management to reproduce scientific workflows execution (2017)
Journal Article

© 2017 Elsevier B.V. The emergence of Cloud computing provides a new computing paradigm for scientific workflow execution. It provides dynamic, on-demand and scalable resources that enable the processing of complex workflow-based experiments. With th... Read More about Cloud infrastructure provenance collection and management to reproduce scientific workflows execution.

Facilitating evolution during design and implementation (2014)
Journal Article

The volumes and complexity of data that companies need to handle are increasing at an accelerating rate. In order to compete effectively and ensure their commercial sustainability, it is becoming crucial for them to achieve robust traceability in bot... Read More about Facilitating evolution during design and implementation.

CRISTAL: A practical study in designing systems to cope with change (2014)
Journal Article

Software engineers frequently face the challenge of developing systems whose requirements are likely to change in order to adapt to organizational reconfigurations or other external pressures. Evolving requirements present difficulties, especially in... Read More about CRISTAL: A practical study in designing systems to cope with change.

Provision of an integrated data analysis platform for computational neuroscience experiments (2014)
Journal Article

© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience dat... Read More about Provision of an integrated data analysis platform for computational neuroscience experiments.

Intelligent grid enabled services for neuroimaging analysis (2013)
Journal Article

This paper reports our work in the context of the neuGRID project in the development of intelligent services for a robust and efficient Neuroimaging analysis environment. neuGRID is an EC-funded project driven by the needs of the Alzheimer's disease... Read More about Intelligent grid enabled services for neuroimaging analysis.

Providing traceability for neuroimaging analyses (2013)
Journal Article

Introduction With the increasingly digital nature of biomedical data and as the complexity of analyses in medical research increases, the need for accurate information capture, traceability and accessibility has become crucial to medical researchers... Read More about Providing traceability for neuroimaging analyses.

Adapting scientific workflow structures using multi-objective optimization strategies (2013)
Journal Article

Scientific workflows have become the primary mechanism for conducting analyses on distributed computing infrastructures such as grids and clouds. In recent years, the focus of optimization within scientific workflows has primarily been on computation... Read More about Adapting scientific workflow structures using multi-objective optimization strategies.

Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL (2012)
Journal Article

This work investigates the extent to which domain knowledge, expressed in a domain ontology, can assist end-users in formulating relational queries that can be executed over a complex relational database. In this regard, an ontology-driven query form... Read More about Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL.

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC (2012)
Journal Article

Results are presented from searches for the standard model Higgs boson in proton-proton collisions at s=7 and 8 TeV in the Compact Muon Solenoid experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.1 fb-1 at 7... Read More about Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC.

Glueing grids and clouds together: A service-oriented approach (2012)
Journal Article

Scientific communities are actively developing services to exploit the capabilities of service-oriented distributed systems. This exploitation requires services to be specified and developed for a range of activities such as management and scheduling... Read More about Glueing grids and clouds together: A service-oriented approach.

Context caches in the Clouds (2012)
Journal Article

In context-aware systems, the contextual information about human and computing situations has a strong temporal aspect i. e. it remains valid for a period of time. This temporal property can be exploited in caching mechanisms that aim to exploit such... Read More about Context caches in the Clouds.

CMS workflow execution using intelligent job scheduling and data access strategies (2011)
Journal Article

Complex scientific workflows can process large amounts of data using thousands of tasks. The turnaround times of these workflows are often affected by various latencies such as the resource discovery, scheduling and data access latencies for the indi... Read More about CMS workflow execution using intelligent job scheduling and data access strategies.

A fault tolerant, dynamic and low latency BDII architecture for grids (2010)
Journal Article

The current BDII model relies on information gathering from agents that run on each core node of a Grid. This information is then published into a Grid wide information resource known as Top BDII. The Top level BDIIs are updated typically in cycles o... Read More about A fault tolerant, dynamic and low latency BDII architecture for grids.

Rule-based querying of distributed, heterogeneous data (2009)
Journal Article

When searching for data, users tend to think in terms of the information they need to retrieve and not where and how it is stored. This is especially true in the highly complex domain of neurological research. The -generic medical querying service de... Read More about Rule-based querying of distributed, heterogeneous data.

Semantic matching using the UMLS (2009)
Journal Article