Browsing by Author "O'Sullivan, Declan"
Now showing items 1-20 of 66
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A dependency modelling approach for the management of ontology-based integration systems
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)Ontology-based approaches that formally represent the meaning of information in a system, offer the hope of dealing with semantic heterogeneity when integrating heterogeneous data sources [Halevy 2001, Noy 2004, Wache et ... -
A multi-faceted model of trust that is personalisable and specialisable
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)Trust is a term that is open to a wide range of subjective interpretations, and it has therefore been argued that “trust is a fashionable but overloaded term with lots of intertwined ... -
Automated Web Service Composition
(Trinity College Dublin. Department of Computer Science, 2004-09)Web content has traditionally been dominated by documents intended for human interpretation. However, the recent advent of Web Services has played a key role in evolving the Web from a mere document repository to a provider ... -
Automatic reasoner composition and selection
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)The development of OWL and OWL reasoning technologies has enabled them to be used for knowledge base (KB) modelling and/or intelligent data processing in applications of various areas. However the computation and ... -
Benchmarking Knowledge-based Context Delivery System
(2006)As context-aware systems become more widespread and mobile there is an increasing need for a common distributed event platform for gathering context information and delivering to context-aware applications. The likely ... -
Cashua : integrating semantics and content-based networking for context distribution
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)To support a vision of ubiquitous computing where computers fade into the background, context systems must provide information to highly mobile people and devices in ubiquitous computing environments. In these environments, ... -
Collaborative requirements elicitation to foster shared understanding
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)Fostering shared understanding of how to support organisational change involves a complex interaction of stakeholders in order to achieve alignment of business processes and IT infrastructure. Collaboration ... -
Compliance through Informed Consent: Semantic Based Consent Permission and Data Management Model
(CEUR-WS, 2017)The General Data Protection Regulations (GDPR) imposes greater restrictions on obtaining valid user consents involving the use of personal data. A semantic model of consent can make the concepts of consent explicit, ... -
Data linkage in medical science using the resource description framework: the AVERT model
(2018)There is an ongoing challenge as to how best manage and understand ‘big data’ in precision medicine settings. This paper describes the potential for a Linked Data approach, using a Resource Description Framework (RDF) ... -
Design and Initial Implementation of a Distributed XML Database
(Trinity College Dublin. Department of Computer Science, 2005-09)Techniques for distributed relational database systems have been well researched and developed. This is unsurprising given that the relational database model itself has been in development since the early 1970s. In recent ... -
Detecting restriction class correspondences in Linked Open Data
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014)The Linked Open Data (LOD) project has made a broad range of knowledge available on the World Wide Web as open datasets, using a common format and linked in such a manner that it is a simple task to explore and integrate ... -
A Device Gateway Service Architecture as a Business Process Integration Enabler in Industry Automation Environments
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019)Device gateways as a means of being an abstraction or transparency layer between devices and applications are in use already for a long time in the industry automation area to convert data formats, signals and messages ... -
Enhancing Rare Disease Research with Semantic Integration of Environmental and Health Data
(ACM, 2021)Knowledge Graph (KG) approaches are increasingly being used for data integration processes to combine clinical data with other data sources. Health Data Researchers (HDR) could benefit from these technologies since they ... -
Evaluating the usability of a semantic environmental health data framework: approach and study
(2023)Environmental exposures transported across air, land and water can affect our health making us more susceptible to developing a disease. Therefore, researchers need to face the complex task of integrating environmental ... -
Explaining Disclosure Decisions Over Personal Data
(CEUR WS, 2019)The use of automated decision making systems to disclose personal data provokes privacy concerns as it is difficult for individuals to understand how and why these decisions are made. This research proposes an approach ... -
An Exploration of Data Interoperability for GDPR
(2018)The General Data Protection Regulation (GDPR) specifies obligations that shape the way information is collected, shared, provided, or communicated, and provides rights for receiving a copy of their personal data in an ... -
Exploring GDPR compliance over provenance graphs using SHACL
(2018)Semantic web technologies provide an open and adaptable framework for compliance regarding the General Data Protection Reg- ulation (GDPR). Our previous work in this regard demonstrates the use of SPARQL for querying ... -
Extracting new urban patterns in cities: Analysis, models and applications
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)Smart city initiatives rely on real-time measurements and data collected by a large num- ber of heterogenous physical sensors deployed throughout a city. The data gathered by physical sensors can capably identify important ...
