Seamus lawless thesis

This approach differs significantly from those used by Seamus lawless thesis TEL systems in the creation of learning offerings and provides a service which is considerably different to that offered by general purpose web search engines. The key motivation of this research is to enable the utilisation of the vast amounts of accumulated knowledge and educational content accessible via the World Wide Web in Technology Enhanced Learning TEL.

Henning Mueller working on information extraction techniques to levarage the huge amount of relevant data contained within the PubMed archive for medical image classification. Maristella Agosti, working on document-level semantic networks for medical case-based retrieval.

Quality educational digital resources can prove expensive to develop and have traditionally been restricted to use in the environment in which they were authored.

Title of the thesis: Henning Mueller and Dr. Since October he is a PhD student under the supervision of Prof. This analysis provides confidence in the ability of the OCCS to generate collections of highly relevant open corpus content in defined subject areas.

Presented in this work are the theoretical foundations, design and implementation of two applications: As educators attempt to incorporate the use of educational technologies in course curricula, the lack of appropriate and accessible digital content resources acts as a barrier to adoption.

Vincent Wade and Ass. Multimodal knowledge discovery using machine-readable knowledge graphs Supervisor Prof. The accessibility, portability, repurposing and reuse of digital resources thus became, and remain, major challenges.

To evaluate and validate this research, a detailed analysis of the different aspects of the research is presented, outlining and addressing the discovery, classification and harvesting of open corpus content from the WWW and open corpus content utilisation in TEL. This thesis proposes an innovative approach to the targeted sourcing of open corpus content from the WWW and the resource-level reuse of such content in pedagogically beneficial TEL offerings.

Medical information retrieval research group under the scientific supervision of Prof. A novel approach to the sourcing of open corpus educational content for integration and reuse in TEL is the primary contribution to the State of the Art made by this thesis and the research described therein.

thesis funny pictures

So far, he has published 3 scientific papers in national and international venues. The thesis describes the requirements, both educational and technical, for a tool-chain that enables the discovery, classification, harvesting and delivery of content from the WWW, and a novel TEL application which demonstrates the resource-level reuse of open corpus content in the execution of a pedagogically meaningful educational offering.

This can lead to excessive workloads being placed upon the educator, whose efforts are better exerted on the pedagogical aspects of eLearning design. Intelligent systems research group under the scientific supervision of Prof.Prof.

Séamus Lawless is an Assistant Professor in the discipline of Intelligent Systems in the School of Computer Science and Statistics in Trinity College Dublin. Séamus' research interests are in the areas of information retrieval, information management and digital humanities with a particular focus on adaptivity and personalisation.

[Lecture Notes in Computer Science ] Francesco Ricci, Kalina Bontcheva, Owen Conlan, Séamus Lawless (Eds.) - User Modeling, Adaptation and Personalization_ 23rd International Conference, UMAPDublin, Ireland. Stefano Marchesin is a PhD student at the Department of Information Engineering of the University of Padua.

He took the bachelor degree in information engineering and the master degree in computer science engineering. Vincent Wade and Ass.

Stefano Marchesin

Prof. Séamus Lawless. Erasmus Student. Title of the thesis: "An Adaptive Cross-Site User. Séamus Lawless. Automatic Text Summarisation (TS) is the process of abstracting key content from information sources.

The primary contribution of this thesis. Seamus Lawless, Leveraging Content from Open Corpus Sources for Technology Enhanced Learning, Trinity College Dublin, This thesis proposes an innovative approach to the targeted sourcing of open corpus content from the WWW and the resource-level reuse of such content in pedagogically beneficial TEL offerings.

The thesis. Leveraging Content from Open Corpus Sources for Technology Enhanced Learning. A Thesis submitted to the. University of Dublin, Trinity College.

for the degree of. Doctor in Philosophy. Séamus Lawless. Knowledge and Data Engineering Group.

Download
Seamus lawless thesis
Rated 0/5 based on 5 review