This Master’s Thesis contains design of Semantic Query Expansion aided by Adaptive Explanatory Solution rithm. The implementation is designed as an independent SQE Search System module, supporting the JeromeDL digital library.
This thesis describes Adaptive Hypermedia, Semantic Web, Web
2.0 and how these fields relate to each other. Additionally, the-
sis describes an article where a set of extensions to the cur-
rent architecture of Learning Management System is proposed.
This thesis describes a novel approach of finding mappings
between taxonomies based on utilizing users’ involvement.
The thesis comprises of gathering data from users during an initial
evaluation of JOnto tool, developing a mapping prototype and
evaluating the result. A comparison with previous approaches,
description of the algorithm and specification of the prototype is also provided.
In this thesis an ontology was built based on a domain of information known
as the Galway City Community Forum or the GCCF. The GCCF is a forum
that grew out of the Irish government’s 1996 initiative of “Better Local
Government” as an attempt to aid the volunteering and community services
sector within the local community. A number of similar fora have been
established throughout all major towns and cities in Ireland comprising of
the same structure of that of an established forum for the city of Galway.
Many communities online have similar interests, needs, information areas
and ideas that overlap with one another. The searching facilities within the
various community sites are limited to syntactic meaning only. Through the
use of an ontology, a Semantic Web technology, a means is presented by
which communities can connect to one another around Ireland through the
established structure of the city community forum. In this way they can
become more efficient and effective as a means of sharing collaborative
knowledge and information semantically, irrespective of geographical and
social borders and this also can help with more precise searching. The
objective of this thesis is to create easy connectivity and to facilitate easy
searching and querying of knowledge within Irish local communities by a
means that is machine processable.
Build a content delivery and presentation system, based on the ongoing research
on content annotations. The system should adhere to adaptive hypermedia
blueprints and allow browsing of the social semantic information space.
school:Gdansk University of Technology, Faculty of Electronics, Telecommunication and Informatics, Department of Computer Systems Architecture, Informatics, Distributed Applications and Internet Systems
eventVenueGeoLat:53.648457N
defendedOn:July 5, 2007
supervisor:prof. dr hab. inż.Henryk Krawczyk, prof. zw. PG
The thesis includes the design and implementation of a mod-
ule of FOAFRealm distributed identity management system,
which provides functionality of efficient accessing distributed
RDF repositories based on replications.
Different digital libraries implementations use various protocols and metadata formats
to exchange information about resources. The future web requires those resources to be
more accessible to average user. This can be achieved by adoption of Semantic Web.
However it would be wrong to discard resources gathered in already existing networks
of libraries.
This thesis research possible ways of connecting such heterogeneous networks. The
solution based on MarcOnt is proposed and described. Also the need for peer-to-peer
base infrastructure is shown. The scalable and lightweight framework for creating hypercube
topology based peer-to-peer networks was developed as part of this thesis.
Interaction design for technology-enhanced, informal learning in an
environmental education program for children.
The Digital Hedge School Project analyses the design and digital
augmentation of an active, hands-on environmental education program at
Brigit’s Garden; a local educational garden where the students learn about
the environment, species, habitats and food webs. This research project
investigates how digital technology can be designed and implemented to
motivate and enhance children's hands-on learning and physical interaction
in an informal learning environment. Technology is additionally employed as
a "bridging context" to deepen the connections between children's informal
learning experiences in the garden, and their formal classroom environment.
This innovative, cross-disciplinary project connects a variety of key
stakeholders (Brigit’s Garden; Environmental Change Institute, Digital
Enterprise Research Institute; School of Education) including student
mentors and learners (undergraduates, transition year students and primary
school children). During the project two design experiments were
implemented using methods from the design-based research methodology.
This study sought to address the following primary research questions - did
the addition of technology to this informal learning experience ...;
(1) ... create better potential for learning opportunities in the program?
(2) ... enhance children’s engagement in the project i.e. was it fun for them?
Primarily qualitative assessment measures such as questionnaires, group
discussions, observation and interviews, were used to evaluate learning and
engagement in the project. Criteria from the design framework used to
inform the initial design experiment are used to analyse both the pilot run
and the final project. Analysis of the data showed that the mixed-
environment program was enjoyed the DHSP and were actively engaged
throughout the program which created potential for learning opportunities.
In digital libraries, keyphrases are an important instrument for
cataloguing and information retrieval purposes. In literature research,
they provide a high-level and concise summary of the content of textual
documents or the topics covered therein, allowing humans to quickly
decide whether a given text is relevant. As the number of textual
content on desktops grows fast, keyphrases can contribute to manage
large amounts of textual information, for instance by marking up
important sections in documents, i.e. to provide increased user
experience in document exploration. However, only very few documents,
whether authored by the user or retrieved from digital libraries on the
internet, have keyphrases assigned as embedded metadata description,
although vendors have enabled the relevant file formats with structures
capable of storing such information.
The most popular solution to automatic keyphrase extraction from textual
documents KEA, which utilises machine learning techniques, is not very
accessible. Although available as free software component, it requires a
training step on a number of documents, thereby imposing a burden on
potential users.
As keyphrases are a description of textual data, the consideration of
Natural Language Processing (NLP) tools in order to automate the
extraction process is obvious. The goal of this thesis is to demonstrate
how linguistic and statistical methods can be combined to perform
automatic keyphrase extraction from textual data, putting the emphasis
on single documents. The proposed software component does not need a
training step, can be utilised off the shelf, and is applicable for
English, German and French. It is evaluated quantitatively on a
medium-sized corpus with a priori assigned keyphrases, whereas a user
study gives insight into the acceptance of the algorithms' results in a
practical setting. Evaluation results show that the approach is
comparable with the current state-of-the-art, while potential for
performance improvement still exists.
This thesis includes modification of RDF transformation tool,
creation of editor for ontology mappings and creation of test
mappings that will be used in a production system.
(C) Copyright 2003-2006 by Digital Enterprise Research Institute (DERI) and WETI & Main Library Gdansk University of Technology, Poland and Sebastian Ryszard Kruk.
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