Vol.6 No.4
December 25, 2007
Engineering the Semantic Web
Editorial
(pp281-282)
F.
Frasincar and P. Thiran
Research Articles:
An Infrastructure for
Semantic Web Portals
(pp283-308)
Y.-G. Lei,
V. Lopze, E. Motta, and V. Uren
This paper presents our Semantic Web portal infrastructure, which
focuses on how to enhance knowledge access in traditional web portals by
gathering and exploiting semantic metadata. Special attention is paid to
three important issues that affect the performance of knowledge access:
i) high quality metadata acquisition, which concerns how to
ensure high quality while gathering semantic metadata from heterogeneous
data sources; ii) semantic search, which addresses how to meet
the information querying needs of ordinary end users who are not
necessarily familiar with the problem domain or the supported query
languages; and iii) semantic browsing, which concerns how to help
users understand and explore the problem domain.
A Model-Driven Approach of Ontological Components for On-line Semantic
Web Information Retrieval
(pp309-336)
H. Baazaoui Zghal, M. A. Aufaure and N. Ben Mustapha
With the development of the web engineering and the
advent of the semantic Web, adding a semantic dimension to the Web by
the deployment of ontologies has contribute to solve many problems,
which specify the knowledge shared by a community of a target domain in
an explicit and formal way. The present work deals with the problem of
ontology construction for the semantic Web. The objective of the paper
is to propose a solution for the representation of Web knowledge by
means of ontologies as well as to define an approach to their
semi-automatic construction. The implementation and the experimentation
of the proposition were achieved by the development of a framework,
called "OntoCoSemWeb" and an On-Line Information Retrieval tool using
the generated ontologies. An evaluation and an analysis of the results
of this approach were carried out.
VQL - the Query Language for
Semantically Information Retrieval in the SemanticLIFE Digital Memory
Framework (pp337-359)
H.H. Hoang
and A M. Tjoa
This paper presents an approach of supporting users in formulating
queries in the Semantic Web applications. We create an innovative
mediator environment containing a lighter query language to help the
users in the challenging task of making unambiguous requests. The query
language is designed firstly for the SemanticLIFE's Virtual Query
System~\cite{hanh2006d,hanh2006} and could be used for other semantic
web applications. The proposed query language, namely Virtual Query
Language (VQL), is an effort of reducing complexity in the query
formulation, especially from the user-side. Furthermore, it simplifies
the communication between components of the SemanticLIFE system
with the VQS, and increases the portability of the system.
A Cluster-Based Approach to
Web Adaptation in Context-Aware Applications
(pp360-388)
R. De
Virgilio, R. Torlone, D. Valeriano, and D. Di Federico
In mobile Web
applications, there is the need to take into account context
characteristics (such as the device capabilities, the network QoS, the
user preferences, and the location) to meet constraints of the client
and guarantee a satisfying interaction with the user. A major issue in
this framework is that, in real world scenarios, the number of
adaptation requirements can change and increase very rapidly. Therefore,
a relevant problem is the definition of effective methods for choosing
efficiently the most suitable adaptation for a given context. To this
aim, we propose in this paper a new cluster-based approach that
automatically classifies the the contexts on the basis of their
characteristics: at a logical level, each class corresponds to contexts
that require similar adaptations. We show that this classification
strongly alleviates the adaptation process. The approach relies on a
metric distance that is used to compare contexts and on a threshold that
is used to group them. Each context in a cluster is associated with the
adaptation that best matches with the context requirements. We also
illustrate an implementation of our approach and a number of
experimental results that support its effectiveness. Semantic Web design
principles and enabling technologies are important ingredients of the
overall framework.
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