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Indexed in the SCIE (2018 Impact Factor 0.854), and in Scopus

Journal of Web Engineering

Martin Gaedke, Chemnitz University of Technology, Germany
Geert-Jan Houben, Delft University of Technology, The Netherlands
Flavius Frasincar, Erasmus University Rotterdam, The Netherlands
Florian Daniel, Politecnico di Milano, Italy

ISSN: 1540-9589 (Print Version),

ISSN: 1544-5976 (Online Version)
Vol: 6   Issue: 4

Published In:   December 2007

Publication Frequency: 8 issues per year

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An Infrastructure for Semantic Web Portals

Y.-G. Lei, V. Lopze, E. Motta and V. Uren

Knowledge Media Institute, the Open University, Walton Hall Milton Keynes, MK7 6AA, United Kingdom

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Abstract: 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 language; and iii) semantic browsing, which concerns how to help users understand and explore the problem domain.

Keywords: Semantic Web Portal, Semantic Metadata Acquisition, Quality Control, Semantic Search, Semantic Browsing

A Model-Driven Approach of Ontological Components for On-line Semantic Web Information Retrieval

H. Baazaoui Zghal1, M. A. Aufaure2,3 and N. Ben Mustapha1

11Riadi-GDL Laboratory, ENSI Campus Universitaire de la Manouba, Tunis, Tunisia
22Supelec, Computer Science Department, Plateau du Moulon, 91 192 Gif sur Yvette, France
33Inria Paris-Rocquencourt, Axis project, Domaine de Voluceau, 78 153 Le Chesnay Cedex, France

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Abstract: With the development of Web engineering and the advent of the Semantic Web, adding a semantic dimension to the Web by the deployment of ontologies has contributed to solve many problems. Ontologies 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.

Keywords: Semantic Web, Ontology building, Meta-ontology, ontology construction, ontology learning, on-line information retrieval

VQL - the Query Language for Semantically Information Retrieval in the SemanticLIFE Digital Memory Framework

H.H. Hoang1,2 and A M. Tjoa1

11Institute of Software Technology and Interactive Systems,Vienna University of Technology,Favoritenstrasse 9-11/188, A-1040 Vienna, Austria
22Department of Information Technology,College of Sciences - Hue University,77 Nguyen Hue Street, Hue City, Vietnam

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Abstract: 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 [1] 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.

Keywords: Semantic Web, Semantic query language, Ontological information retrieval

A Cluster-Based Approach to Web Adaptation in Context-Aware Applications

R. De Virgilio, R. Torlone, D. Valeriano and D. Di Federico

Dipartimento di Informatica e Automazione, Universit`a Roma Tre, Rome, Italy

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Abstract: For mobile Web applications one needs to take into account context characteristics (such as the device capabilities, the network QoS, the user preferences, and the location) to meet the 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 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 provides a reference 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 validity. Semantic Web design principles and enabling technologies are important ingredients of the overall framework.

Keywords: Web based Information System, Adaptive application, Clusterization, Semantic Web, RDF

River Publishers: Journal of Web Engineering