Industrial and Business Applications of Semantic Web Technologies
J.UCS Special Issue
Ricardo Colomo-Palacios
(Computer Science Department, Universidad Carlos III de Madrid, Spain
ricardo.colomo@uc3m.es)
Thomas Moser
(Vienna University of Technology, Austria
thomas.moser@tuwien.ac.at)
Rafael Valencia-García
(Department of Informatics and Systems, Universidad de Murcia, Spain
valencia@um.es)
The Semantic Web was planned as a web of data that enables machines to
understand the meaning of information on the WWW. Many of the Semantic
Web technologies proposed by the W3C already exist and are used in
various contexts where sharing data is a common necessity, such as
scientific research or data exchange among businesses. However, the
Semantic Web as originally envisioned, a system that enables machines
to understand and respond to complex human requests based on their
meaning, has remained largely unrealized and its critics have
questioned its feasibility. Semantic Web technologies have found a
greater degree of practical adoption among specialized communities and
organizations for intra-company projects. The practical constraints
toward adoption have appeared less challenging where domain and scope
is more limited than that of the general public and the WWW.
This Special Issue brings together a selection of seven articles
related to the development and deployment of semantic technologies in
industry. These papers include a selection of the extended versions of
the best papers presented at the 2nd Workshop on Industrial and
Business Applications of Semantic Web Technologies (INBAST2012)
workshop and also new submissions coming from the open call issued by
editors. The call for papers for this Special Issue was published on
major international email lists, on the home page of the journal, as
well as on the home page of several universities. Editors received a
large amount of submissions that were peer-reviewed by top experts in
the field. Based on the reviews and our reading of the papers, editors
selected 7 high-quality ones to be published. Contributions of these
papers are summarized as follows:
In the first paper entitled "Web Resource Sense Disambiguation in
Web of Data" by Farzam Matinfar, Mohammadali Nematbakhsh and Georg
Lausen, authors identify the core labeling properties and present a
method for RDF Entity Sense Disambiguation by means of the use of
WordNet. Results presented show that this method is highly qualified
and outperforms the most frequent WordNet sense (MFS) and Random sense
selection methods.
The second contribution, entitled "Business Process Management
Applications based on Semantic Process Models: the ProcessGene Suite
Case-Study" by Avi Wasser and Maya Lincoln, presents an extended
case study on the use of ProcessGene BPM suite. This suite, based on
Semantic Process Models, includes an Natural Language Processing
analysis and standardization of the content layer of business process
models as a basis for several Business Process Management
applications.
In the third paper, "A Semantic Based Platform for Research and
Development Projects Management in the ICT Domaina", García
Moreno et al., the use of ontologies to model research and development
(R&D) data along with the application of semantic technologies in R&D
management systems is explored. Results provided are notable in terms
of accuracy of the system.
The fourth paper entitled "A Tool-based Semantic Framework for
Security Requirements Specification" and authored by Olawande
Daramola et al., describes a tool-based framework that uses a
combination of ontologies and boilerplates to aid a requirements
analyst in the process of security threat identification and eventual
formulation of quality security requirements. Results of its
evaluation, performed by means of a controlled experiment, show that
this tool is adequate in terms of viability and usability.
In the fifth contribution, "Ontology Combined Structural and
Operational Semantics for Resource-Oriented Service Composition" by
Cheng Xie, Hongming Cai and Lihong Jiang a Semantic Resource Service
Model is presented. This model is proposed to combine structural and
Transitional semantics for resource-oriented service composition and
is illustrated by means of a case study.
In the sixth manuscript, entitled "Semantic Integration of
heterogeneous Data Sources in the MOMIS Data Transformation System"
by Maurizio Vincini, Domenico Beneventano and Sonia Bergamaschi, a
Data Transformation System (DTS) that is able to operate in a system
called THALIA (Test Harness for the Assessment of Legacy information
Integration Approaches) is introduced. In this paper, authors show how
the system is able to manage all twelve queries of the THALIA
benchmark by using a simple combination of declarative translation
functions and without any overhead of new code.
Finally, the last paper in the special issue is entitled "An Item
based Geo-Recommender System Inspired by Artificial Immune
Algorithms" and authored by Antonio Cabanas-Abascal et al. In this
work a system built over the roots of semantic technologies and
artificial immune systems devoted to tourism is presented and assessed
with respect to its accuracy.
The Special Issue editors would like to take this opportunity to thank
the authors for their papers and the reviewers for their comments and
suggestions. Special thanks also to Professor Christian Gütl
(Managing Editor) and Ms. Dana Kaiser (Assistant Editor) of the
Journal of Universal Computer Science (J.UCS) for their help and for
providing an opportunity to edit this work.
Acknowledgements
The preparation of this Special Collection has been partially
supported by the European Commission (programme LifeLong Learning -
action Leonardo da Vinci - Transfer of Innovation) through the project
"ECQA Certified Social Media Networker Skills"
(2011-1-ES1_LEO05-35930) and by the Spanish Ministry of Economy and
Competitiveness and the European Commission (FEDER / ERDF) through the
project "SeCloud" (TIN2010-18650).
Ricardo Colomo-Palacios
Thomas Moser
Rafael Valencia-García
Guest Editors |