Semantic Web: Theory and Applications
J.UCS Special Issue
Michael Granitzer
(Know-Center Graz and Graz University of Technology, Graz, Austria
mgrani@know-center.at)
Stefanie N. Lindstaedt
((Know-Center Graz and Graz University of Technology, Graz, Austria
slind@know-center.at)
This special issue features extended papers from the International
Conference on Knowledge Management and Knowledge Technologies 2010
(I-KNOW 2010) held in Graz, Austria, September, 1-3, 2010. It
comprises eight articles addressing theoretical as well as application
oriented aspects of the Semantic Web.
The first three papers pick up theoretical aspects of Semantic Web,
namely RDF, ontology evaluation and ontology development. The first
article picks up the problem of query languages for RDF which however
do not support fuzzy queries. The authors introduce a new method that
transforms subject-relation-object into activation patterns. This
represents a common model as basis for sophisticated analysis methods
such as semantic relation analysis or anomaly detection. The
Activation Patterns concept is introduced and applied to an RDF
representation of the well-known CIA World Factbook. The second paper
is concerned with ontology evaluation and the problem that currently
there are no algorithms that detect most of the errors. As a
consequence the authors designed and implemented space and time
optimised algorithms for detecting, among others, circulatory errors,
redundancy of sub class and sub property or redundancy of disjoint
relation. The algorithms were successfully evaluated on the Gene
Ontology (GO), the WordNet Ontology and the OntoSem Ontology. The
third paper is concerned with ontology classification and the problem
of lacking accuracy when treating ontologies as plain texts in
classification problems. In order to meet these problems the authors
suggest a new ontological methodology for the classification of web
ontologies. They propose the framework OntClassifire whose usefulness
has been verified by testing it on 34 ontologies.
The next five papers discuss practical applications of the Semantic
Web in various settings. The first paper highlights the importance of
processing knowledge contained in wikis by machines. It shows how a
Spatial Hypertext Wiki - i.e. a wiki that represents knowledge by
spatially distributed notes and visual characteristics - becomes a
semantic wiki by making use of hypertext, and how semantic web
features of ShyWiki improve navigation and publish the wiki knowledge
as RDF resources. The second paper discusses how semantic technologies
could be exploited for comparing qualifications in the field of human
resources acquisition. The EQF specifications are taken into account
and they are applied in a practical scenario to develop a ranking
algorithm for the comparison of qualifications expressed in terms of
knowledge, skill and competence concepts, potentially aimed at
supporting European employers during the recruiting phase.
The third
paper discusses strategies of introducing ontologies at different user
interface layers adapted from user experience elements. The proposed
ontological framework enables device independent, semi-automated GUI
construction which is demonstrated at a personal information
management example. The fourth article discusses the process of the
design and implementation of a competency management system in the
information and communication technologies domain utilizing the latest
Semantic Web tools and technologies. In particular, the paper
discusses the process of building individual and enterprise competence
models in a form of ontology database, as well as different ways of
meaningful search and retrieval of expertise data on the Semantic
Web. The last paper is concerned with the problem of retrieval in
health care systems that mostly consist of textual data and free text
in particular. Different types of information retrieval strategies are
evaluated and compared with respect to its appliance in medical health
care systems.
Finally, before you immerse yourself into this interesting readings,
let us thank the authors for their excellent contributions and also
thank the PC members of I-KNOW 2010 as well as external reviewers who
contributed with their reviewing efforts to this high quality special
issue.
Michael Granitzer and Stefanie N. Lindstaedt
Graz, March 2011
|