-------- Original-Nachricht --------
Betreff: [AISWorld] New Issue Applied Ontology published
Datum: Sun, 06 Jul 2014 15:22:40 +0200
Von: roberta.ferrario(a)cnr.it
An: aisworld(a)lists.aisnet.org
New Issue Applied Ontology published
We are happy to announce the publication of Volume 9, Issue 1 (2014)
of Applied Ontology.
The issue contains the following papers:
Engineering ontologies for question answering
Marten Teitsma, Jacobijn Sandberg, Guus Schreiber, Bob Wielinga and
Willem Robert van Hage
DOI 10.3233/AO-140130
Abstract:
Using an ontology to automatically generate questions for ordinary
people requires a structure and concepts compliant with human thought.
Here we present methods to develop a pragmatic, expert-based and a
basic-level ontology and a framework to evaluate these ontologies.
Comparing these ontologies shows that expert-based ontologies are most
easy to construct, but lack required cognitive semantic
characteristics. Basic-level ontologies have structure and concepts
which are better in terms of cognitive semantics but are most
expensive to construct.
An ontology co-design method for the co-creation of a continuous care ontology
Femke Ongenae, Pieter Duysburgh, Nicky Sulmon, Mathijs Verstraete,
Lizzy Bleumers, Saar De Zutter, Stijn Verstichel, Ann Ackaert, An
Jacobs and Filip De Turck
DOI 10.3233/AO-140131
Abstract:
Ontology engineering methodologies tend to emphasize the role of the
knowledge engineer or require a very active role of domain experts. In
this paper, a participatory ontology engineering method is described
that holds the middle ground between these two ?extremes?. After
thorough ethnographic research, an interdisciplinary group of domain
experts closely interacted with ontology engineers and social
scientists in a series of workshops. Once a preliminary ontology was
developed, a dynamic care request system was built using the ontology.
Additional workshops were organized involving a broader group of
domain experts to ensure the applicability of the ontology across
continuous care settings. The proposed method successfully actively
engaged domain experts in constructing the ontology, without
overburdening them. Its applicability is illustrated by presenting the
co-created continuous care ontology. The lessons learned during the
design and execution of the approach are also presented.
Measuring concept similarity in ontologies using weighted concept paths
Delia Rusu, Bla? Fortuna and Dunja Mladeni?
DOI 10.3233/AO-140132
Abstract:
Semantic similarity and relatedness between concepts have been
extensively studied in different areas ranging from psychology to
computational linguistics. In this paper we address the problem of
determining the similarity between concepts defined in a knowledge
source such as an ontology. The focus is measuring similarity between
concepts from the same ontology. We propose a concept similarity
algorithm based on geometric models for representing concepts and
relationships, which can be applied to different types of ontologies.
The key idea is the concept weighting scheme which allows for
quantifying the degree of abstractness of concepts. The evaluation
settings involving two ontologies validate and highlight the
advantages and disadvantages of the proposed approach. Using the
proposed measure, which closely resembles the human judgment of
similarity, we can reliably recreate predefined concept clusters, and
generate more informative concept paths.
----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.
_______________________________________________
AISWorld mailing list
AISWorld(a)lists.aisnet.org