[AISWorld] New Issue Applied Ontology published

[roberta.ferrario at cnr.it]

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.

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