-------- Original-Nachricht -------- Betreff: [AISWorld] New Issue Applied Ontology published Datum: Sun, 06 Jul 2014 15:22:40 +0200 Von: roberta.ferrario@cnr.it An: aisworld@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.

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