Finally, the myOntology prototype is online. I was eager to see it long since i learned about the ambitious project. The interface looks quite impressive. Lets play with the features 😉
Archive for Ontology
I recently presented this paper at the 2nd International Conference on Software, Knowledge, Information Management and Applications, (SKIMA 2008), Kathmandu, Nepal. Click here to download the paper and click here to download the slides.
This conference was held at the Keio University in Tokyo. Prof. Hideaki Takeda gave his invited talk titled “Ontology for People — Vagueness and multiplicity”. He talked about how conceptualizations are naturally vague and essentially lead to multiple concept definitions depending on the user’s perspective. He introduced my work, StYLiD, as a system to consider with such vagueness and multiplicity 🙂
I presented this paper in the Semantic Authoring, Annotation and Knowledge Markup Workshop (SAAKM 2007) co-located with the 4th International Conference on Knowledge Capture (K-Cap 2007), Whistler, British Columbia, Canada. It was an interesting workshop followed up by enthusiastic discussions.
In this article, we propose a change detection approach in the context of an ontology evolution framework for OWL DL ontologies. The framework allows ontology engineers to request and apply changes to the ontology they manage. Furthermore, the framework assures that the ontology and its depending artifacts remain consistent after changes have been applied. Innovative is that the framework includes a change detection mechanism that allows generating automatically a detailed overview of changes that have occurred based on a set of change definitions. In addition, different users (such as maintainers of depending artifacts) may have their own set of change definitions, which results into different overviews of the changes, each providing a different view on how the ontology has been changed. Using these change definitions, also different levels of abstraction are supported. Both features will enhance the understanding of the evolution of an ontology for different users.