KANNEL: a Framework for Detecting and Managing Relations between Ontologies in Large Ontology Repository.
This event took place on Wednesday 27 May 2009 at 11:30
Carlo Alloca KMi, The Open University
Ontologies are the pillars of the Semantic Web (SW) and, as more and more ontologies are made available online, the SW is quickly taking shape. As a result, the research community is becoming more and more aware that ontologies are not isolated artifacts: they are, explicitly or implicitly, related with each other. Indeed, a number of studies have intended to tackle some of the challenges raised by ontology relationships, from both theoretical and practical points of view. We propose and describe KANNEL, a framework for detecting and managing semantic relations between ontologies for large ontology repositories. It is based on the DOOR ontology. Basically, it is a semantic structure (ontology with rules), which represents and formalizes important ontology relations on the Semantic Web. Making explicit implicit relations between ontologies provides meta-information that facilitates the development of Semantic Web Applications. In addiction, applied in the context of a large collection of automatically crawled ontologies, DOOR and KANNEL provide a starting point for analyzing the underlying structure of the network of ontologies that is the Semantic Web.
This event took place on Wednesday 27 May 2009 at 11:30
Ontologies are the pillars of the Semantic Web (SW) and, as more and more ontologies are made available online, the SW is quickly taking shape. As a result, the research community is becoming more and more aware that ontologies are not isolated artifacts: they are, explicitly or implicitly, related with each other. Indeed, a number of studies have intended to tackle some of the challenges raised by ontology relationships, from both theoretical and practical points of view. We propose and describe KANNEL, a framework for detecting and managing semantic relations between ontologies for large ontology repositories. It is based on the DOOR ontology. Basically, it is a semantic structure (ontology with rules), which represents and formalizes important ontology relations on the Semantic Web. Making explicit implicit relations between ontologies provides meta-information that facilitates the development of Semantic Web Applications. In addiction, applied in the context of a large collection of automatically crawled ontologies, DOOR and KANNEL provide a starting point for analyzing the underlying structure of the network of ontologies that is the Semantic Web.
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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