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Full-Text Articles in Physical Sciences and Mathematics

Multi-View Ontology Explorer (Moe): Interactive Visual Exploration Of Ontologies, Zhao Lin Apr 2017

Multi-View Ontology Explorer (Moe): Interactive Visual Exploration Of Ontologies, Zhao Lin

Electronic Thesis and Dissertation Repository

An ontology is an explicit specification of a conceptualization. This specification consists of a common vocabulary and information structure of a domain. Ontologies have applications in many fields to semantically link information in a standardized manner. In these fields, it is often crucial for both expert and non-expert users to quickly grasp the contents of an ontology; and to achieve this, many ontology tools implement visualization components. There are many past works on ontology visualization, and most of these tools are adapted from tree and graph based visualization techniques (e.g. treemaps, node-link graphs, and 3D interfaces). However, due to the …


Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava Jan 2012

Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava

Electrical and Computer Engineering Publications

Ontologies have been used in a variety of domains for multiple purposes such as establishing common terminology, organizing domain knowledge and describing domain in a machine-readable form. Moreover, ontologies are the foundation of the Semantic Web and often semantic integration is achieved using ontology. Even though simulation demonstrates a number of similar characteristics to Semantic Web or semantic integration, including heterogeneity in the simulation domain, representation and semantics, the application of ontology in the simulation domain is still in its infancy. This paper proposes an ontology-based representation of simulation models. The goal of this research is to facilitate comparison among …


Federated Critical Infrastructure Simulators: Towards Ontologies For Support Of Collaboration, Katarina Grolinger, Miriam Am Capretz, Adam Shypanski, Gagandeep S. Gill Jan 2011

Federated Critical Infrastructure Simulators: Towards Ontologies For Support Of Collaboration, Katarina Grolinger, Miriam Am Capretz, Adam Shypanski, Gagandeep S. Gill

Electrical and Computer Engineering Publications

Our society relies greatly on a variety of critical infrastructures (CI), such as power system networks, water distribution, oil and natural gas systems, telecommunication networks and others. Interdependency between those systems is high and may result in cascading failures spanning different infrastructures. Behavior of each CI can be observed and analyzed through the use of domain simulators, but this does not account for their interdependency. To explore CI interdependencies, domain simulators need to be integrated in a federation where they can collaborate.

This paper explores three different simulators: the EPANET water distribution simulator, the PSCAD power system simulator and the …


From Glossaries To Ontologies: Disaster Management Domain, Katarina Grolinger, Kevin P. Brown, Miriam A.M. Capretz Jan 2011

From Glossaries To Ontologies: Disaster Management Domain, Katarina Grolinger, Kevin P. Brown, Miriam A.M. Capretz

Electrical and Computer Engineering Publications

Our society’s reliance on a variety of critical infrastructures (CI) presents significant challenges for disaster preparedness, response and recovery. Experts from different domains including police, paramedics, firefighters and various other CI teams are involved in the fast paced response to a disaster, increasing the risk of miscommunication. To ensure clear communication, as well as to facilitate CI software interoperability, a common disaster ontology is needed. We propose using the knowledge stored in domain glossaries, vocabularies and dictionaries for the creation of a lightweight disaster management domain ontology. Glossaries, vocabularies and dictionaries are semi structured representations of domain knowledge, where significant …