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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Federated Critical Infrastructure Simulators: Towards Ontologies For Support Of Collaboration, Katarina Grolinger, Miriam Am Capretz, Adam Shypanski, Gagandeep S. Gill
Federated Critical Infrastructure Simulators: Towards Ontologies For Support Of Collaboration, Katarina Grolinger, Miriam Am Capretz, Adam Shypanski, Gagandeep S. Gill
Katarina Grolinger
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
From Glossaries To Ontologies: Disaster Management Domain, Katarina Grolinger, Kevin P. Brown, Miriam A.M. Capretz
Katarina Grolinger
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 …
Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava
Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava
Katarina Grolinger
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 …
Eef-Cas: An Effort Estimation Framework With Customizable Attribute Selection, Katarina Grolinger, Besa Muslimi, Miriam Capretz, Mark Benko
Eef-Cas: An Effort Estimation Framework With Customizable Attribute Selection, Katarina Grolinger, Besa Muslimi, Miriam Capretz, Mark Benko
Katarina Grolinger
Existing estimation frameworks generally provide one-size-fits-all solutions that fail to produce accurate estimates in most environments. Research has shown that the accomplishment of accurate effort estimates is a long-term process that, above all, requires the extensive collection of effort estimation data by each organization. Collected data is generally characterized by a set of attributes that are believed to affect the development effort. The attributes that most affect development effort vary widely depending on the type of product being developed and the environment in which it is being developed. Thus, any new estimation framework must offer the flexibility of customizable attribute …
Knowledge As A Service Framework For Disaster Data Management, Katarina Grolinger, Emna Mezghani, Miriam Capretz, Ernesto Exposito
Knowledge As A Service Framework For Disaster Data Management, Katarina Grolinger, Emna Mezghani, Miriam Capretz, Ernesto Exposito
Katarina Grolinger
Each year, a number of natural disasters strike across the globe, killing hundreds and causing billions of dollars in property and infrastructure damage. Minimizing the impact of disasters is imperative in today’s society. As the capabilities of software and hardware evolve, so does the role of information and communication technology in disaster mitigation, preparation, response, and recovery. A large quantity of disaster-related data is available, including response plans, records of previous incidents, simulation data, social media data, and Web sites. However, current data management solutions offer few or no integration capabilities. Moreover, recent advances in cloud computing, big data, and …
Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz
Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz
Katarina Grolinger
In recent years, Database Management Systems (DBMS) have increased significantly in size and complexity, increasing the extent to which database administration is a time-consuming and expensive task. Database Administrator (DBA) expenses have become a significant part of the total cost of ownership. This results in the need to develop Autonomous Database Management systems (ADBMS) that would manage themselves without human intervention. Accordingly, this paper evaluates the current state of autonomous database systems and identifies gaps and challenges in the achievement of fully autonomic databases. In addition to highlighting technical challenges and gaps, we identify one human factor, gaining the trust …