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Full-Text Articles in Physical Sciences and Mathematics
The Cyber Simulation Terrain: Towards An Open Source Cyber Effects Simulation Ontology, Kent O'Sullivan, Benjamin Turnbull
The Cyber Simulation Terrain: Towards An Open Source Cyber Effects Simulation Ontology, Kent O'Sullivan, Benjamin Turnbull
Australian Information Warfare and Security Conference
Cyber resilience is characterised by an ability to understand and adapt to changing network conditions, including cyber attacks. Cyber resilience may be characterised by an effects-based approach to missions or processes. One of the fundamental preconditions underpinning cyber resilience is an accurate representation of current network and machine states and what missions they are supporting. This research outlines the need for an ontological network representation, drawing on existing literature and implementations in the domain. This work then introduces an open-source ontological representation for modelling cyber assets for the purposes of Computer Network Defence. This representation encompasses computers, network connectivity, users, …
Intelligent Text Classification System Based On Self-Administered Ontology, Manoj Manuja, Deepak Garg
Intelligent Text Classification System Based On Self-Administered Ontology, Manoj Manuja, Deepak Garg
Turkish Journal of Electrical Engineering and Computer Sciences
Over the last couple of decades, web classification has gradually transitioned from a syntax- to semantic-centered approach that classifies the text based on domain ontologies. These ontologies are either built manually or populated automatically using machine learning techniques. A prerequisite condition to build such systems is the availability of ontology, which may be either full-fledged domain ontology or a seed ontology that can be enriched automatically. This is a dependency condition for any given semantics-based text classification system. We share the details of a proof of concept of a web classification system that is self-governed in terms of ontology population …
Owl Query Answering Using Machine Learning, Todd Huster
Owl Query Answering Using Machine Learning, Todd Huster
Browse all Theses and Dissertations
The formal semantics of the Web Ontology Language (OWL) enables automated reasoning over OWL knowledge bases, which in turn can be used for a variety of purposes including knowledge base development, querying and management. Automated reasoning is usually done by means of deductive (proof-theoretic) algorithms which are either provably sound and complete or employ approximate methods to trade some correctness for improved efficiency. As has been argued elsewhere, however, reasoning methods for the Semantic Web do not necessarily have to be based on deductive methods, and approximate reasoning using statistical or machine-learning approaches may bring improved speed while maintaining high …
The Use Of Ontologies In Forensic Analysis Of Smartphone Content, Mohammed Alzaabi, Thomas Anthony Martin, Kamal Taha, Andy Jones
The Use Of Ontologies In Forensic Analysis Of Smartphone Content, Mohammed Alzaabi, Thomas Anthony Martin, Kamal Taha, Andy Jones
Research outputs 2014 to 2021
Digital forensics investigators face a constant challenge in keeping track with evolving technologies such as smartphones. Analyzing the contents of these devices to infer useful information is becoming more time consuming as the volume and complexity of data are increasing. Typically, such analysis is undertaken by a human, which makes it dependent on the experience of the investigator. To overcome such impediments, an automated technique can be utilized in order to aid the investigator to quickly and efficiently analyze the data. In this paper, we propose F-DOS; a set of ontologies that models the smartphone content for the purpose of …
Ontology Pattern-Based Data Integration, Adila Alfa Krisnadhi
Ontology Pattern-Based Data Integration, Adila Alfa Krisnadhi
Browse all Theses and Dissertations
Data integration is concerned with providing a unified access to data residing at multiple sources. Such a unified access is realized by having a global schema and a set of mappings between the global schema and the local schemas of each data source, which specify how user queries at the global schema can be translated into queries at the local schemas. Data sources are typically developed and maintained independently, and thus, highly heterogeneous. This causes difficulties in integration because of the lack of interoperability in the aspect of architecture, data format, as well as syntax and semantics of the data. …
The Use Of Ontologies In Forensic Analysis Of Smartphone Content, Mohammed Alzaabi, Thomas A. Martin, Kamal Taha, Andy Jones
The Use Of Ontologies In Forensic Analysis Of Smartphone Content, Mohammed Alzaabi, Thomas A. Martin, Kamal Taha, Andy Jones
Journal of Digital Forensics, Security and Law
Digital forensics investigators face a constant challenge in keeping track with evolving technologies such as smartphones. Analyzing the contents of these devices to infer useful information is becoming more time consuming as the volume and complexity of data are increasing. Typically, such analysis is undertaken by a human, which makes it dependent on the experience of the investigator. To overcome such impediments, an automated technique can be utilized in order to aid the investigator to quickly and eciently analyze the data.In this paper, we propose F-DOS; a set of ontologies that models the smartphone content for the purpose of forensic …
The Role Of Collaborative Ontology Development In The Knowledge Negotiation Process, Norma Rivera
The Role Of Collaborative Ontology Development In The Knowledge Negotiation Process, Norma Rivera
Open Access Theses & Dissertations
Interdisciplinary research (IDR) collaboration can be defined as the process of integrating experts' knowledge, perspectives, and resources to advance scientific discovery. The flourishing of more complex research problems, together with the growth of scientific and technical knowledge has resulted in the need for researchers from diverse fields to provide different expertise and points of view to tackle these problems. These collaborations, however, introduce a new set of "culture" barriers as participating experts are trained to communicate in discipline-specific languages, theories, and research practices. We propose that building a common knowledge base for research using ontology development techniques can provide a …