Grounded Ontology Methodology – Illustrating the Seed Ontology Creation

This paper is an extension of a paper that suggested Grounded Ontology (GO) as a new methodology of ontology engineering. It adds an example of application of first two stages of GO Methodology to create an initial (seed) ontology to a summarized discussion from another paper on Grounded Ontology (GO) Methodology. Its efficacy in deriving entities and their relationships directly from the data along with ontologization is illustrated through a step-by-step example. The GO Methodology proposes that ‘a domain ontology developed using text-coding technique contributes in conceptualizing and representing state-of-the-art as given by published research in a particular domain.’ The motivation behind GO Methodology is to make the state-of-the art available to the researchers of a particular domain and help them come to common understanding through an ontology. Ontology developer are given a leading role by the existing ontology engineering methods. This has led to a general observation regarding dominating influence of personal perspective of ontology developer and/or expert on the resultant ontology. However, if coding of data is done such that entities and their relationships are directly obtained from and are closely linked to the text of the published research, the resultant ontology stands a better chance of being unbiased. Therefore, a new methodology (Grounded Ontology - GO) was proposed for deriving an ontology directly from text of published research. Such and ontology will not only help in bringing forth the research already done by other but can also help in highlighting areas where new research efforts are needed

Supporting organisational learning: an overview of the ENRICH approach

Traditional training separates learning from the work context in which the newly acquired knowledge is to be applied. This requires the worker themselves to apply imparted theoretical knowledge to knowledge in practice, a process that is grossly inefficient. The ENRICH approach builds on organisational learning theory to intertwine working and learning. The ENRICH methodology incorporates theories of learning at the individual, group and organisational level. Individual level learning is supported through the provision of semantically related resources to support problem reframing and to challenge assumptions. Group learning is supported through the evolution of domain concepts through work documents and representations linked to formal models of group knowledge, and the development of group practices and perspectives through enhanced sharing and collaboration. Organisational learning is supported through exposure to customs and conventions of other groups through shared best practices and knowledge models. The approach is being investigated in a range of industrial settings and applications

A Hierarchical Core Reference Ontology for New Technology Insertion Design in Long Life Cycle, Complex Mission Critical Systems

Organizations, including government, commercial and others, face numerous challenges in maintaining and upgrading long life-cycle, complex, mission critical systems. Maintaining and upgrading these systems requires the insertion and integration of new technology to avoid obsolescence of hardware software, and human skills, to improve performance, to maintain and improve security, and to extend useful life. This is particularly true of information technology (IT) intensive systems. The lack of a coherent body of knowledge to organize new technology insertion theory and practice is a significant contributor to this difficulty. This research organized the existing design, technology road mapping, obsolescence, and sustainability literature into an ontology of theory and application as the foundation for a technology design and technology insertion design hierarchical core reference ontology and laid the foundation for body of knowledge that better integrates the new technology insertion problem into the technology design architecture

a survey

Building ontologies in a collaborative and increasingly community-driven fashion has become a central paradigm of modern ontology engineering. This understanding of ontologies and ontology engineering processes is the result of intensive theoretical and empirical research within the Semantic Web community, supported by technology developments such as Web 2.0. Over 6 years after the publication of the first methodology for collaborative ontology engineering, it is generally acknowledged that, in order to be useful, but also economically feasible, ontologies should be developed and maintained in a community-driven manner, with the help of fully-fledged environments providing dedicated support for collaboration and user participation. Wikis, and similar communication and collaboration platforms enabling ontology stakeholders to exchange ideas and discuss modeling decisions are probably the most important technological components of such environments. In addition, process-driven methodologies assist the ontology engineering team throughout the ontology life cycle, and provide empirically grounded best practices and guidelines for optimizing ontology development results in real-world projects. The goal of this article is to analyze the state of the art in the field of collaborative ontology engineering. We will survey several of the most outstanding methodologies, methods and techniques that have emerged in the last years, and present the most popular development environments, which can be utilized to carry out, or facilitate specific activities within the methodologies. A discussion of the open issues identified concludes the survey and provides a roadmap for future research and development in this lively and promising field

Collaborative ontology engineering: a survey

Building ontologies in a collaborative and increasingly community-driven fashion has become a central paradigm of modern ontology engineering. This understanding of ontologies and ontology engineering processes is the result of intensive theoretical and empirical research within the Semantic Web community, supported by technology developments such as Web 2.0. Over 6 years after the publication of the first methodology for collaborative ontology engineering, it is generally acknowledged that, in order to be useful, but also economically feasible, ontologies should be developed and maintained in a community-driven manner, with the help of fully-fledged environments providing dedicated support for collaboration and user participation. Wikis, and similar communication and collaboration platforms enabling ontology stakeholders to exchange ideas and discuss modeling decisions are probably the most important technological components of such environments. In addition, process-driven methodologies assist the ontology engineering team throughout the ontology life cycle, and provide empirically grounded best practices and guidelines for optimizing ontology development results in real-world projects. The goal of this article is to analyze the state of the art in the field of collaborative ontology engineering. We will survey several of the most outstanding methodologies, methods and techniques that have emerged in the last years, and present the most popular development environments, which can be utilized to carry out, or facilitate specific activities within the methodologies. A discussion of the open issues identified concludes the survey and provides a roadmap for future research and development in this lively and promising fiel

Nietzsche, Foucault, Power: A Study of Paradox and Ontology in Nietzsche

This thesis investigates a paradox at the heart of Nietzsche and utilizes Foucault as an instrument to understand this dilemma. The paradox is the synthesis of Nietzsche\u27s doctrine of perspectivism and his ontological doctrine of the will to power. Put simply his doctrine of perspectivism says there can be no ontological facts yet Nietzsche articulates the will to power as an ontological matter of fact. This thesis explores the First Essay of Nietzsche\u27s Genealogy of Morals to demonstrate the existence of this paradox. Further, I will conduct a Foucauldian cross-examination to further flesh out this paradox, where and why it arises, and what it means for philosophy

Becoming-Bertha: virtual difference and repetition in postcolonial 'writing back', a Deleuzian reading of Jean Rhys’s Wide Sargasso Sea

Critical responses to Wide Sargasso Sea have seized upon Rhys’s novel as an exemplary model of writing back. Looking beyond the actual repetitions which recall Brontë’s text, I explore Rhys’s novel as an expression of virtual difference and becomings that exemplify Deleuze’s three syntheses of time. Elaborating the processes of becoming that Deleuze’s third synthesis depicts, Antoinette’s fate emerges not as a violence against an original identity. Rather, what the reader witnesses is a series of becomings or masks, some of which are validated, some of which are not, and it is in the rejection of certain masks, forcing Antoinette to become-Bertha, that the greatest violence lies

Forget the Singularity, its mundane artificial intelligence that should be our immediate concern

Fuelled by Science Fiction and the pronouncements of Silicon Valley gurus such as Elon Musk, the ‘Singularity’ is arguably the biggest geek myth of our time and is distracting us from addressing the numerous problems emerging with the increasing use of Artificial intelligence (AI). Artificial General Intelligence (AGI) is often perceived to mean super human like intelligence such as the ones depicted in movies like Her (2013) and Ex Machina (2014). These anthropomorphic representations of AI besiege our attention away from the very real threat of biases introduced through Machine Learning (ML). In this paper we will consider whether current practices within Human-Centred Design (HCD) permit designers to consider interactions and services in which non-human algorithms play a significant role and consider how approaches inspired by Object Oriented Ontology (OOO) may offer newperspectives for framing design activities concerning AI

Emancipation through digital entrepreneurship: a critical realist analysis

Digital entrepreneurship is presented in popular discourse as a means to empowerment and greater economic participation for under-resourced and socially marginalised people. However, this emancipatory rhetoric relies on a flat ontology that does not sufficiently consider the enabling conditions needed for successful digital enterprise activity. To empirically illustrate this argument, we examine three paired cases of UK women digital entrepreneurs, operating in similar sectors but occupying contrasting social positionalities. The cases are comparatively analysed through an intersectional feminist lens using a critical realist methodological framework. By examining the relationships between digital entrepreneurship, social positionality, and structural and agential enabling conditions, we interrogate the notion of digital entrepreneurship as an emancipatory phenomenon producing liberated workers

A novel and validated agile Ontology Engineering methodology for the development of ontology-based applications

The goal of this Thesis is to investigate the status of Ontology Engineering, underlining the main key issues still characterizing this discipline. Among these issues, the problem of reconciling macro-level methodologies with authoring techniques is pivotal in supporting novel ontology engineers. The latest approach characterizing ontology engineering methodologies leverages the agile paradigm to support collaborative ontology development and deliver efficient ontologies. However, so far, the investigations in the current support provided by these methodologies and the delivery of efficient ontologies have not been investigated. Thus, this work proposes a novel framework for the investigation of agile methodologies, with the objective of identifying the strong point of each agile methodology and their limitations. Leveraging on the findings of this analysis, the Thesis introduces a novel agile methodology – AgiSCOnt – aimed at tackling some of the key issues characterizing Ontology Engineering and weaknesses identified in existing agile approaches. The novel methodology is then put to the test as it is adopted for the development of two new domain ontologies in the field of health: the first is dedicated to patients struggling with dysphagia, while the second addresses patients affected by Chronic obstructive pulmonary disease.The goal of this Thesis is to investigate the status of Ontology Engineering, underlining the main key issues still characterizing this discipline. Among these issues, the problem of reconciling macro-level methodologies with authoring techniques is pivotal in supporting novel ontology engineers. The latest approach characterizing ontology engineering methodologies leverages the agile paradigm to support collaborative ontology development and deliver efficient ontologies. However, so far, the investigations in the current support provided by these methodologies and the delivery of efficient ontologies have not been investigated. Thus, this work proposes a novel framework for the investigation of agile methodologies, with the objective of identifying the strong point of each agile methodology and their limitations. Leveraging on the findings of this analysis, the Thesis introduces a novel agile methodology – AgiSCOnt – aimed at tackling some of the key issues characterizing Ontology Engineering and weaknesses identified in existing agile approaches. The novel methodology is then put to the test as it is adopted for the development of two new domain ontologies in the field of health: the first is dedicated to patients struggling with dysphagia, while the second addresses patients affected by Chronic obstructive pulmonary disease