2016
Observations of individual organisms (data) can be combined with expert ecological knowledge of species, especially causal knowledge, to model and extract from flower–visiting data useful information about behavioral interactions between insect and plant organisms, such as nectar foraging and pollen transfer. We describe and evaluate a method to elicit and represent such expert causal knowledge of behavioural ecology, and discuss the potential for wider application of this method to the design of knowledge-based systems for knowledge discovery in biodiversity and ecosystem informatics.
@article{446,
author = {Willem Coetzer and Deshen Moodley and Aurona Gerber},
title = {Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data.},
abstract = {Observations of individual organisms (data) can be combined with expert ecological knowledge of species, especially causal knowledge, to model and extract from flower–visiting data useful information about behavioral interactions between insect and plant organisms, such as nectar foraging and pollen transfer. We describe and evaluate a method to elicit and represent such expert causal knowledge of behavioural ecology, and discuss the potential for wider application of this method to the design of knowledge-based systems for knowledge discovery in biodiversity and ecosystem informatics.},
year = {2016},
journal = {PLOS ONE},
volume = {11},
issue = {11},
isbn = {e0166559},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166559},
doi = {10.1371/journal.pone.0166559},
}
No Abstract
@misc{150,
author = {James Lapalme and Aurona Gerber and Alta van der Merwe and John Zachman and Marne de Vries and Knut Hinkelmann},
title = {Exploring the future of enterprise architecture: A Zachman perspective.},
abstract = {No Abstract},
year = {2016},
url = {http://www.sciencedirect.com/science/journal/01663615/79},
}
No Abstract
@misc{149,
author = {Henriette Harmse and Katarina Britz and Aurona Gerber},
title = {Armstrong Relations for Ontology Design and Evaluation},
abstract = {No Abstract},
year = {2016},
url = {http://ceur-ws.org/Vol-1577/},
}
No Abstract
@article{148,
author = {Knut Hinkelmann and Aurona Gerber and Dimitris Karagiannis and Barbara Thoenssen and Alta van der Merwe and Robert Woitsch},
title = {A new paradigm for the continuous alignment of business and IT: Combining enterprise architecture modelling and enterprise ontology},
abstract = {No Abstract},
year = {2016},
journal = {Computers in Industry},
volume = {79},
publisher = {Sciencedirect},
url = {http://www.sciencedirect.com/science/article/pii/S0166361515300270},
}
2015
No Abstract
@inbook{124,
author = {Marne de Vries and Aurona Gerber and Alta van der Merwe},
title = {The enterprise engineering domain},
abstract = {No Abstract},
year = {2015},
journal = {Advances in Enterprise Engineering IX},
publisher = {Springer},
isbn = {978-3-319-19296-3},
url = {http://link.springer.com/chapter/10.1007%2F978-3-319-19297-0_4},
}
No Abstract
@article{123,
author = {Alta van der Merwe and Rennie Naidoo and Aurona Gerber},
title = {Understanding familiarization processes with Design Science Research: A social representation analysis.},
abstract = {No Abstract},
year = {2015},
journal = {South African Computer Journal},
volume = {65},
isbn = {ISSN: 2313-7835},
url = {http://sacj.cs.uct.ac.za/index.php/sacj/issue/view/2},
}
No Abstract
@{122,
author = {Paula Kotzé and Alta van der Merwe and Aurona Gerber},
title = {Design Science Research as Research Approach in Doctoral Studies},
abstract = {No Abstract},
year = {2015},
journal = {AMCIS 2015, the 2015 Americas Conference on Information Systems},
month = {13/08-15/08},
}
No Abstract
@{121,
author = {Mathinus Gerber and Aurona Gerber and Alta van der Merwe},
title = {The Conceptual Framework for Financial Reporting as a Domain Ontology},
abstract = {No Abstract},
year = {2015},
journal = {AMCIS 2015, the 2015 Americas Conference on Information Systems},
month = {13/08-15/08},
}
Today, and for the foreseeable future, organizations will face ever-increasing levels of complexity and uncertainty. Many believe that enterprise architecture (EA) will help organizations address such difficult terrain by guiding the design of adaptive and resilient enterprises and their information systems. This paper presents the “Grand Challenges” that we believe will challenge organizations in the future and need to be addressed by enterprise architecture. As a first step in using enterprise architecture as a solution for overcoming identified challenges, the Zachman Enterprise Architecture Framework is used to guide and structure the discussion. The paper presents the “Grand Challenges” and discusses promising theories and models for addressing them. In addition, current advances in the field of enterprise architecture that have begun to address the challenges will be presented. In conclusion, final thoughts on the future of enterprise architecture as a research field and a profession are offered.
@article{120,
author = {James Lapalme and Aurona Gerber and Alta van der Merwe and John Zachman and Marne de Vries and Knut Hinkelmann},
title = {Exploring the future of enterprise architecture: A Zachman perspective},
abstract = {Today, and for the foreseeable future, organizations will face ever-increasing levels of complexity and uncertainty. Many believe that enterprise architecture (EA) will help organizations address such difficult terrain by guiding the design of adaptive and resilient enterprises and their information systems. This paper presents the “Grand Challenges” that we believe will challenge organizations in the future and need to be addressed by enterprise architecture. As a first step in using enterprise architecture as a solution for overcoming identified challenges, the Zachman Enterprise Architecture Framework is used to guide and structure the discussion. The paper presents the “Grand Challenges” and discusses promising theories and models for addressing them. In addition, current advances in the field of enterprise architecture that have begun to address the challenges will be presented. In conclusion, final thoughts on the future of enterprise architecture as a research field and a profession are offered.},
year = {2015},
journal = {Computers in Industry},
publisher = {Elsevier},
url = {http://www.sciencedirect.com/science/article/pii/S0166361515300166},
}
The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today's enterprises. The ability to react timeously to continuous and unexpected change is called agility and is an essential quality of the modern enterprise. Being agile has consequences for the engineering of enterprises and enterprise information systems. In this paper a new paradigm for next generation enterprise information systems is proposed, which shifts the development approach of model-driven engineering to continuous alignment of business and IT for the agile enterprise. It is based on a metamodelling approach, which supports both human-interpretable graphical enterprise architecture and machine-interpretable enterprise ontologies. Furthermore, next generation enterprise information systems are described, which embed modelling tools and algorithms for model analysis
@article{119,
author = {Knut Hinkelmann and Aurona Gerber and Dimitris Karagiannis and Barbara Thoenssen and Alta van der Merwe and Robert Woitsch},
title = {A new paradigm for the continuous alignment of business and IT: Combining enterprise architecture modelling and enterprise ontology.},
abstract = {The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today's enterprises. The ability to react timeously to continuous and unexpected change is called agility and is an essential quality of the modern enterprise. Being agile has consequences for the engineering of enterprises and enterprise information systems. In this paper a new paradigm for next generation enterprise information systems is proposed, which shifts the development approach of model-driven engineering to continuous alignment of business and IT for the agile enterprise. It is based on a metamodelling approach, which supports both human-interpretable graphical enterprise architecture and machine-interpretable enterprise ontologies. Furthermore, next generation enterprise information systems are described, which embed modelling tools and algorithms for model analysis},
year = {2015},
journal = {Computers in Industry},
publisher = {Elsevier},
url = {http://www.sciencedirect.com/science/article/pii/S0166361515300270},
}
Diagrams are often studied as visual languages with an abstract and a concrete syntax (concrete syntax is often referred to as visual syntax), where the latter contains the visual representations of the concepts in the former. A formal specification of the concrete syntax is useful in diagram processing applications as well as in achieving unambiguous understanding of diagrams. Unified Modeling Language (UML) is a commonly used modeling language to represent software models using its diagrams. Class and package diagrams are two diagrams of UML. The motivation for this work is twofold; UML lacks a formal visual syntax specification and ontologies are under-explored for visual syntax specifications. The work in this paper, therefore, explores using ontologies for visual syntax specifications by specifying the visual syntax of a set of UML class and package diagram constructs as an ontology in the Web ontology language, OWL. The reasoning features of the ontology reasoners are then used to verify the visual syntax specification. Besides formally encoding the visual syntax of numerous UML constructs, the work also demonstrates the general value of using OWL for visual syntax specifications.
@{118,
author = {Anitta Thomas and Aurona Gerber and Alta van der Merwe},
title = {Visual Syntax of UML Class and Package Diagram Constructs as an Ontology},
abstract = {Diagrams are often studied as visual languages with an abstract and a concrete syntax (concrete syntax is often referred to as visual syntax), where the latter contains the visual representations of the concepts in the former. A formal specification of the concrete syntax is useful in diagram processing applications as well as in achieving unambiguous understanding of diagrams. Unified Modeling Language (UML) is a commonly used modeling language to represent software models using its diagrams. Class and package diagrams are two diagrams of UML. The motivation for this work is twofold; UML lacks a formal visual syntax specification and ontologies are under-explored for visual syntax specifications. The work in this paper, therefore, explores using ontologies for visual syntax specifications by specifying the visual syntax of a set of UML class and package diagram constructs as an ontology in the Web ontology language, OWL. The reasoning features of the ontology reasoners are then used to verify the visual syntax specification. Besides formally encoding the visual syntax of numerous UML constructs, the work also demonstrates the general value of using OWL for visual syntax specifications.},
year = {2015},
journal = {KEOD 2015 the the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management},
month = {12/11-14/11},
isbn = {978-989-758-158-8},
}
2014
Enterprise engineering (EE) emerged as a new discipline to encourage comprehensive and consistent enterprise design. Since EE is multidisciplinary, various researchers study enterprises from different perspectives, which resulted in a plethora of applicable literature and terminology, but without shared meaning. Previous research specifically focused on the fragmentation of knowledge for designing and aligning the information and communication technology (ICT) subsystem of the enterprise in order to support the business organisation subsystem of the enterprise. As a solution for this fragmented landscape, a business-IT alignment model (BIAM) was developed inductively from existing business-IT alignment approaches. Since most of the existing alignment frameworks addressed the alignment between the ICT subsystem and the business organisation subsystem, BIAM also focused on the alignment between these two subsystems. Yet, the emerging EE discipline intends to address a broader scope of design, evident in the existing approaches that incorporate a broader scope of design/alignment/governance. A need was identified to address the knowledge fragmentation of the EE knowledge base by adapting BIAM to an enterprise evolution contextualisation model (EECM), to contextualise a broader set of approaches, as identified by Lapalme. The main contribution of this article is the incremental development and evaluation of EECM. We also present guiding indicators/prerequisites for applying EECM as a contextualisation tool.
@article{449,
author = {Marne de Vries and Alta van der Merwe and Aurona Gerber},
title = {Extending the enterprise evolution contextualisation model.},
abstract = {Enterprise engineering (EE) emerged as a new discipline to encourage comprehensive and consistent enterprise design. Since EE is multidisciplinary, various researchers study enterprises from different perspectives, which resulted in a plethora of applicable literature and terminology, but without shared meaning. Previous research specifically focused on the fragmentation of knowledge for designing and aligning the information and communication technology (ICT) subsystem of the enterprise in order to support the business organisation subsystem of the enterprise. As a solution for this fragmented landscape, a business-IT alignment model (BIAM) was developed inductively from existing business-IT alignment approaches. Since most of the existing alignment frameworks addressed the alignment between the ICT subsystem and the business organisation subsystem, BIAM also focused on the alignment between these two subsystems. Yet, the emerging EE discipline intends to address a broader scope of design, evident in the existing approaches that incorporate a broader scope of design/alignment/governance. A need was identified to address the knowledge fragmentation of the EE knowledge base by adapting BIAM to an enterprise evolution contextualisation model (EECM), to contextualise a broader set of approaches, as identified by Lapalme. The main contribution of this article is the incremental development and evaluation of EECM. We also present guiding indicators/prerequisites for applying EECM as a contextualisation tool.},
year = {2014},
journal = {Enterprise Information Systems},
volume = {11},
pages = {787-827},
issue = {6},
url = {https://www.tandfonline.com/doi/abs/10.1080/17517575.2015.1090629},
doi = {10.1080/17517575.2015.1090629},
}
No Abstract
@inbook{98,
author = {Marne de Vries and Aurona Gerber and Alta van der Merwe},
title = {The Nature of the Enterprise Engineering Discipline},
abstract = {No Abstract},
year = {2014},
publisher = {LNBIP Springer},
url = {http://ciaonetwork.org/events/past-events/4th-enterprise-engineering-working-conference},
}
The interpretation of financial data obtained from the accounting process for reporting purposes is regulated by financial accounting standards (FAS). The history and mechanisms used for the development of ʻThe Conceptual Framework for Financial Reporting’ (the Conceptual Framework) as well as the financial accounting standards resulted in impressive volumes of material that guides modern financial reporting practices, but unfortunately, as is often the case with textual manuscripts, it contains descriptions that are vague, inconsistent or ambiguous. As part of the on-going initiatives to improve International Financial Reporting Standards (IFRS), the International Accounting Standards Board (IASB) promotes the development of principle-based IFRS, which aim to address the problems of vagueness, inconsistency and ambiguity. This paper reports on the findings of a design science research (DSR) project that, as artefact, developed a first version ontology-based formal language representing the definitions of asset, liability and equity (the fundamental elements of the statement of financial position as defined in the Conceptual Framework) through the application of knowledge representation (ontology) techniques as used within computing. We suggest that this artefact may assist with addressing vagueness, inconsistencies and ambiguities within the definitions of the Conceptual Framework. Based on our findings, we include suggestions for the further development of a formal language and approach to assist the formulation of the Conceptual Framework. The project focuses on the Conceptual Framework for Financial Reporting after the incorporation of Phase A in the convergence project between the Financial Accounting Standards Board (FASB) and IASB.
@article{90,
author = {Mathinus Gerber and Aurona Gerber and Alta van der Merwe},
title = {An Analysis of Fundamental Concepts in the Conceptual Framework Using Ontology Technologies.},
abstract = {The interpretation of financial data obtained from the accounting process for reporting purposes is regulated by financial accounting standards (FAS). The history and mechanisms used for the development of ʻThe Conceptual Framework for Financial Reporting’ (the Conceptual Framework) as well as the financial accounting standards resulted in impressive volumes of material that guides modern financial reporting practices, but unfortunately, as is often the case with textual manuscripts, it contains descriptions that are vague, inconsistent or ambiguous. As part of the on-going initiatives to improve International Financial Reporting Standards (IFRS), the International Accounting Standards Board (IASB) promotes the development of principle-based IFRS, which aim to address the problems of vagueness, inconsistency and ambiguity.
This paper reports on the findings of a design science research (DSR) project that, as artefact, developed a first version ontology-based formal language representing the definitions of asset, liability and equity (the fundamental elements of the statement of financial position as defined in the Conceptual Framework) through the application of knowledge representation (ontology) techniques as used within computing. We suggest that this artefact may assist with addressing vagueness, inconsistencies and ambiguities within the definitions of the Conceptual Framework. Based on our findings, we include suggestions for the further development of a formal language and approach to assist the formulation of the Conceptual Framework. The project focuses on the Conceptual Framework for Financial Reporting after the incorporation of Phase A in the convergence project between the Financial Accounting Standards Board (FASB) and IASB.},
year = {2014},
journal = {SAJEMS - The South African Journal of Economic and Management Sciences},
volume = {17},
pages = {369-411},
isbn = {2222-3436},
url = {http://www.sajems.org/index.php/sajems/article/view/525/434},
}
2013
No Abstract
@{72,
author = {Aurona Gerber and Alta van der Merwe and Kevin Bayes},
title = {An Investigation into UML Case Tool Support for the Zachman Framework},
abstract = {No Abstract},
year = {2013},
journal = {ES 2013 - the first international conference on Enterprise Systems},
month = {01/11 - 08/11},
address = {Cape Town},
}
