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Sökning: hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) > Johannesson Paul

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1.
  • Kabilan, Vandana, et al. (författare)
  • Introducing the Common Non-Functional Ontology
  • 2007
  • Ingår i: Enterprise Interoperability II. - London : Springer. - 9781846288579 - 9781846288586 - 9781447171317 ; , s. 633-645
  • Konferensbidrag (refereegranskat)abstract
    • Enterprise systems interoperability is impeded by the lack of a cohesive, integrated perspective on non-functional aspects (NFA). We propose to respond to the fragmentation in NFA research by supporting a shared, common understanding. For this purpose:- first, we propose a common NFA ontology, which generalizes and integrates the different non-functional aspects under a common top-level ontology. Second, we introduce a series of specialized ontologies on specific non-functional aspects, such as trust, risk, privacy, threat and misuse. By fostering a consensual and shared view of the non-functional aspects domain, we aim to move closer to enhancing semantic enterprise interoperability. This shared perspective on what non-functional aspects are and how they relate to the other 'functional' aspects of enterprise systems, is the key towards enterprise interoperability.
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2.
  • Shahzad, Khurram, et al. (författare)
  • Requirements for a business process model repository : A stakeholders’ perspective.
  • 2010
  • Ingår i: Business Information Systems. - Berlin : Springer Berlin/Heidelberg. - 9783642128141 - 9783642128134 ; , s. 158-170
  • Konferensbidrag (refereegranskat)abstract
    • Reuse of business process models is the act of designing business processes by using existing process models. Reuse of business process models has been considered as a way to reduce the cost of modeling business processes from scratch. In order to support reuse a critical mass of process models is required which justifies the effort of maintaining a process model repository. However, recent studies show that complete repositories which can support reuse are not yet available. One of the reasons is that stakeholder requirements for process model repositories have not been sufficiently investigated. Therefore, the purpose of this work is to define requirements of a process model repository from stakeholders’ (researchers and practitioners) perspective. In this study, we start by eliciting preliminary requirements (defined as propositions) through an exploratory study followed by an empirical validation of the propositions. Based on the analysis of the results we define as a set of requirements for a process model repository.
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3.
  • Shahzad, Khurram, et al. (författare)
  • Towards Cross Language Process Model Reus : A Language Independent Representation of Process Models
  • 2009
  • Ingår i: Practice Of Enterprise Modeling, Proceedings. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642053511 - 9783642053528 ; , s. 176-190
  • Konferensbidrag (refereegranskat)abstract
    • Process model reuse is becoming a key approach to addressing the challenges of modeling business processes from scratch. A repository is, therefore, essential to store and manage process models for future reuse. In this paper, we develop a logical data model that enables a Universal Process Repository to store process models in the form of process elements, independent of any process modelling language. In order to store process models in the process repository we propose an algorithm that automatically extracts data from the repository and converts them to process models on the fly. Finally, we use a case study to present data stored about a process model in the repository and to illustrate the development of process models from the data stored in the repository.
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4.
  • Jalali, Amin, 1980- (författare)
  • Aspect-Oriented Business Process Management
  • 2016
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Separation of concerns has long been considered an effective and efficient strategy to deal with complexity in information systems.One sort of concern, like security and privacy, crosses over other concerns in a system. Such concerns are called cross-cutting concerns.As a result, the realization of these concerns is scattered through the whole system, which makes their management difficult.Aspect Orientation is a paradigm in information systems which aims to modularize cross-cutting concerns.This paradigm is well researched in the programming area, where many aspect-oriented programming languages have been developed, e.g., AspectJ.It has also been investigated in other areas, such as requirement engineering and service composition.In the Business Process Management (BPM) area, Aspect Oriented Business Process Modeling aims to specify how this modularization technique can support encapsulating cross-cutting concerns in process models.However, it is not clear how these models should be supported in the whole BPM lifecycle.In addition, the support for designing these models has only been limited to imperative process models that support rigid business processes.Neither has it been investigated how this modularization technique can be supported through declarative or hybrid models to support the separation of cross-cutting concerns for flexible business processes.Therefore, this thesis investigates how aspect orientation can be supported over the whole BPM lifecycle using imperative aspect-oriented business process models. It also investigates how declarative and hybrid aspect-oriented business process models can support the separation of cross-cutting concerns in the BPM area.This thesis has been carried out following the design science framework, and the result is presented as a set of artifacts (in the form of constructs, models, methods, and instantiations) and empirical findings.The artifacts support modeling, analysis, implementation/configuration, enactment, monitoring, adjustment, and mining cross-cutting concerns while supporting business processes using Business Process Management Systems. Thus, it covers the support for the management of these concerns over the whole BPM lifecycle. The use of these artifacts and their application shows that they can reduce the complexity of process models by separating different concerns.
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5.
  • Andersson, Birger, 1961-, et al. (författare)
  • Towards a formal definition of goal-oriented business process patterns
  • 2005
  • Ingår i: Business Process Management Journal. - : Emerald Group Publishing. - 1463-7154 .- 1758-4116. ; 11:6, s. 650-662
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose – Organizations of today are becoming ever more focused on their business processes. This has resulted in an increasing interest in using best practices for business process re-engineering. Two problems arise in connection to using best practices: how to find a best practice that suits particular purposes, and how to ensure that the process from the best practice has the same nature as the process under re-engineering. The purpose of this paper is to address these issues. Design/methodology/approach – The paper suggests using business process patterns, i.e. relatively high level business process models, for making near formal comparison of business processes. The paper analyzes widespread modeling techniques to find out which of them suits the task of building patterns for comparison. Based on this analysis, the state-flow modeling technique is chosen and first steps towards formal definition of business process patterns based on this technique are suggested. Findings – A pattern is defined based on the notions of state space, goal, as a surface in the state space, and valid movements towards the goal. A thinkable procedure of constructing patterns is demonstrated on two real-life examples. A hypothetical procedure for comparing process is suggested but it still needs to be verified in practice. Originality/value – The originality of the paper is the way the patterns are formulated and the underlying model, the state-flow view of processes, upon which the patterns are founded.
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6.
  • Johannesson, Paul, et al. (författare)
  • Resource Analysis and Classification for Purpose Driven Value Model Design
  • 2010
  • Ingår i: International Journal of Information System Modeling and Design. - : IGI Global. - 1947-8186 .- 1947-8194. ; 1:1, s. 56-78
  • Tidskriftsartikel (refereegranskat)abstract
    • Business and IT systems are today facing an ever more complex environment characterised by openness, variety, and change. In order to cope with this environmental complexity, organisations need effective instruments for managing their knowledge. Essential among these instruments are enterprise models, i.e. computational representations of the structure, processes, information, resources, and goals of organisations. When using enterprise modeling for analysing and designing business scenarios and networks, the reasoning should not start from business processes and activities but from notions at a higher level of abstraction. This can be done by focusing on the business motivation behind processes and expressing it in value models, i.e. models focusing on high level and business oriented objects like resources, actors, resource conversions, and resource exchanges. The declarative orientation of value models make them attractive for a number of different purposes, including profitability analysis, marketing analysis, process design, and service analysis. As value models can be used for many different purposes, there is a risk that they will become overloaded, complex, and difficult to understand. Therefore, when designing a value model, its purpose should be explicitly stated in order to focus the analysis. The goal of this article is to show how the purpose of a value model should influence its design. The approach builds on an analysis and classification of resources, resource conversions, and resource exchanges.
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7.
  • Sadique, Kazi Masum, 1982- (författare)
  • Securing IoT Using Decentralized Trust Privacy and Identity Management
  • 2024
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • The Internet of Things (IoT) is a multidisciplinary area where technology meets people, enriching their quality of life with an improved working environment and efficient productivity. As the number of IoT devices increases, many new technology areas are being integrated with the IoT. IoT devices mainly connect and collaborate with central cloud servers for data management. The IoT paradigm is built upon the Internet and accesses different layers of Internet architectures. IoT devices are at the access layer of the Internet, and cloud servers are located at the top layer. The innovative use cases of IoT applications drive the requirement for quick decision-making that occurs as close to the source of information as possible. IoT devices need to be authenticated near the source for rapid request processing. Trustworthy interaction and secure communication between different entities of an IoT paradigm are crucial. A centralized cloud-based implementation of IoT solutions can be problematic for ensuring trustworthy and authenticated interactions in which quicker decision-making is involved. Additionally, privacy leakage possibilities increase with cloud-based solutions, as they involve multiparty interactions, introducing more complexity into ensuring data privacy. Due to IoT application and service heterogeneity, traditional security models are unsuitable for the IoT. There is no generic model for IoT data security and user data privacy that can facilitate trustworthy collaboration and identity management near the source.The thesis focuses on creating a generic state-of-the-art artefact for IoT security, utilizing decentralized trust, user data privacy, and localized identity management for heterogeneous IoT devices and services. The main contributions of this thesis include a novel decentralized model for secure and reliable interaction between components of the IoT paradigm, complemented by a decentralized trust management model, an edge gateway-based privacy enhancement scheme, and a decentralized identity management model with new authentication and authorization mechanisms for IoT devices where access to new resources is granted locally, and activities are recorded with context information. The proposed models are generic and can be easily adapted to real-life IoT use cases with minor amendments.
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8.
  • Elias, Mturi, 1975-, et al. (författare)
  • A business process metadata model for a process model repository
  • 2010
  • Ingår i: Enterprise, Business-Process and Information Systems Modeling. - Berlin : Springer Berlin/Heidelberg. - 9783642130519 - 9783642130502 ; , s. 287-300
  • Konferensbidrag (refereegranskat)abstract
    • Today reuse of business process models is becoming increasingly important. One of the proven solutions for reusing business process models is the use of repositories. Repositories should have process models and process metadata that can help users in searching, understanding, and interpreting process models. The purpose of this paper is to propose a Business Process Metadata Model (BPMM) that would facilitate a) locating process models, b) understanding and/or interpreting process models, and c) navigating a process model repository. In order to evaluate the BPMM, an empirical study is conducted to measure consistency and correctness of annotating business processes by using BPMM.
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9.
  • Eriksson, Owen, 1957-, et al. (författare)
  • Institutional ontology for conceptual modeling
  • 2018
  • Ingår i: JIT. Journal of information technology (Print). - : SAGE Publications. - 0268-3962 .- 1466-4437. ; 33:2, s. 105-123
  • Tidskriftsartikel (refereegranskat)abstract
    • Conceptual models are intended to capture knowledge about the world. Hence, the design of conceptual models could be informed by theories about what entities exist in the world and how they are constituted. Further, a common assumption within the field of conceptual modeling is that conceptual models and information systems describe entities in the real world, outside the systems. An alternative view is provided by an ontological commitment that recognizes that the institutional world is constructed through language use and the creation of institutional facts. Such an ontological commitment implies that there is an institutional reality, which, to a great extent, is constructed using information infrastructures. Accordingly, conceptual models have not only a descriptive role but also a prescriptive one, meaning that modelers set up a framework of rules that restrict and enable people to construct institutional reality using information infrastructures. Understanding the prescriptive role of conceptual models may revive the area of conceptual modeling in the information systems research community. Reviving conceptual modeling through institutional modeling is motivated by the effect that implemented conceptual models have on information infrastructures and institutions. The purpose of this article is to propose an institutional ontology that can support the design of information infrastructures. The ontology is theoretically informed by institutional theory and a communicative perspective on information systems design, as well as being empirically based on several case studies. It is illustrated using a case study in the welfare sector. A number of guidelines for modeling institutional reality are also proposed.
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10.
  • Ayele, Workneh Yilma, 1978- (författare)
  • A toolbox for idea generation and evaluation : Machine learning, data-driven, and contest-driven approaches to support idea generation
  • 2022
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Ideas are sources of creativity and innovation, and there is an increasing demand for innovation. For example, the start-up ecosystem has grown in both number and global spread. As a result, established companies need to monitor more start-ups than before and therefore need to find new ways to identify, screen, and collaborate with start-ups.The significance and abundance of data are also increasing due to the growing digital data generated from social media, sensors, scholarly literature, patents, different forms of documents published online, databases, product manuals, etc. Various data sources can be used to generate ideas, yet, in addition to bias, the size of the available digital data is a major challenge when it comes to manual analysis.Hence, human-machine interaction is essential for generating valuable ideas where machine learning and data-driven techniques generate patterns from data and serve human sense-making. However, the use of machine learning and data-driven approaches to generate ideas is a relatively new area. Moreover, it is also possible to stimulate innovation using contest-driven idea generation and evaluation. However, the measurement of contest-driven idea generation processes needs to be supported to manage the process better. In addition, post-contest challenges hinder the development of viable ideas. A mixed-method research methodology is applied to address these challenges.The results and contributions of this thesis can be viewed as a toolbox of idea-generation techniques, including a list of data-driven and machine learning techniques with corresponding data sources and models to support idea generation. In addition, the results include two models, one method and one framework, to better support data-driven and contest-driven idea generation. The beneficiaries of these artefacts are practitioners in data and knowledge engineering, data mining project managers, and innovation agents. Innovation agents include incubators, contest organizers, consultants, innovation accelerators, and industries.Future projects could develop a technical platform to explore and exploit unstructured data using machine learning, visual analytics, network analysis, and bibliometric for supporting idea generation and evaluation activities. It is possible to adapt and integrate methods included in the proposed toolbox in developer platforms to serve as part of an embedded idea management system. Future research could also adapt the framework to barriers that constrain the development required to elicit post-contest digital service. In addition, since the proposed artefacts consist of process models augmented with AI techniques, human-centred AI is a promising area of research that can contribute to the artefacts' further development and promote creativity.
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