106,468 research outputs found

    Semantic data mining and linked data for a recommender system in the AEC industry

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    Even though it can provide design teams with valuable performance insights and enhance decision-making, monitored building data is rarely reused in an effective feedback loop from operation to design. Data mining allows users to obtain such insights from the large datasets generated throughout the building life cycle. Furthermore, semantic web technologies allow to formally represent the built environment and retrieve knowledge in response to domain-specific requirements. Both approaches have independently established themselves as powerful aids in decision-making. Combining them can enrich data mining processes with domain knowledge and facilitate knowledge discovery, representation and reuse. In this article, we look into the available data mining techniques and investigate to what extent they can be fused with semantic web technologies to provide recommendations to the end user in performance-oriented design. We demonstrate an initial implementation of a linked data-based system for generation of recommendations

    Multi-Layer Cyber-Physical Security and Resilience for Smart Grid

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    The smart grid is a large-scale complex system that integrates communication technologies with the physical layer operation of the energy systems. Security and resilience mechanisms by design are important to provide guarantee operations for the system. This chapter provides a layered perspective of the smart grid security and discusses game and decision theory as a tool to model the interactions among system components and the interaction between attackers and the system. We discuss game-theoretic applications and challenges in the design of cross-layer robust and resilient controller, secure network routing protocol at the data communication and networking layers, and the challenges of the information security at the management layer of the grid. The chapter will discuss the future directions of using game-theoretic tools in addressing multi-layer security issues in the smart grid.Comment: 16 page

    Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches

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    Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they are genuinely knowledge- and data-centric, and require substantial flexibility, at both design- and run-time. In this work, starting from a scientific literature analysis in the area of KiPs and from three real-world domains and application scenarios, we provide a precise characterization of KiPs. Furthermore, we devise some general requirements related to KiPs management and execution. Such requirements contribute to the definition of an evaluation framework to assess current system support for KiPs. To this end, we present a critical analysis on a number of existing process-oriented approaches by discussing their efficacy against the requirements

    The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges

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    The Internet of Things (IoT) refers to a network of connected devices collecting and exchanging data over the Internet. These things can be artificial or natural, and interact as autonomous agents forming a complex system. In turn, Business Process Management (BPM) was established to analyze, discover, design, implement, execute, monitor and evolve collaborative business processes within and across organizations. While the IoT and BPM have been regarded as separate topics in research and practice, we strongly believe that the management of IoT applications will strongly benefit from BPM concepts, methods and technologies on the one hand; on the other one, the IoT poses challenges that will require enhancements and extensions of the current state-of-the-art in the BPM field. In this paper, we question to what extent these two paradigms can be combined and we discuss the emerging challenges

    Beyond tools: building learning organisations to adapt to a changing climate

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    Executive summary: The focus of this VCCCAR Visiting Fellowship was participation in the project ‘Implementing tools to increase adaptive capacity in the community and natural resources management sectors’. This project aimed to improve understanding of the adaptation capabilities and needs of three types of government service providers and funded agencies (catchment management authorities, community sector organisations and primary care partnerships). The intention was to draw on my experience of working at the UK Climate Impacts Program (UKCIP) and with projects in Europe to inform the development of this project and the way it might support adaptation efforts in Victoria.UKCIP was a small organisation, varying in size over its life from 2 to a maximum of about 25 people. Given such limited capacity there was a tension between trying to address the need for tailored adaptation support and the capacity to deliver it. One response was to provide widespread support through downloadable tools and other web resources. However, it was quickly discovered that downloading a tool only gets you so far. Similarly, having access to accurate climate data and information about future climate projections was also seen as the obvious place to start in responding to a changing climate. However, it soon became clear that even with access to accurate, reliable, salient information there could still be no assumption that decision makers would take action to adapt and there was frequently a gap between the quite high general awareness of climate change within an organisation (and an understanding of how it could affect their core business) and the implementation of actions to respond to it. This raises key questions about availability of usable information and extent of agreement on potential responses to climate risks.To be usable, information should relate to existing decision making processes and the key priorities of the organisation. It should also be locally relevant. In discussions with Victorian organisations, people wanted to know how to translate more general information about climate change into useful messages for everyday practice and service delivery. It is clearly important to start with current concerns and overlay on these the likely impacts of changing climate. Most future climate impacts are often not yet seen as urgent or important and there is a need for better coordination of users, demonstration projects, activities that bridge the gap between providers and users, and demonstration of how climate information can improve decision making.&nbsp

    Green BPM as a business-oriented discipline : a systematic mapping study and research agenda

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    Green Business Process Management (BPM) focuses on the ecological impact of business processes. This article provides a systematic mapping study of Green BPM literature to evaluate five attributes of the Green BPM research area: (1) scope, (2) disciplines, (3) accountability, (4) researchers and (5) quality control. The results allow developing a research agenda to enhance Green BPM as an approach for environmentally sustainable organizations. We rely on a dichotomy of knowledge production to present research directives relevant for both academics and practitioners in order to help close a rigor-relevance gap. The involvement of both communities is crucial for Green BPM to advance as an applied, business-oriented discipline
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