1,846 research outputs found

    Semantic Support for Computational Land-Use Modelling

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    A Semantic Grid Service for Experimentation with an Agent-Based Model of Land-Use Change

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    Agent-based models, perhaps more than other models, feature large numbers of parameters and potentially generate vast quantities of results data. This paper shows through the FEARLUS-G project (an ESRC e-Social Science Initiative Pilot Demonstrator Project) how deploying an agent-based model on the Semantic Grid facilitates international collaboration on investigations using such a model, and contributes to establishing rigorous working practices with agent-based models as part of good science in social simulation. The experimental workflow is described explicitly using an ontology, and a Semantic Grid service with a web interface implements the workflow. Users are able to compare their parameter settings and results, and relate their work with the model to wider scientific debate.Agent-Based Social Simulation, Experiments, Ontologies, Replication, Semantic Grid

    Scientific Knowledge Object Patterns

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    Web technology is revolutionizing the way diverse scientific knowledge is produced and disseminated. In the past few years, a handful of discourse representation models have been proposed for the externalization of the rhetoric and argumentation captured within scientific publications. However, there hasn’t been a unified interoperable pattern that is commonly used in practice by publishers and individual users yet. In this paper, we introduce the Scientific Knowledge Object Patterns (SKO Patterns) towards a general scientific discourse representation model, especially for managing knowledge in emerging social web and semantic web. © ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version is going to be published in "Proceedings of 15th European Conference on Pattern Languages of Programs", (2011) http://portal.acm.org/event.cfm?id=RE197&CFID=8795862&CFTOKEN=1476113

    The Semantic Grid: A future e-Science infrastructure

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    e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in an effective manner. The underlying computer infrastructure that provides these facilities is commonly referred to as the Grid. At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. To bridge this practice–aspiration divide, this paper presents a research agenda whose aim is to move from the current state of the art in e-Science infrastructure, to the future infrastructure that is needed to support the full richness of the e-Science vision. Here the future e-Science research infrastructure is termed the Semantic Grid (Semantic Grid to Grid is meant to connote a similar relationship to the one that exists between the Semantic Web and the Web). In particular, we present a conceptual architecture for the Semantic Grid. This architecture adopts a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace. We then focus predominantly on the issues concerned with the way that knowledge is acquired and used in such environments since we believe this is the key differentiator between current grid endeavours and those envisioned for the Semantic Grid

    Adapting Agent Platforms to Web Service Environments

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    This master thesis tries to address the above-mentioned issues by creating an agent plat- form suitable for encapsulating web-services into agents, providing them with typical agent capabilities (such as learning or complex communication and reasoning mechanisms). The objective of this point is to create a generic, modular agent platform that is able to run lightweight agents. The agents should be able to easily invoke web-services, e ectively encapsulating them. They also should be able to easily coordinate for composing the invoked services in order to perform complex tasks. Thus, the platform must provide facilities to allow the agents perform these service invocations

    Change Representation For OWL 2 Ontologies

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    Ontologies are entities that evolve over time; therefore it is essential to represent and manage changes to ontologies along with the ontologies themselves. In this paper we propose a change ontology for the OWL 2 ontology language. This change ontology comprises a ïŹne-grained taxonomy of ontology changes that considers the lowest-level atomic operations that can be performed in an ontology, but in addition also on other abstraction levels (ontology entity, composite). It thus allows to describe on a ïŹne grained level how an ontology has changed from one version to another, and it also provides the vocabulary to talk about the changes that enables, for instance, to associate provenance or other rich metadata, such as argumentation structures. Additionally, we discuss some useful applications of our change ontology and its technological support
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