1,166,354 research outputs found

    Maps, agents and dialogue for exploring a virtual world

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    In previous years we have been involved in several projects in which users (or visitors) had to find their way in information-rich virtual environments. 'Information-rich' means that the users do not know beforehand what is available in the environment, where to go in the environment to find the information and, moreover, users or visitors do not necessarily know exactly what they are looking for. Information-rich means also that the information may change during time. A second visit to the same environment will require different behavior of the visitor in order for him or her to obtain similar information than was available during a previous visit. In this paper we report about two projects and discuss our attempts to generalize from the different approaches and application domains to obtain a library of methods and tools to design and implement intelligent agents that inhabit virtual environments and where the agents support the navigation of the user/visitor

    Knowledge Mapping for Open Sensemaking Communities

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    By analogy to cartographic representations of spatial worlds, Knowledge Maps provide an ‘aerial view’ of a topic by highlighting key elements and connections. Moreover, just as spatial maps simplify the world and can fuel controversy, maps of conceptual worlds provide vehicles for summarising and negotiating meaning. In conjunction with the UK Open University’s Open Educational Resources OpenLearn project, we are investigating the role of such maps for both learners and educators to share – and debate – interpretations of OERs. In this brief update, we describe how a mapping tool (Compendium) has been integrated with OpenLearn’s elearning platform (Moodle) in order to support tasks such as concept analysis, problem-solving, literature review, learning path planning, argument analysis and OER design

    A tribute to Professor William Dearman : new small-scale engineering geological maps of the United Kingdom

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    Professor William Robert (“Bill”) Dearman was the first British Professor of Engineering Geology and a world leader in the development of engineering geological mapping techniques and methodologies, recognised by being awarded the IAEG’s Hans Cloos Medal. The maps described here would not have been completed without his initial ideas and interpretative work. It is a great regret that the maps were not finished in time for him to see them before his death in January 2009. This paper and the maps described in it are, therefore, dedicated to his memory

    Data Users Note: Lunar maps available from NSSDC

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    The types of maps available from the National Space Science Data Center/World Data Center A for Rockets and Satellites for the support of lunar and comparative planetology scientific investigations are identified and described. Information on other sources of maps useful to planetologists is included. The maps are listed according to increased map scale. Parameters given include the name, scale, date of edition, the four corner coordinates of each maps, and the NSSDC ID

    LAMMR world data base documentation support and demonstrations

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    The primary purpose of the World Surface Map is to provide the LAMMR subsystem with world surface type classifications that are used to set up LAMMR LEVEL II process control. This data base will be accessed solely by the LAMMR subsystem. The SCATT and ALT subsystems will access the data base indirectly through the T sub b (Brightness Temperature) Data Bank, where the surface types were updated from a priori to current classification, and where the surface types were organized on an orbital subtrack basis. The single most important factor in the design of the World Surface Maps is the ease of access to the information while the complexity of generating these maps is of lesser importance because their generation is a one-time, off-line process. The World Surface Map provides storage of information with a resolution of 7 km necessary to set flags concerning the earth's features with a different set of maps for each month of the year
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