3 research outputs found

    Building multi-layer social knowledge maps with google maps API

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    Google Maps is an intuitive online-map service which changes people's way of navigation on Geo-maps. People can explore the maps in a multi-layer fashion in order to avoid information overloading. This paper reports an innovative approach to extend the "power" of Google Maps to adaptive learning. We have designed and implemented a navigator for multi-layer social knowledge maps, namely ProgressiveZoom, with Google Maps API. In our demonstration, the knowledge maps are built from the Interactive System Design (ISD) course at the School of Information Science, University of Pittsburgh. Students can read the textbooks and reflect their individual and social learning progress in a context of pedagogical hierarchical structure

    Facility maintenance management system based on GIS and indoor map

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    This research presented a system development approach for facility maintenance management system based on GIS and indoor map in the form of web applications that can be used with all devices and no worries about time limitations. The capabilities of GIS, indoor map, and geospatial data visualization help speeding up facility maintenance management process and create benefits to all concerned parties, i.e., users can notify and follow the data of facility errors at the time; or officers in charge can operate quickly because they can access real-time data. Indoor map display makes it easier to access locations or places of damaged facilities. In addition, the data from the model system presented in this research can also be applied to planning and decision-making of executives

    SASWeb 2012: Semantic and Adaptive Social Web

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    SASWeb 2012: Semantic and Adaptive Social Web organized by Lora Aroyo, Federica Cena, Antonina Dattolo, Pasquale Lops, Julita Vassileva (1) Building multi-layer social knowledge maps with Google Maps API MinEr Liang, Julio Guerra, Peter Brusilovsky (2) Learning from a network of peers via peer-driven adjustment of a corpus John Champaign, Robin Cohen ****Invited Talks (4) Culture in User Modeling 3.0 Jacqueline Bourdeau (5) Leveraging social and semantic components in adaptive environments Cristina Gena (6) Meaning is its use: towards the use of distributional semantics for content-based recommender systems Cataldo Musto (7) Exploring folksonomies for adaptive query expansion Fabio Gasparett
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