69 research outputs found
IoT Data Imputation with Incremental Multiple Linear Regression
In this paper, we address the problem related to missing data imputation in the IoT domain. More specifically, we propose an Incremental Space-Time-based model (ISTM) for repairing missing values in IoT real-time data streams. ISTM is based on Incremental Multiple Linear Regression, which processes data as follows: Upon data arrival, ISTM updates the model after reading again the intermediary data matrix instead of accessing all historical information. If a missing value is detected, ISTM will provide an estimation for the missing value based on nearly historical data and the observations of neighboring sensors of the default one. Experiments conducted with real traffic data show the performance of ISTM in comparison with known techniques
Proceedings of the 13th ACM International Workshop on Geographic Information Systems (ACM-GIS 2005)
National audienceno abstrac
XESOP: A Content-Adaptive M-Learning Environment
International audienceThis demo paper illustrates content adaptation for mobile devices. The limited screen size and resolution makes current mobile devices quite hard to visualize multifaceted Web pages. Adaptation considers the context of the client and also the environment, where the client request is received. A device independent model is demonstrated in order to achieve automatic adaptation of a con-tent based on its semantic and the capabilities of the target device. A Web Services-based Framework is presented for adapting, displaying and manipulating learning objects on small handheld devices. A speech solution allows learners to turn written text into natural speech files, in using standard voices. This demo paper also illustrates the main features of XESOP system: author-ing of heterogeneous data (native XML and relational), integration by means of web services' invocation in a Learning Course Management System. The demonstration will be supported by a use case scenario in a real settin
Mediated geographicwebfeature services
With the proliferation of Geographic Information Systems (GIS) and spatial resources over the Internet, there is an increasing demand for robust geospatial information services that allow federation/interoperation of massive repositories of heterogeneous spatial data and metadata. However, interoperating GIS poses several challenges. First, there is no accepted standard for spatial or geographic data representation. Second, each GIS provides its own proprietary format as well as its specific query language; while geographic resources are designed for a variety of different purposes. Finally, orthogonal directions in the design of geographic resources may affect the semantics of the data they contain and impair their integration. The purpose of this paper is to show how mediation - a data integration technique - can help in building a Web-based geospatial service. This technique has been fully implemented in the context of a geographic mediation/wrapper system that provides an integrated view of the data together with a spatial query language. As a proof of concept, we deployed the service in building a prototype for an interoperability application involving several catalogues of satellite.Pages: 47-5
Towards a Flexible Schema Matching Approach for Semantic Web Service Discovery
International audienceSemantic web service discovery has attracted a lot of attention in the last decade. Research conducted in this area can be (mainly) summarized as follows: (1) "monolith" matchmaking algorithms (and systems), and (2) schema matching-based techniques. In this paper we describe a flexible approach that takes leverage of existing schema matchers, leading to a multiple choice strategy for semantic service discovery. The approach has been implemented and validated in using the data collection provided by the S3 (Semantic Service Selection) community, and led to promising preliminary results
Specification of a Provenance-Based Access Control Approach with PROV-CONSTRAINTS
International audienc
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