The Experts below are selected from a list of 61707 Experts worldwide ranked by ideXlab platform
Martin Brandli - One of the best experts on this subject based on the ideXlab platform.
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virtual Database spatial analysis in a web based Data management system for distributed ecological Data
Environmental Modelling and Software, 2006Co-Authors: Marcel Frehner, Martin BrandliAbstract:Abstract New challenges and requirements for the management of environmental Data require improved Data Interoperability, Data integration and Data sharing. This paper describes the conceptual design and implementation of the Virtual Database as an integrated environmental and landscape information system which supports corresponding techniques and methods. The Virtual Database consists of a framework for advanced Web-based retrieval, analysis, and visualization of spatially related environmental Data based on the integration of distributed Data repositories. Existing Internet solutions for disseminating spatial Data, such as geoportals or WebGIS, essentially provide functionality for searching, mapping, publishing and limited querying. The main focus of this paper is on extending these techniques by offering spatial analysis capabilities applicable to distributed Data sets. The current prototype version of the Virtual Database supports methods for applying spatial filters and performing spatial overlays. The implementation is based on modular and service-oriented software design, open specifications and open source software but also considers proprietary products where appropriate. Our results confirm the strategy of enforcing openness and modularity for reasons of extendibility and maintainability.
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virtual Database spatial analysis in a web based Data management system for distributed ecological Data
Environmental Modelling and Software, 2006Co-Authors: Marcel Frehner, Martin BrandliAbstract:Abstract New challenges and requirements for the management of environmental Data require improved Data Interoperability, Data integration and Data sharing. This paper describes the conceptual design and implementation of the Virtual Database as an integrated environmental and landscape information system which supports corresponding techniques and methods. The Virtual Database consists of a framework for advanced Web-based retrieval, analysis, and visualization of spatially related environmental Data based on the integration of distributed Data repositories. Existing Internet solutions for disseminating spatial Data, such as geoportals or WebGIS, essentially provide functionality for searching, mapping, publishing and limited querying. The main focus of this paper is on extending these techniques by offering spatial analysis capabilities applicable to distributed Data sets. The current prototype version of the Virtual Database supports methods for applying spatial filters and performing spatial overlays. The implementation is based on modular and service-oriented software design, open specifications and open source software but also considers proprietary products where appropriate. Our results confirm the strategy of enforcing openness and modularity for reasons of extendibility and maintainability.
Alex Belkum - One of the best experts on this subject based on the ideXlab platform.
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Semantic Data Interoperability, digital medicine, and e-health in infectious disease management: a review
European Journal of Clinical Microbiology & Infectious Diseases, 2019Co-Authors: Xavier Gansel, Melissa Mary, Alex BelkumAbstract:Disease management requires the use of mixed languages when discussing etiology, diagnosis, treatment, and follow-up. All phases require Data management, and, in the optimal case, such Data are interdisciplinary and uniform and clear to all those involved. Such semantic Data Interoperability is one of the technical building blocks that support emerging digital medicine, e-health, and P4-medicine (predictive, preventive, personalized, and participatory). In a world where infectious diseases are on a trend to become hard-to-treat threats due to antimicrobial resistance, semantic Data Interoperability is part of the toolbox to fight more efficiently against those threats. In this review, we will introduce semantic Data Interoperability, summarize its added value, and analyze the technical foundation supporting the standardized healthcare system Interoperability that will allow moving forward to e-health. We will also review current usage of those foundational standards and advocate for their uptake by all infectious disease-related actors.
Marcel Frehner - One of the best experts on this subject based on the ideXlab platform.
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virtual Database spatial analysis in a web based Data management system for distributed ecological Data
Environmental Modelling and Software, 2006Co-Authors: Marcel Frehner, Martin BrandliAbstract:Abstract New challenges and requirements for the management of environmental Data require improved Data Interoperability, Data integration and Data sharing. This paper describes the conceptual design and implementation of the Virtual Database as an integrated environmental and landscape information system which supports corresponding techniques and methods. The Virtual Database consists of a framework for advanced Web-based retrieval, analysis, and visualization of spatially related environmental Data based on the integration of distributed Data repositories. Existing Internet solutions for disseminating spatial Data, such as geoportals or WebGIS, essentially provide functionality for searching, mapping, publishing and limited querying. The main focus of this paper is on extending these techniques by offering spatial analysis capabilities applicable to distributed Data sets. The current prototype version of the Virtual Database supports methods for applying spatial filters and performing spatial overlays. The implementation is based on modular and service-oriented software design, open specifications and open source software but also considers proprietary products where appropriate. Our results confirm the strategy of enforcing openness and modularity for reasons of extendibility and maintainability.
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virtual Database spatial analysis in a web based Data management system for distributed ecological Data
Environmental Modelling and Software, 2006Co-Authors: Marcel Frehner, Martin BrandliAbstract:Abstract New challenges and requirements for the management of environmental Data require improved Data Interoperability, Data integration and Data sharing. This paper describes the conceptual design and implementation of the Virtual Database as an integrated environmental and landscape information system which supports corresponding techniques and methods. The Virtual Database consists of a framework for advanced Web-based retrieval, analysis, and visualization of spatially related environmental Data based on the integration of distributed Data repositories. Existing Internet solutions for disseminating spatial Data, such as geoportals or WebGIS, essentially provide functionality for searching, mapping, publishing and limited querying. The main focus of this paper is on extending these techniques by offering spatial analysis capabilities applicable to distributed Data sets. The current prototype version of the Virtual Database supports methods for applying spatial filters and performing spatial overlays. The implementation is based on modular and service-oriented software design, open specifications and open source software but also considers proprietary products where appropriate. Our results confirm the strategy of enforcing openness and modularity for reasons of extendibility and maintainability.
Xavier Gansel - One of the best experts on this subject based on the ideXlab platform.
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Semantic Data Interoperability, digital medicine, and e-health in infectious disease management: a review
European Journal of Clinical Microbiology & Infectious Diseases, 2019Co-Authors: Xavier Gansel, Melissa Mary, Alex BelkumAbstract:Disease management requires the use of mixed languages when discussing etiology, diagnosis, treatment, and follow-up. All phases require Data management, and, in the optimal case, such Data are interdisciplinary and uniform and clear to all those involved. Such semantic Data Interoperability is one of the technical building blocks that support emerging digital medicine, e-health, and P4-medicine (predictive, preventive, personalized, and participatory). In a world where infectious diseases are on a trend to become hard-to-treat threats due to antimicrobial resistance, semantic Data Interoperability is part of the toolbox to fight more efficiently against those threats. In this review, we will introduce semantic Data Interoperability, summarize its added value, and analyze the technical foundation supporting the standardized healthcare system Interoperability that will allow moving forward to e-health. We will also review current usage of those foundational standards and advocate for their uptake by all infectious disease-related actors.
Mehedi Masud - One of the best experts on this subject based on the ideXlab platform.
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collaborative e learning systems using semantic Data Interoperability
Computers in Human Behavior, 2016Co-Authors: Mehedi MasudAbstract:In a collaborative e-learning content management environment, the heterogeneity of Data in different learning management systems presents many difficulties for Data sharing; some of these difficulties are how to integrate Data, produce results for user queries, and find the correct Data from heterogeneous learning management systems. Over the last few years, numerous e-learning system architectures have been proposed; however, issues related to sharing and integrating Data from different e-learning systems have been given less attention. Considering this need, this paper presents solutions for semantic Data Interoperability, distributed metaData management, and an agent-based query processing approach for supporting the exchange of learning content from different e-learning systems. The paper presents an empirical evaluation of the user acceptability of the proposed solutions to find qualitative measures of the users' acceptability and satisfaction; our proposed solutions resulted in high user satisfaction. A collaborative e-learning framework is presented.Semantic Data Interoperability is considered for sharing Data.The proposed approach uses agent based searching technique for finding e-learning resources.We measure user acceptability for the proposed system.
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Data Interoperability and Multimedia Content Management in e-Health Systems
IEEE Transactions on Information Technology in Biomedicine, 2012Co-Authors: Mehedi Masud, Shamim M. Hossain, Atif AlamriAbstract:e-Health systems provide a collaborative platform for sharing patients' medical Data typically stored in distributed autonomous healthcare Data sources. Each autonomous source stores its medical and multimedia Data without following any global structure. This causes heterogeneity in the underlying sources with respect to the Data and storage structure. Therefore, a Data Interoperability mechanism is required for sharing the Data among the heterogeneous sources. A proper metaData structure is also necessary to represent multimedia content in the sources to enable efficient query processing. Considering these needs, we present an Interoperability solution for sharing Data among heterogeneous Data sources. We also propose a metaData management framework for medical multimedia content including X-ray, ECG, MRI, and ultrasound images. The framework identifies features, generates and represents metaData, and produces identifiers for the medical multimedia content to facilitate efficient query processing. The framework has been tested with various user queries and the accuracy of the query results evaluated by means of precision, recall, and user feedback methods. The results confirm the effectiveness of the proposed approach.
