ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservation... more ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservations.org/gci_gci.shtml), and in particular the introduction of a middleware in the GCI that brokers across heterogeneous information systems, have increased significantly the number of information resources discoverable worldwide. Now the challenge moves to the next level of ensuring access and use of the resources discovered, which have many different and domain-specific data models, communication protocols, encoding formats, etc. The GEOWOW Project - GEOSS interoperability for Weather, Ocean and Water, http://www.geowow.eu - developed a set of multidisciplinary use scenarios to advance the present GCI. This work describes the "Easy discovery and use of GEOSS resources for addressing multidisciplinary challenges related to drought scenarios" showcase demonstrated at the last GEO Plenary in Foz de Iguazu (Brazil). The scientific objectives of this showcase include: prevention and mitigation of water scarcity and drought situations, assessment of the population and geographical area potentially affected, evaluation of the possible distribution of mortality and economic loss risk, and support in building greater capacity to cope with drought. The need to address these challenges calls for producing scientifically robust and consistent information about the extent of land affected by drought and degradation. Similarly, in this context it is important: (i) to address uncertainties about the way in which various biological, physical, social, and economic factors interact each other and influence the occurrence of drought events, and (ii) to develop and test adequate indices and/or combination of them for monitoring and forecasting drought in different geographic locations and at various spatial scales (Brown et al., 2002). The scientific objectives above can be met with an increased interoperability across the multidisciplinary domains relevant to this drought scenario. In particular, we demonstrate in this instance (i) an improved search capability through semantically related resources, (ii) a harmonized access to the heterogeneous resources discovered, and (iii) a flexible transformation framework to access, download and use the resources discovered, and implement scientifically-sound scenarios that respond to environmental global challenges. This showcase demonstrates how the middleware services provided by the GEO Discovery and Access Broker - DAB (Nativi et al., 2013) - component can be used to address the multidisciplinary interoperability challenges. With respect to discovery, the GEO DAB allows to expand the traditional discovery functionalities using a set of semantically connected concepts delivered through vocabulary services. This makes it possible to obtain an extended result set, where the user can find new unexpected datasets of interest for her/his analysis. Moreover, the use of semantics-enabled queries makes it possible to search and retrieve data resources in multiple languages, which is a crucial issue in global research. With respect to access and use, the GEO DAB makes it possible for users to preview, access, and use the resources discovered according to a common grid environment. Users can define a common grid environment - Coordinate Reference System (CRS), spatial resolution, spatial extent (e.g., a subset of a discovered dataset), and data encoding format - to download all the datasets of interest. This is crucial for advancing an effective integrated exploitation of multidisciplinary data coming from heterogeneous sources. In normal practice, the manipulation of the data discovered (pre-processing) that is necessary ahead of the analysis has to be done by the user. The GEO DAB takes this burden away from the user providing a true added value service. The showcase presented here goes of course beyond the specifics of drought applications, and is of interest because it demonstrates real advancements in the use of complex system of systems, form simple discovery, to more semantically aware multilingual discovery, and above all access and use of the information resources which is the critical goal. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement n. 282915. References Jesslyn F. Brown, Bradley C. Reed, Michael J. Hayes, Donald A. Wilhite, and Kenneth Hubbard. A Prototype Drought Monitoring System Integrating Climate and Satellite Data. Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002 Conference Proceedings S. Nativi, M. Craglia, J. Pearlman, 2013, "Earth Science Infrastructures Interoperability: the Brokering Approach", in press on IEEE JSTARS
In this paper we solve the problem of classifying chestnut plants according to their place of ori... more In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which, MLP, RBF, SVM, C4.5 decision tree and random forest. We determine which features are meaningful for the classification, the achievable classification accuracy of these classifiers families with the available features and how much the classifiers are robust to noise. Among the obtained classifiers, neural networks show the greatest robustness to noise.
The INSPIRE Directive, which came into force in 2007 and is expected to be fully implemented by 2... more The INSPIRE Directive, which came into force in 2007 and is expected to be fully implemented by 2020, aims to establish a European Spatial Data Infrastructure in order to support policy making by providing more and better spatial data. The following report analyses the state of implementation of the Directive at the mid-point of its implementation. The conclusions of the report suggest that INSPIRE implementation is on track, however, certain actions - especially coordination and data sharing – would benefit from strategic adjustment.
MetaData Retrieval (MDR) is a software module for the enrichment of geo-referenced maps with meta... more MetaData Retrieval (MDR) is a software module for the enrichment of geo-referenced maps with metadata. Metadata are annotations on spatial locations that are taken from the Volunteered Graphical Information projects like OpenStreetMap and GeoNames.
ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservation... more ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservations.org/gci_gci.shtml), and in particular the introduction of a middleware in the GCI that brokers across heterogeneous information systems, have increased significantly the number of information resources discoverable worldwide. Now the challenge moves to the next level of ensuring access and use of the resources discovered, which have many different and domain-specific data models, communication protocols, encoding formats, etc. The GEOWOW Project - GEOSS interoperability for Weather, Ocean and Water, http://www.geowow.eu - developed a set of multidisciplinary use scenarios to advance the present GCI. This work describes the "Easy discovery and use of GEOSS resources for addressing multidisciplinary challenges related to drought scenarios" showcase demonstrated at the last GEO Plenary in Foz de Iguazu (Brazil). The scientific objectives of this showcase include: prevention and mitigation of water scarcity and drought situations, assessment of the population and geographical area potentially affected, evaluation of the possible distribution of mortality and economic loss risk, and support in building greater capacity to cope with drought. The need to address these challenges calls for producing scientifically robust and consistent information about the extent of land affected by drought and degradation. Similarly, in this context it is important: (i) to address uncertainties about the way in which various biological, physical, social, and economic factors interact each other and influence the occurrence of drought events, and (ii) to develop and test adequate indices and/or combination of them for monitoring and forecasting drought in different geographic locations and at various spatial scales (Brown et al., 2002). The scientific objectives above can be met with an increased interoperability across the multidisciplinary domains relevant to this drought scenario. In particular, we demonstrate in this instance (i) an improved search capability through semantically related resources, (ii) a harmonized access to the heterogeneous resources discovered, and (iii) a flexible transformation framework to access, download and use the resources discovered, and implement scientifically-sound scenarios that respond to environmental global challenges. This showcase demonstrates how the middleware services provided by the GEO Discovery and Access Broker - DAB (Nativi et al., 2013) - component can be used to address the multidisciplinary interoperability challenges. With respect to discovery, the GEO DAB allows to expand the traditional discovery functionalities using a set of semantically connected concepts delivered through vocabulary services. This makes it possible to obtain an extended result set, where the user can find new unexpected datasets of interest for her/his analysis. Moreover, the use of semantics-enabled queries makes it possible to search and retrieve data resources in multiple languages, which is a crucial issue in global research. With respect to access and use, the GEO DAB makes it possible for users to preview, access, and use the resources discovered according to a common grid environment. Users can define a common grid environment - Coordinate Reference System (CRS), spatial resolution, spatial extent (e.g., a subset of a discovered dataset), and data encoding format - to download all the datasets of interest. This is crucial for advancing an effective integrated exploitation of multidisciplinary data coming from heterogeneous sources. In normal practice, the manipulation of the data discovered (pre-processing) that is necessary ahead of the analysis has to be done by the user. The GEO DAB takes this burden away from the user providing a true added value service. The showcase presented here goes of course beyond the specifics of drought applications, and is of interest because it demonstrates real advancements in the use of complex system of systems, form simple discovery, to more semantically aware multilingual discovery, and above all access and use of the information resources which is the critical goal. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement n. 282915. References Jesslyn F. Brown, Bradley C. Reed, Michael J. Hayes, Donald A. Wilhite, and Kenneth Hubbard. A Prototype Drought Monitoring System Integrating Climate and Satellite Data. Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002 Conference Proceedings S. Nativi, M. Craglia, J. Pearlman, 2013, "Earth Science Infrastructures Interoperability: the Brokering Approach", in press on IEEE JSTARS
426 Chapter 18 A SOA-Based System for Territory Monitoring Elena Roglia Turin University, Italy R... more 426 Chapter 18 A SOA-Based System for Territory Monitoring Elena Roglia Turin University, Italy Rosa Meo Turin University, Italy ABSTRACT This chapter outlines the functionalities of a system that integrates sensor data transmitted by a fleet of unmanned aircrafts for territorial surveillance and protection from natural disasters. Some functions of the system are based on the Service Oriented Architecture paradigm (Erl, 2005) and follow Open Geospatial Consortium (OGC) standards (Open Geospatial Consortium) in the representation of geographical data in a ...
International Journal of Organizational and Collective Intelligence, 2014
ABSTRACT The authors present in this paper the functionalities of the Metadata Retrieval (MDR) mo... more ABSTRACT The authors present in this paper the functionalities of the Metadata Retrieval (MDR) module, a software component developed to enrich the information content of a system controlling a fleet of Unmanned Aircraft Vehicles (UAVs) by means of annotations on locations provided by Volunteered Geographical Information (VGI) projects. MDR, developed in the context of an overall project based on SOA architecture, adds updated information to the system via Web Services provided by OpenStreetMap and GeoNames. Furthermore, MDR can be applied for the acquisition and the integration of users’ spatial annotations and use them in any way to produce, illustrate and enhance geo-summaries. Actually MDR performs the content characterization of a spatial area by means of a filter that selects the statistically significant annotations whose frequency in the area is in contrast with the surrounding.
Abstract. In this paper we solve the problem of classifying chestnut plants according to their pl... more Abstract. In this paper we solve the problem of classifying chestnut plants according to their place of origin; we compare the results obtained by a multi-layer perceptron with C4. 5 decision tree and random forest. We will determine which features are meaningful for the classification, the achievable classification accuracy of these three classifiers families with the available features and how much the classifiers are robust to noise. We show that in this botanic domain it is possible to reduce the number of features still maintaining high the ...
European Symposium on Artificial Neural Networks, 2008
Abstract. In this paper we solve the problem of classifying chestnut plants according to their pl... more Abstract. In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which, MLP, RBF, SVM, C4. 5 decision tree and random forest. We determine which features are meaningful for the classification, the achievable classification accuracy of these classifiers families with the available features and how much the classifiers are robust to noise. Among the obtained classifiers, neural networks show the greatest robustness to noise.
In this paper, we outline the functionalities of a system that integrates and controls a fleet of... more In this paper, we outline the functionalities of a system that integrates and controls a fleet of Unmanned Aircraft Vehicles (UAVs). UAVs have a set of payload sensors employed for territorial surveillance, whose outputs are stored in the system and analysed by the data exploitation functions at different levels. In particular, we detail the second level data exploitation function whose aim is to improve the sensors data interpretation in the post-mission activities. It is concerned with the mosaicking of the aerial images and the cartography enrichment by human sensors-the social media users. We also describe the software architecture for the development of a mash-up (the integration of information and functionalities coming from the Web) and the possibility of using human sensors in the monitoring of the territory, a field in which, traditionally, the involved sensors were only the hardware ones.
ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservation... more ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservations.org/gci_gci.shtml), and in particular the introduction of a middleware in the GCI that brokers across heterogeneous information systems, have increased significantly the number of information resources discoverable worldwide. Now the challenge moves to the next level of ensuring access and use of the resources discovered, which have many different and domain-specific data models, communication protocols, encoding formats, etc. The GEOWOW Project - GEOSS interoperability for Weather, Ocean and Water, http://www.geowow.eu - developed a set of multidisciplinary use scenarios to advance the present GCI. This work describes the "Easy discovery and use of GEOSS resources for addressing multidisciplinary challenges related to drought scenarios" showcase demonstrated at the last GEO Plenary in Foz de Iguazu (Brazil). The scientific objectives of this showcase include: prevention and mitigation of water scarcity and drought situations, assessment of the population and geographical area potentially affected, evaluation of the possible distribution of mortality and economic loss risk, and support in building greater capacity to cope with drought. The need to address these challenges calls for producing scientifically robust and consistent information about the extent of land affected by drought and degradation. Similarly, in this context it is important: (i) to address uncertainties about the way in which various biological, physical, social, and economic factors interact each other and influence the occurrence of drought events, and (ii) to develop and test adequate indices and/or combination of them for monitoring and forecasting drought in different geographic locations and at various spatial scales (Brown et al., 2002). The scientific objectives above can be met with an increased interoperability across the multidisciplinary domains relevant to this drought scenario. In particular, we demonstrate in this instance (i) an improved search capability through semantically related resources, (ii) a harmonized access to the heterogeneous resources discovered, and (iii) a flexible transformation framework to access, download and use the resources discovered, and implement scientifically-sound scenarios that respond to environmental global challenges. This showcase demonstrates how the middleware services provided by the GEO Discovery and Access Broker - DAB (Nativi et al., 2013) - component can be used to address the multidisciplinary interoperability challenges. With respect to discovery, the GEO DAB allows to expand the traditional discovery functionalities using a set of semantically connected concepts delivered through vocabulary services. This makes it possible to obtain an extended result set, where the user can find new unexpected datasets of interest for her/his analysis. Moreover, the use of semantics-enabled queries makes it possible to search and retrieve data resources in multiple languages, which is a crucial issue in global research. With respect to access and use, the GEO DAB makes it possible for users to preview, access, and use the resources discovered according to a common grid environment. Users can define a common grid environment - Coordinate Reference System (CRS), spatial resolution, spatial extent (e.g., a subset of a discovered dataset), and data encoding format - to download all the datasets of interest. This is crucial for advancing an effective integrated exploitation of multidisciplinary data coming from heterogeneous sources. In normal practice, the manipulation of the data discovered (pre-processing) that is necessary ahead of the analysis has to be done by the user. The GEO DAB takes this burden away from the user providing a true added value service. The showcase presented here goes of course beyond the specifics of drought applications, and is of interest because it demonstrates real advancements in the use of complex system of systems, form simple discovery, to more semantically aware multilingual discovery, and above all access and use of the information resources which is the critical goal. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement n. 282915. References Jesslyn F. Brown, Bradley C. Reed, Michael J. Hayes, Donald A. Wilhite, and Kenneth Hubbard. A Prototype Drought Monitoring System Integrating Climate and Satellite Data. Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002 Conference Proceedings S. Nativi, M. Craglia, J. Pearlman, 2013, "Earth Science Infrastructures Interoperability: the Brokering Approach", in press on IEEE JSTARS
In this paper we solve the problem of classifying chestnut plants according to their place of ori... more In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which, MLP, RBF, SVM, C4.5 decision tree and random forest. We determine which features are meaningful for the classification, the achievable classification accuracy of these classifiers families with the available features and how much the classifiers are robust to noise. Among the obtained classifiers, neural networks show the greatest robustness to noise.
The INSPIRE Directive, which came into force in 2007 and is expected to be fully implemented by 2... more The INSPIRE Directive, which came into force in 2007 and is expected to be fully implemented by 2020, aims to establish a European Spatial Data Infrastructure in order to support policy making by providing more and better spatial data. The following report analyses the state of implementation of the Directive at the mid-point of its implementation. The conclusions of the report suggest that INSPIRE implementation is on track, however, certain actions - especially coordination and data sharing – would benefit from strategic adjustment.
MetaData Retrieval (MDR) is a software module for the enrichment of geo-referenced maps with meta... more MetaData Retrieval (MDR) is a software module for the enrichment of geo-referenced maps with metadata. Metadata are annotations on spatial locations that are taken from the Volunteered Graphical Information projects like OpenStreetMap and GeoNames.
ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservation... more ABSTRACT Recent enhancements of the GEOSS Common Infrastructure (GCI; http://www.earthobservations.org/gci_gci.shtml), and in particular the introduction of a middleware in the GCI that brokers across heterogeneous information systems, have increased significantly the number of information resources discoverable worldwide. Now the challenge moves to the next level of ensuring access and use of the resources discovered, which have many different and domain-specific data models, communication protocols, encoding formats, etc. The GEOWOW Project - GEOSS interoperability for Weather, Ocean and Water, http://www.geowow.eu - developed a set of multidisciplinary use scenarios to advance the present GCI. This work describes the "Easy discovery and use of GEOSS resources for addressing multidisciplinary challenges related to drought scenarios" showcase demonstrated at the last GEO Plenary in Foz de Iguazu (Brazil). The scientific objectives of this showcase include: prevention and mitigation of water scarcity and drought situations, assessment of the population and geographical area potentially affected, evaluation of the possible distribution of mortality and economic loss risk, and support in building greater capacity to cope with drought. The need to address these challenges calls for producing scientifically robust and consistent information about the extent of land affected by drought and degradation. Similarly, in this context it is important: (i) to address uncertainties about the way in which various biological, physical, social, and economic factors interact each other and influence the occurrence of drought events, and (ii) to develop and test adequate indices and/or combination of them for monitoring and forecasting drought in different geographic locations and at various spatial scales (Brown et al., 2002). The scientific objectives above can be met with an increased interoperability across the multidisciplinary domains relevant to this drought scenario. In particular, we demonstrate in this instance (i) an improved search capability through semantically related resources, (ii) a harmonized access to the heterogeneous resources discovered, and (iii) a flexible transformation framework to access, download and use the resources discovered, and implement scientifically-sound scenarios that respond to environmental global challenges. This showcase demonstrates how the middleware services provided by the GEO Discovery and Access Broker - DAB (Nativi et al., 2013) - component can be used to address the multidisciplinary interoperability challenges. With respect to discovery, the GEO DAB allows to expand the traditional discovery functionalities using a set of semantically connected concepts delivered through vocabulary services. This makes it possible to obtain an extended result set, where the user can find new unexpected datasets of interest for her/his analysis. Moreover, the use of semantics-enabled queries makes it possible to search and retrieve data resources in multiple languages, which is a crucial issue in global research. With respect to access and use, the GEO DAB makes it possible for users to preview, access, and use the resources discovered according to a common grid environment. Users can define a common grid environment - Coordinate Reference System (CRS), spatial resolution, spatial extent (e.g., a subset of a discovered dataset), and data encoding format - to download all the datasets of interest. This is crucial for advancing an effective integrated exploitation of multidisciplinary data coming from heterogeneous sources. In normal practice, the manipulation of the data discovered (pre-processing) that is necessary ahead of the analysis has to be done by the user. The GEO DAB takes this burden away from the user providing a true added value service. The showcase presented here goes of course beyond the specifics of drought applications, and is of interest because it demonstrates real advancements in the use of complex system of systems, form simple discovery, to more semantically aware multilingual discovery, and above all access and use of the information resources which is the critical goal. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement n. 282915. References Jesslyn F. Brown, Bradley C. Reed, Michael J. Hayes, Donald A. Wilhite, and Kenneth Hubbard. A Prototype Drought Monitoring System Integrating Climate and Satellite Data. Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002 Conference Proceedings S. Nativi, M. Craglia, J. Pearlman, 2013, "Earth Science Infrastructures Interoperability: the Brokering Approach", in press on IEEE JSTARS
426 Chapter 18 A SOA-Based System for Territory Monitoring Elena Roglia Turin University, Italy R... more 426 Chapter 18 A SOA-Based System for Territory Monitoring Elena Roglia Turin University, Italy Rosa Meo Turin University, Italy ABSTRACT This chapter outlines the functionalities of a system that integrates sensor data transmitted by a fleet of unmanned aircrafts for territorial surveillance and protection from natural disasters. Some functions of the system are based on the Service Oriented Architecture paradigm (Erl, 2005) and follow Open Geospatial Consortium (OGC) standards (Open Geospatial Consortium) in the representation of geographical data in a ...
International Journal of Organizational and Collective Intelligence, 2014
ABSTRACT The authors present in this paper the functionalities of the Metadata Retrieval (MDR) mo... more ABSTRACT The authors present in this paper the functionalities of the Metadata Retrieval (MDR) module, a software component developed to enrich the information content of a system controlling a fleet of Unmanned Aircraft Vehicles (UAVs) by means of annotations on locations provided by Volunteered Geographical Information (VGI) projects. MDR, developed in the context of an overall project based on SOA architecture, adds updated information to the system via Web Services provided by OpenStreetMap and GeoNames. Furthermore, MDR can be applied for the acquisition and the integration of users’ spatial annotations and use them in any way to produce, illustrate and enhance geo-summaries. Actually MDR performs the content characterization of a spatial area by means of a filter that selects the statistically significant annotations whose frequency in the area is in contrast with the surrounding.
Abstract. In this paper we solve the problem of classifying chestnut plants according to their pl... more Abstract. In this paper we solve the problem of classifying chestnut plants according to their place of origin; we compare the results obtained by a multi-layer perceptron with C4. 5 decision tree and random forest. We will determine which features are meaningful for the classification, the achievable classification accuracy of these three classifiers families with the available features and how much the classifiers are robust to noise. We show that in this botanic domain it is possible to reduce the number of features still maintaining high the ...
European Symposium on Artificial Neural Networks, 2008
Abstract. In this paper we solve the problem of classifying chestnut plants according to their pl... more Abstract. In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which, MLP, RBF, SVM, C4. 5 decision tree and random forest. We determine which features are meaningful for the classification, the achievable classification accuracy of these classifiers families with the available features and how much the classifiers are robust to noise. Among the obtained classifiers, neural networks show the greatest robustness to noise.
In this paper, we outline the functionalities of a system that integrates and controls a fleet of... more In this paper, we outline the functionalities of a system that integrates and controls a fleet of Unmanned Aircraft Vehicles (UAVs). UAVs have a set of payload sensors employed for territorial surveillance, whose outputs are stored in the system and analysed by the data exploitation functions at different levels. In particular, we detail the second level data exploitation function whose aim is to improve the sensors data interpretation in the post-mission activities. It is concerned with the mosaicking of the aerial images and the cartography enrichment by human sensors-the social media users. We also describe the software architecture for the development of a mash-up (the integration of information and functionalities coming from the Web) and the possibility of using human sensors in the monitoring of the territory, a field in which, traditionally, the involved sensors were only the hardware ones.
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Papers by Elena Roglia