An Assessment of Several Taxonomies of Volunteered Geographic Information

User-Generated Content (UGC) in general, and Volunteered Geographical Information (VGI) in particular, are becoming more important as sources for official data bases, such as those used in national Spatial Data Infrastructures (SDIs). Discovering and assessing VGI as suitable geospatial resources for one’s purposes is hence becoming more important, but can be difficult. One way of assessing VGI resources is by classifying them into different types of resources, i.e. a taxonomy of resources. The question is whether such taxonomies can accurately identify suitable VGI resources. We assess five taxonomies both subjectively and using formal concept analysis to determine their discrimination adequacy, that is, how well the taxonomies discriminate between repositories containing UGC in general, or VGI in particular.

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Geographic information. Spatial data infrastructures

10.3403/30256984u ◽

2015 ◽

Keyword(s):

Spatial Data ◽

Geographic Information ◽

Data Infrastructures ◽

Spatial Data Infrastructures

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Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

International Journal of Applied Geospatial Research ◽

10.4018/ijagr.2016070101 ◽

2016 ◽

Vol 7 (3) ◽

pp. 1-37

Author(s):

Willington Siabato ◽

Javier Moya-Honduvilla ◽

Miguel Ángel Bernabé-Poveda

Keyword(s):

Information Management ◽

Spatial Data ◽

Information Technologies ◽

Geographic Information ◽

Information Services ◽

Air Traffic ◽

Geographic Information Technologies ◽

Web Architecture ◽

Data Infrastructures ◽

Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

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Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

Environmental Information Systems ◽

10.4018/978-1-5225-7033-2.ch015 ◽

2019 ◽

pp. 306-348

Author(s):

Willington Siabato ◽

Javier Moya-Honduvilla ◽

Miguel Ángel Bernabé-Poveda

Keyword(s):

Information Management ◽

Spatial Data ◽

Information Technologies ◽

Geographic Information ◽

Information Services ◽

Air Traffic ◽

Geospatial Information ◽

Geographic Information Technologies ◽

Data Infrastructures ◽

Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

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Conciliating Perspectives from Mapping Agencies and Web of Data on Successful European SDIs: Toward a European Geographic Knowledge Graph

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9020062 ◽

2020 ◽

Vol 9 (2) ◽

pp. 62 ◽

Cited By ~ 1

Author(s):

Bénédicte Bucher ◽

Esa Tiainen ◽

Thomas Ellett von Brasch ◽

Paul Janssen ◽

Dimitris Kotzinos ◽

...

Keyword(s):

Spatial Data ◽

Geographical Information ◽

Knowledge Graph ◽

Geographic Knowledge ◽

Computer Scientists ◽

Web Of Data ◽

Data Infrastructures ◽

Spatial Data Infrastructures ◽

The One ◽

The Web

Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. It studies contributions and competences from two communities in this field: cartographers, authoritative data providers, and geographic information scientists on the one hand, and computer scientists working on the Web of Data on the other. During several workshops organized by the EuroSDR and Eurogeographics organizations, the authors analyzed their complementarity and discovered reasons for the difficult collaboration between these communities. They have different and sometimes conflicting perspectives on what successful SDIs should look like, as well as on priorities. We developed a proposal to integrate both perspectives, which is centered on the elaboration of an open European Geographical Knowledge Graph. Its structure reuses results from the literature on geographical information ontologies. It is associated with a multifaceted roadmap addressing interrelated aspects of SDIs.

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Geographic information. Spatial data infrastructures

10.3403/30256984 ◽

2013 ◽

Keyword(s):

Spatial Data ◽

Geographic Information ◽

Data Infrastructures ◽

Spatial Data Infrastructures

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Geospatial Indicators

Utilizing Decision Support Systems for Strategic Public Policy Planning - Advances in Public Policy and Administration ◽

10.4018/978-1-7998-1916-5.ch006 ◽

2020 ◽

pp. 89-108

Keyword(s):

Spatial Data ◽

Driving Force ◽

Monitoring And Evaluation ◽

Geographic Information ◽

Developed Country ◽

Data Infrastructures ◽

Spatial Data Infrastructures ◽

Reliable Methods

The chapter presents the geospatial indicators. Over the last 10 years, development of spatial data infrastructures (SDIs) has become an important subject being a driving force for the national geospatial strategies and plans, increasing the availability and accessibility of geographic information and the exchange and sharing of spatial data. It has become a necessity to have reliable methods and instruments to assess these SDI initiatives. SDI monitoring and evaluation can provide justification for providing public sources to SDI and a measure of success of SDI strategy. The chapter presents the newly developed Country Geospatial Readiness Index.

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An Ontology-Based Approach to Support Information Discovery in Spatial Data Infrastructures

Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences ◽

10.4018/978-1-4666-2190-9.ch018 ◽

2012 ◽

pp. 369-387

Author(s):

Fabio Gomes de Andrade ◽

Cláudio De Souza Baptista

Keyword(s):

Spatial Data ◽

Geographic Information ◽

Specific Information ◽

Information Discovery ◽

Geographic Data ◽

Data Infrastructures ◽

Spatial Data Infrastructures ◽

Multiple Ontologies ◽

Support Information

Currently, spatial data infrastructures (SDIs) are becoming the solution adopted by many organizations to facilitate discovery, access and integration of geographic information produced and provided by different agencies. However, the catalog services currently offered by these infrastructures provide keyword-based queries only. This may result on low recall and precision. Furthermore, these catalogs retrieve information based on the metadata records that describe either a service or a dataset. This feature brings limitations to more specific information discovery, such as those based on feature types and instances. This chapter proposes a solution that aims to overcome these limitations by using multiple ontologies to enhance the description of the information offered by SDIs. The proposed ontologies describe the semantics of several features of a service, enabling information discovery at level of services, feature types, and geographic data.

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