DO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap

Codescu, Mihai; Horsinka, Gregor; Kutz, Oliver; Mossakowski, Till; Rau, Rafaela

doi:10.1007/978-3-642-20630-6_6

Cited by 23 publications

(18 citation statements)

References 14 publications

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“…Moreover, due to the size of the OSM database, keeping good scalability is still a major challenge (Auer et al 2009). The second ontology, called OSMonto, has been designed for use in a navigation web service (Codescu et al 2011). Compared to LinkedGeoData, OSMonto provides a richer description of relationships between the OSM tags (e.g., "hasCuisine" relationships for a seafood restaurant).…”

Section: Context-centric Approachmentioning

confidence: 99%

Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap

Vandecasteele

Devillers

2015

Lecture Notes in Geoinformation and Cartography

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Studies have analyzed the quality of volunteered geographic information (VGI) datasets, assessing the positional accuracy of features and the semantic accuracy of the attributes. While it has been shown that VGI can, in some contexts, reach a high positional accuracy, these studies have also highlighted a large spatial heterogeneity in positional accuracy and completeness, but also concerning the semantics of the objects. Such high semantic heterogeneity of VGI datasets becomes a significant obstacle to a number of possible uses that could be made of the data. This paper proposes an approach for both improving the semantic quality and reducing the semantic heterogeneity of VGI datasets. The improvement of the semantic quality is achieved by using a tag recommender system, called OSMantic, which automatically suggests relevant tags to contributors during the editing process. Such an approach helps contributors find the most appropriate tags for a given object, hence reducing the overall dataset semantic heterogeneity. The approach was implemented into a plugin for the Java OpenStreetMap editor (JOSM) and different examples illustrate how this plugin can be used to improve the quality of VGI data. This plugin has been tested by OSM contributors and evaluated using an online questionnaire. Results of the evaluation suggest a high level of satisfaction from users and are discussed.

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Section: Context-centric Approachmentioning

confidence: 99%

Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap

Vandecasteele

Devillers

2015

Lecture Notes in Geoinformation and Cartography

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“…Further, the LinkedGeoData ontology represents information in the form of tree structures with objects being connected by relationships (e.g., 'is_a') [16,86,87]. OSMonto, an ontology-based tool, was designed for use in a navigation web service by Codescu et al [88] for providing the context-centric assessment. Hopf et al [89] have developed a methodology on the semantic assessment of prohibition signs in OSM data.…”

Section: Semantic Accuracymentioning

confidence: 99%

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Sehra

Singh

2017

Future Internet

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OpenStreetMap (OSM) is a recent emerging area in computational science. There are several unexplored issues in the quality assessment of OSM. Firstly, researchers are using various established assessment methods by comparing OSM with authoritative dataset. However, these methods are unsuitable to assess OSM data quality in the case of the non-availability of authoritative data. In such a scenario, the intrinsic quality indicators can be used to assess the quality. Secondly, a framework for data assessment specific to different geographic information system (GIS) domains is not available. In this light, the current study presents an extension of the Quantum GIS (QGIS) processing toolbox by using existing functionalities and writing new scripts to handle spatial data. This would enable researchers to assess the completeness of spatial data using intrinsic indicators. The study also proposed a heuristic approach to test the road navigability of OSM data. The developed models are applied on Punjab (India) OSM data. The results suggest that the OSM project in Punjab (India) is progressing at a slow peace, and contributors' motivation is required to enhance the fitness of data. It is concluded that the scripts developed to provide an intuitive method to assess the OSM data based on quality indicators can be easily utilized for evaluating the fitness-of-use of the data of any region.

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“…Moreover, due to the size of the OSM database, keeping a good scalability is still a major challenge (Auer et al, 2009). The second ontology, called OSMonto has been designed for use in a navigation web service (Codescu et al, 2011). Compared to LinkedGeoData, OSMonto provides a richer description of relationships between the OSM tags (e.g., hasCuisine relationships for a seafood restaurant).…”

Section: Context-centric Approachmentioning

confidence: 99%

Improving Volunteered Geographic Data Quality Using Semantic Similarity Measurements

Vandecasteele

Devillers²

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Studies have analysed the quality of volunteered geographic information (VGI) datasets, assessing the positional accuracy of features and the completeness of specific attributes. While it has been shown that VGI can, in some context, reach a high positional accuracy, these works have also highlighted a large spatial heterogeneity in positional accuracy, completeness but also with regards to the semantics of the objects. Such high semantic heterogeneity of VGI datasets becomes a significant obstacle to a number of possible uses that could be made of the data. This paper proposes an approach for both improving the semantic quality and reducing the semantic heterogeneity of VGI dat asets. The improvement of the semantic quality is achieved by automatically suggesting attributes to contributors during the editing process. The reduction of semantic heterogeneity is achieved by automatically notifying contributors when two attributes are too similar or too dissimilar. The approach was implemented into a plugin for OpenStreetMap and different examples illustrate how this plugin can be used to improve the quality of VGI data.

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DO-ROAM: Activity-Oriented Search and Navigation with OpenStreetMap

Cited by 23 publications

References 14 publications

Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap

Improving Volunteered Geographic Information Quality Using a Tag Recommender System: The Case of OpenStreetMap

Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox

Improving Volunteered Geographic Data Quality Using Semantic Similarity Measurements

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