Geospatial Information Integration for Authoritative and Crowd Sourced Road Vector Data

Du, Heshan; Anand, Suchith; Alechina, Natasha; Morley, Jeremy; Hart, Glen; Leibovici, Didier; Jackson, Mike; Ware, J. Mark

doi:10.1111/j.1467-9671.2012.01303.x

Cited by 32 publications

(21 citation statements)

References 11 publications

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“…An official spatial dataset can be considerably different from a VGI dataset. The integration of VGI data (e.g., OpenStreetMap) and official data is an important issue for many applications such as data-description enrichment [7,8], data-quality enhancement [9], and data-change detections. However, the consistency of geographical ISPRS Int.…”

Section: Introductionmentioning

confidence: 99%

A Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different Scales

Shen

2017

IJGI

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Abstract:In geographic information systems, the reliability of querying, analysing, or reasoning results depends on the data quality. One central criterion of data quality is consistency, and identifying inconsistencies is crucial for maintaining the integrity of spatial data from multiple sources or at multiple resolutions. In traditional methods of consistency assessment, vector data are used as the primary experimental data. In this manuscript, we describe the use of a new type of raster data, tile maps, to access the consistency of information from multiscale representations of the water bodies that make up drainage systems. We describe a hierarchical methodology to determine the spatial consistency of tile-map datasets that display water areas in a raster format. Three characteristic indices, the degree of global feature consistency, the degree of local feature consistency, and the degree of overlap, are proposed to measure the consistency of multiscale representations of water areas. The perceptual hash algorithm and the scale-invariant feature transform (SIFT) descriptor are applied to extract and measure the global and local features of water areas. By performing combined calculations using these three characteristic indices, the degrees of consistency of multiscale representations of water areas can be divided into five grades: exactly consistent, highly consistent, moderately consistent, less consistent, and inconsistent. For evaluation purposes, the proposed method is applied to several test areas from the Tiandi map of China. In addition, we identify key technologies that are related to the process of extracting water areas from a tile map. The accuracy of the consistency assessment method is evaluated, and our experimental results confirm that the proposed methodology is efficient and accurate.

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Section: Introductionmentioning

confidence: 99%

A Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different Scales

Shen

2017

IJGI

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“…By using a semantic value and disregarding its representation, Fonseca [8] constructed geographic ontology for data integration. Du et al [9] In this paper, we mainly centered on the first step of geospatial data conflation-matching. The remainder of this paper is organized as follows: Section 2 presents related work regarding geospatial data integration and the corresponding objects matching in GIS; Section 3 presents the character of each attribute separately, describes the methodology to convey the similarity metric, and then describes the Entropy-Weighted Approach (EWA) we used to calculate the weights by the entropy of attributes; Section 4 presents experimental data, different models proposed based on EWA and an evaluation of our work; and Section 5 presents the conclusions of the study and discusses further work.…”

Section: Related Workmentioning

confidence: 99%

“…By using a semantic value and disregarding its representation, Fonseca [8] constructed geographic ontology for data integration. Du et al [9] converted geo-data sets to ontologies and merged these ontologies into a coherent ontology to integrate disparate geospatial road vector data. Zhu, et al [10] indicated that merging multi-source ontologies based on a concept lattice could reduce the redundancy among different concepts.…”

Section: Related Workmentioning

confidence: 99%

Entropy-Weighted Instance Matching Between Different Sourcing Points of Interest

Xing

Xia

et al. 2016

Entropy

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Abstract:The crucial problem for integrating geospatial data is finding the corresponding objects (the counterpart) from different sources. Most current studies focus on object matching with individual attributes such as spatial, name, or other attributes, which avoids the difficulty of integrating those attributes, but at the cost of an ineffective matching. In this study, we propose an approach for matching instances by integrating heterogeneous attributes with the allocation of suitable attribute weights via information entropy. First, a normalized similarity formula is developed, which can simplify the calculation of spatial attribute similarity. Second, sound-based and word segmentation-based methods are adopted to eliminate the semantic ambiguity when there is a lack of a normative coding standard in geospatial data to express the name attribute. Third, category mapping is established to address the heterogeneity among different classifications. Finally, to address the non-linear characteristic of attribute similarity, the weights of the attributes are calculated by the entropy of the attributes. Experiments demonstrate that the Entropy-Weighted Approach (EWA) has good performance both in terms of precision and recall for instance matching from different data sets.

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“…This method has been used to evaluate the statistics of road network completeness in urban and rural areas based on the lengths of the matching line features. Besides the geometrical feature matching, another approach is to use the ontology-based methods (e.g., in [22]) for merging features from crowd-sourced and authoritative domains.…”

Section: Spatial Data Matching and Conflatingmentioning

confidence: 99%

Towards an Authoritative OpenStreetMap: Conflating OSM and OS OpenData National Maps’ Road Network

Pourabdollah

Morley

Feldman

et al. 2013

IJGI

Self Cite

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Abstract:The quality aspects of OpenStreetMap (OSM), as the global representation of crowd-sourced mapping, have always been of priomary concern to academics. While the methodologies for checking its quality against the national maps have been implemented by a number of studies, there are minimal works on how to practically improve the quality of OSM towards being an authoritative map source. This paper presents a method for conflating road attributes, namely the name and reference code, of OSM with the Open Data provided by Ordnance Survey (the British national mapping agency). The added values in the proposed methodology include the daily updates and serving of the conflated maps via open Web Services. More importantly, the OSM crowd correction is facilitated by frequently highlighting and web-serving the individual differences. There are currently over 5,800 differences in matching road names and references between the two datasets. In addition to describing the conflation methodology, the different geographic distribution patterns of the identified differences are discussed. A negative effect of the road density on the ratio of the mismatched features between the two datasets is observable, evidenced by their different geographical distribution over the map. It is shown that the best correspondence between attributes exists in the very dense areas, followed by the very low density areas, and lastly in the middle to large sized cities.

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Geospatial Information Integration for Authoritative and Crowd Sourced Road Vector Data

Cited by 32 publications

References 11 publications

A Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different Scales

A Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different Scales

Entropy-Weighted Instance Matching Between Different Sourcing Points of Interest

Towards an Authoritative OpenStreetMap: Conflating OSM and OS OpenData National Maps’ Road Network

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