Geographic knowledge extraction and semantic similarity in OpenStreetMap

Ballatore, Andrea; Bertolotto, Michela; Wilson, David C.

doi:10.1007/s10115-012-0571-0

Cited by 118 publications

(95 citation statements)

References 55 publications

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“…Many scholars have done a research on VGI projects, namely OpenStreetMap (e.g. ; Haklay, 2010;Arsanjani et al, 2013;Ballatore et al, 2013), Google Map and Bing Map (Cipeluch et al 2010) and Flickr and Panoramio (Zielstra and Hochmair, 2013).…”

Section: Volunteered Geographic Information Conceptmentioning

confidence: 99%

Analysing the Sustainability of Urban Development: A review on the Potential Use of Volunteered Geographic Information

Ibrahim

Ujang

Desa

et al. 2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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The challenges of how to ensure sustainable urban development are currently one of the important agenda among governments around the world. The stakeholders require the latest and high volume of geographic information for the decision making process to efficiently respond to challenges, improve service delivery to citizens, and plan a successful future of the city. However, it is timeconsuming and costly to get the available information and some of the information is not up-to-date. Recently, GeoWeb 2.0 technological advances have increased the number of volunteers from non-professional citizen to contribute to the collection, sharing, and distribution of geographic information. The information known as Volunteered Geographic Information (VGI) has generated another approach of spatial data sources that can give up-to-date, huge volume of data, and available geographic information in a low cost for various applications. With this in mind, this paper presents a review of literature based on the potential use of Volunteered Geographic Information (VGI) in measuring sustainability of urban development. The review highlighted that social, economic, and environment as three pertinent pillars relating to the use of VGI for measurement sustainable urban development.

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Section: Volunteered Geographic Information Conceptmentioning

confidence: 99%

Analysing the Sustainability of Urban Development: A review on the Potential Use of Volunteered Geographic Information

Ibrahim

Ujang

Desa

et al. 2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…As such approaches rely on rich, formal definitions of geographic terms, they are unfit to compare volunteered lexical definitions. In our previous work, we have explored techniques suitable for VGI, such as graph-based measures of semantic similarity on the OSM Semantic Network (Ballatore et al 2012a). We have enriched the OSM semantic model with Semantic Web resources (Ballatore and Bertolotto 2011), and we have outlined a GIR system based on the semantic similarity of map viewports (Ballatore et al 2012b).…”

Section: Related Workmentioning

confidence: 99%

“…OSM contributors define, update and refer to these definitions to create and utilise the OSM vector data set. The OSM Semantic Network, a machine-readable semantic artefact, was extracted from the wiki website (Ballatore et al 2012a). 4 The average length of lexical definitions in the OSM Semantic Network is 44 terms, with a standard deviation of 33.…”

Section: Volunteered Lexical Definitionsmentioning

confidence: 99%

Computing the semantic similarity of geographic terms using volunteered lexical definitions

Ballatore

Wilson

Bertolotto

2013

International Journal of Geographical Information Science

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Volunteered geographic information (VGI) is generated by heterogenous 'information communities' that co-operate to produce reusable units of geographic knowledge. A consensual lexicon is a key factor to enable this open production model. Lexical definitions help demarcate the boundaries of terms, forming a thin semantic ground on which knowledge can travel. In VGI, lexical definitions often appear to be inconsistent, circular, noisy and highly idiosyncratic. Computing the semantic similarity of these 'volunteered lexical definitions' has a wide range of applications in GIScience, including information retrieval, data mining and information integration. This article describes a knowledge-based approach to quantify the semantic similarity of lexical definitions. Grounded in the recursive intuition that similar terms are described using similar terms, the approach relies on paraphrase-detection techniques and the lexical database WordNet. The cognitive plausibility of the approach is evaluated in the context of the OpenStreetMap (OSM) Semantic Network, obtaining high correlation with human judgements. Guidelines are provided for the practical usage of the approach.

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“…Some semantic similarity measures were also developed specifically for VGI. For example, [58] propose a semantic similarity measure for comparing OSM geographic classes. [59] also propose a semantic similarity measure for OSM features that takes into account the history of changes in the naming of these features.…”

Section: Semantic Annotationmentioning

confidence: 99%

Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model

Bakillah

Liang

Zipf

et al. 2013

IJGI

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Abstract:The increasing availability of sensor devices has resulted in important volumes of sensor data, which has raised the issue of making these data fully discoverable and interpretable by applications and end-users. The idea of OGC Sensor Web Enablement (SWE) has addressed this issue by proposing a set of standards to enable accessibility of sensor data over the Web. Similarly, there is a growing interest in volunteered geographic information (VGI). Considering that several researchers have highlighted the potential of this new type of information as a complement to existing, "traditional" data, it becomes important to develop frameworks to support the integration of VGI from several sources and with other types of data. In this paper, we make a first step in this direction by proposing a framework for the semantic interoperability of sensor data and VGI. After having performed an investigation of the types of VGI applications, we have developed a conceptual model of VGI aligned with relevant ISO standards for describing geospatial features. The purpose of this model is to support the generation of common descriptions for VGI applications, which will act as interfaces to higher-level services, such as discovery and reasoning services, in order to be exploited in conjunction with sensor data by client applications. This process is described through architecture for semantic interoperability of sensor data and VGI that we have developed and that we intend to use to set guidelines for future research on integration of VGI in sensor data cyberinfrastructures. We illustrate the

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Geographic knowledge extraction and semantic similarity in OpenStreetMap

Cited by 118 publications

References 55 publications

Analysing the Sustainability of Urban Development: A review on the Potential Use of Volunteered Geographic Information

Analysing the Sustainability of Urban Development: A review on the Potential Use of Volunteered Geographic Information

Computing the semantic similarity of geographic terms using volunteered lexical definitions

Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model

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