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Proceedings of the 13th Workshop on Geographic Information Retrieval最新文献

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Assessing flood severity from georeferenced photos 根据地理参考照片评估洪水严重程度
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-28 DOI: 10.1145/3371140.3371145
Jorge Pereira, João Monteiro, J. Estima, Bruno Martins
{"title":"Assessing flood severity from georeferenced photos","authors":"Jorge Pereira, João Monteiro, J. Estima, Bruno Martins","doi":"10.1145/3371140.3371145","DOIUrl":"https://doi.org/10.1145/3371140.3371145","url":null,"abstract":"The use of georeferenced social media data in disaster and crisis management is increasing rapidly. Particularly in connection to flooding events, georeferenced images shared by citizens can provide situational awareness to emergency responders, as well as assistance to financial loss assessment, giving information that would otherwise be very hard to collect through conventional sensors or remote sensing products. Moreover, recent advances in computer vision and deep learning can perhaps support the automated analysis of these data. In this paper, focusing on ground-level images taken by humans during flooding events, we evaluate the use of deep convolutional neural networks for (i) discriminating images showing direct evidence of a flood, and (ii) estimating the severity of the flooding event. Considering distinct datasets (i.e., the European Flood 2013 dataset, and data from different editions of the MediaEval Multimedia Satellite Task), we specifically evaluated models based on the DenseNet and EfficientNet neural network architectures, concluding that these models for image classification can achieve a very high accuracy on both tasks.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"7 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120911922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A theatre of places: mapping 17th c. french theatre 一个地方的剧院:映射17世纪的法国剧院
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-28 DOI: 10.1145/3371140.3371146
Simon Gabay, G. Vitali
{"title":"A theatre of places: mapping 17th c. french theatre","authors":"Simon Gabay, G. Vitali","doi":"10.1145/3371140.3371146","DOIUrl":"https://doi.org/10.1145/3371140.3371146","url":null,"abstract":"As a form of distant reading, mapping texts allows scholars to read classical works anew. Using 17th French theatre as a test case, we describe an easily reproducible and fully open-source workflow used for extracting and mapping place names, then reach conclusions on literary influences and the strength of genre during the Grand Siècle based.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"476 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126422961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
How to identify appropriate key-value pairs for querying OSM 如何为查询OSM识别合适的键值对
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-28 DOI: 10.1145/3371140.3371147
Madiha Yousaf, D. Wolter
{"title":"How to identify appropriate key-value pairs for querying OSM","authors":"Madiha Yousaf, D. Wolter","doi":"10.1145/3371140.3371147","DOIUrl":"https://doi.org/10.1145/3371140.3371147","url":null,"abstract":"This paper presents a study on how natural language words that designate types of spatial entities (metropolis, city, creek, etc.) can automatically be translated to the entity classification used in OpenStreetMap (OSM) that assigns key-value tags to entities. The problem of identifying key-value pairs for querying OSM occurs in geographic information retrieval based on natural language text and is difficult for three reasons: Conceptualisation of entities in natural language text and in OSM often differs. Even classification of a single entity type is subject to variations throughout the OSM database. Language is rich and offers many words to communicate nuances of a single entity type. The contribution of this paper is to analyse the contribution of semantic word similarity using Word-Net to identify a mapping from natural language to OSM tags. We present a strategy to identify key-value pairs for natural language words using WordNet and analyse its effectiveness.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"C-24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126479319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Resolving places, past and present: toponym resolution in historical british newspapers using multiple resources 解析地点，过去和现在:使用多种资源的英国历史报纸的地名解析
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-28 DOI: 10.1145/3371140.3371143
Mariona Coll Ardanuy, Katherine McDonough, A. Krause, Daniel C. S. Wilson, Kasra Hosseini, Daniel Alexander van Strien
{"title":"Resolving places, past and present: toponym resolution in historical british newspapers using multiple resources","authors":"Mariona Coll Ardanuy, Katherine McDonough, A. Krause, Daniel C. S. Wilson, Kasra Hosseini, Daniel Alexander van Strien","doi":"10.1145/3371140.3371143","DOIUrl":"https://doi.org/10.1145/3371140.3371143","url":null,"abstract":"Newspapers and their metadata are richly geographical, not only in their distribution but also their content. Attending to these spatial features is a prerequisite in newspaper research. Following other projects to have geoparsed place names in newspapers, we describe our approach to linking historical geospatial information in text to real-world locations which 1) adopts an expansive definition of what counts as a locatable entity; 2) uses knowledge bases derived from contemporaneous sources; and 3) leverages contextual information to disambiguate hard-to-locate places. This method depends on combining historical and non-historical resources and the paper discusses the potential benefits for humanities research.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128983708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Local geographic information storing and querying using Elasticsearch 使用Elasticsearch存储和查询本地地理信息
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-28 DOI: 10.1145/3371140.3371144
Rebecca Bartlett
{"title":"Local geographic information storing and querying using Elasticsearch","authors":"Rebecca Bartlett","doi":"10.1145/3371140.3371144","DOIUrl":"https://doi.org/10.1145/3371140.3371144","url":null,"abstract":"The Ottawa Resource Collection at Carleton University is frequently used by researchers to retrieve information about specific neighbourhoods, landmarks, and properties in Ottawa, Ontario, Canada. This paper describes the development of a tool to retrieve geographic locations from within the recently digitized corpus to facilitate local-area research.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133754355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Estimating locations of social media content through a graph-based link prediction 通过基于图的链接预测来估计社交媒体内容的位置
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-28 DOI: 10.1145/3371140.3371141
Pengyuan Liu, Stefano De Sabbata
{"title":"Estimating locations of social media content through a graph-based link prediction","authors":"Pengyuan Liu, Stefano De Sabbata","doi":"10.1145/3371140.3371141","DOIUrl":"https://doi.org/10.1145/3371140.3371141","url":null,"abstract":"The increasing availability of GPS-enabled devices and social media platforms has led to an increasing interest in mining geolocated content. However, our understanding of the role played by social media in the social construction of place has been limited by the fact that only a small percentage of social media posts are geolocated. Spatio-temporal modelling research in this field so far has mainly focused on analysing the behaviour of single users and predicting user movement patterns based on posts and check-in activities. In this paper, we focus instead on harnessing the dynamics of overall content production from multiple users in a single place to estimate the location of new non-geotagged content. Our proposed location prediction framework uses a variational graph autoencoder, and it allows us to estimate the geolocations of posts based on the semantic understandings of their contents and their topological structure.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121376237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Spatial search strategies for open government data: a systematic comparison 开放政府数据的空间搜索策略:系统比较
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 2019-11-04 DOI: 10.1145/3371140.3371142
Auriol Degbelo, Brhane Bahrishum Teka
{"title":"Spatial search strategies for open government data: a systematic comparison","authors":"Auriol Degbelo, Brhane Bahrishum Teka","doi":"10.1145/3371140.3371142","DOIUrl":"https://doi.org/10.1145/3371140.3371142","url":null,"abstract":"The increasing availability of open government datasets on the Web calls for ways to enable their efficient access and searching. There is however an overall lack of understanding regarding spatial search strategies which would perform best in this context. To address this gap, this work has assessed the impact of different spatial search strategies on performance and user relevance judgment. We harvested machine-readable spatial datasets and their metadata from three English-based open government data portals, performed metadata enhancement, developed a prototype and performed both a theoretical and user-based evaluation. The results highlight that (i) switching between area of overlap and Hausdorff distance for spatial similarity computation does not have any substantial impact on performance; and (ii) the use of Hausdorff distance induces slightly better user relevance ratings than the use of area of overlap. The data collected and the insights gleaned may serve as a baseline against which future work can compare.","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Proceedings of the 13th Workshop on Geographic Information Retrieval 第十三届地理信息检索研讨会论文集
Proceedings of the 13th Workshop on Geographic Information Retrieval Pub Date : 1900-01-01 DOI: 10.1145/3371140
{"title":"Proceedings of the 13th Workshop on Geographic Information Retrieval","authors":"","doi":"10.1145/3371140","DOIUrl":"https://doi.org/10.1145/3371140","url":null,"abstract":"","PeriodicalId":169676,"journal":{"name":"Proceedings of the 13th Workshop on Geographic Information Retrieval","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125169235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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