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Evaluating field crisping methods for representing spatial prepositions 评价表示空间介词的域压缩方法
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460019
M. Hall, Christopher B. Jones
{"title":"Evaluating field crisping methods for representing spatial prepositions","authors":"M. Hall, Christopher B. Jones","doi":"10.1145/1460007.1460019","DOIUrl":"https://doi.org/10.1145/1460007.1460019","url":null,"abstract":"There is a need for GIR systems to interpret the vague aspects of spatial language. Here we describe an initial approach towards evaluating crisp realisations of a field-based model of the use of the spatial preposition \"near\", based on evidence of usage of the term in image captions.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127002937","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
Identifying location in indonesian documents for geographic information retrieval 识别印尼语文件中的位置，用于地理信息检索
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316955
M. Adriani, Monica Lestari Paramita
{"title":"Identifying location in indonesian documents for geographic information retrieval","authors":"M. Adriani, Monica Lestari Paramita","doi":"10.1145/1316948.1316955","DOIUrl":"https://doi.org/10.1145/1316948.1316955","url":null,"abstract":"Our research focuses on Geographic Information Retrieval for Indonesian documents. We constructed a Geographical Gazeeter for geographic locations based on information that we collected from the Geographic resources. We used the table to identify the locations of events that are mentioned in the documents. We added a location index associated with each document. We also identified the possible locations based on words that indicate the relative position to locations mentioned in the queries. The result of our experiments showed that the location index and the processing of words indicating relative positions improved the retrieval performance of natural language queries. Applying the query expansion techniques by adding keywords and locations from the documents to the queries resulted in significant performance improvement.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122306067","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: 8
Towards a context model driven german geo-tagging system 面向上下文模型驱动的德国地理标记系统
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316956
André Blessing, R. Kuntz, Hinrich Schütze
{"title":"Towards a context model driven german geo-tagging system","authors":"André Blessing, R. Kuntz, Hinrich Schütze","doi":"10.1145/1316948.1316956","DOIUrl":"https://doi.org/10.1145/1316948.1316956","url":null,"abstract":"In this paper, we present a new approach for recognition and grounding of geographic proper names for German. Named Entity Recognition (NER) in German is more difficult than in English because not only proper names, but all nouns start with capital letters, which results in a large pool of potential ambiguous entities. Our approach makes critical use of a geographic knowledge base that is more detailed (down to the level of streets) and more structured than most knowledge bases used before. We have designed a three-stepmodel (spotting, typing, referencing) that specifies the sources of information that are necessary for geo-tagging and their dependency relationships. Basic aspects of the model were implemented and evaluated in a proof of concept. The model can be applied to other NER tasks by simply substituting the appropriate knowledge base for the one used here and retraining the model.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637592","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: 10
A query-aware document ranking method for geographic information retrieval 基于查询感知的地理信息检索文档排序方法
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316962
Bo Yu, Guoray Cai
{"title":"A query-aware document ranking method for geographic information retrieval","authors":"Bo Yu, Guoray Cai","doi":"10.1145/1316948.1316962","DOIUrl":"https://doi.org/10.1145/1316948.1316962","url":null,"abstract":"Geographically oriented search must consider both the thematic and geographic dimensions of relevance when matching documents to queries. We propose a dynamic document ranking scheme to combine the thematic and geographic relevance measures on a per-query basis. Query specificity is introduced to determine the relative weights of different sources of ranking evidence for each query. A preliminary evaluation comparing with human judgment shows that our method to distinguish different types of geo-referenced queries based on query specificity is promising to address the issue of relevance combination in GIR document ranking. In addition, we explore the possibility of using Dempster-Shafer's theory to combine the two different sources of ranking evidence.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123719889","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: 50
A comparison of methods for the automatic identification of locations in wikipedia 维基百科中位置自动识别方法的比较
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316971
D. Buscaldi, Paolo Rosso
{"title":"A comparison of methods for the automatic identification of locations in wikipedia","authors":"D. Buscaldi, Paolo Rosso","doi":"10.1145/1316948.1316971","DOIUrl":"https://doi.org/10.1145/1316948.1316971","url":null,"abstract":"In this paper we compare two methods for the automatic identification of geographical articles in encyclopedic resources such as Wikipedia. The methods are a WordNet-based method that uses a set of keywords related to geographical places, and a multinomial Naïve Bayes classificator, trained over a randomly selected subset of the English Wikipedia. This task may be included into the broader task of Named Entity classification, a well-known problem in the field of Natural Language Processing. The experiments were carried out considering both the full text of the articles and only the definition of the entity being described in the article. The obtained results show that the information contained in the page templates and the category labels is more useful than the text of the articles.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114180702","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: 15
Facilitating situation assessment through gir with multi-scale open source web documents 通过多尺度开源网络文档，促进态势评估
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316973
Brian M. Tomaszewski, C. Pan, P. Mitra, A. MacEachren
{"title":"Facilitating situation assessment through gir with multi-scale open source web documents","authors":"Brian M. Tomaszewski, C. Pan, P. Mitra, A. MacEachren","doi":"10.1145/1316948.1316973","DOIUrl":"https://doi.org/10.1145/1316948.1316973","url":null,"abstract":"In this paper, we present our preliminary work on a Geographic Information Retrieval (GIR) system that utilizes loosely coupled web services and Google Earth™(GE) to retrieve, extract, combine, and visualize situation information from multi-scale, open source web documents. Our intent with this work is to support situation assessment in the crisis management domain through tools that link and geographically contextualize information contained in text documents retrieved from multiple sources. In particular, our present work focuses on combining two data sources - The Federal Emergency Management Agency (FEMA) National Situation Updates and Google News\"™.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129361251","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
Spatial filters for mobile information retrieval 用于移动信息检索的空间滤波器
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316964
D. Mountain
{"title":"Spatial filters for mobile information retrieval","authors":"D. Mountain","doi":"10.1145/1316948.1316964","DOIUrl":"https://doi.org/10.1145/1316948.1316964","url":null,"abstract":"This paper introduces the concept of spatial filters as an approach to increasing the relevance of the information retrieved by users of mobile information systems. This approach applies post-query filters to remove results that are deemed not relevant given some aspect of a mobile individual's spatial behaviour. The aim is to reduce the volume of results returned to users of mobile information systems, to avoid the need for manual filtering. An opportunity for future research is to consider how these filters can be applied to the task of combining rankings based upon thematic and spatial criteria, for documents retrieved from unstructured or semi-structured collections, such as those handled by geographic information retrieval systems.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129215693","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: 15
Visualization of geographic query results for small screen devices 小屏幕设备的地理查询结果可视化
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316965
M. B. Carmo, A. Afonso, P. Matos
{"title":"Visualization of geographic query results for small screen devices","authors":"M. B. Carmo, A. Afonso, P. Matos","doi":"10.1145/1316948.1316965","DOIUrl":"https://doi.org/10.1145/1316948.1316965","url":null,"abstract":"The visualization of geo-referenced information on a map has become an essential method to help the users to get the intended information. The adaptation of visualization techniques for mobile devices, such as, PDA and mobile phones make this type of applications ubiquitous. However, the context of mobility and the limitations of mobile devices, such as, the small screen, suggest that some visualization techniques may not be appropriate for those devices. In this work we intend to integrate filtering mechanisms, based on semantic criteria, and to use multiple representations with different levels of detail to generate intelligible representations as a result of geographic queries in mobile environments.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128501617","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: 22
Geographic co-occurrence as a tool for gir. 地理共生作为女孩的工具。
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316968
Simon E. Overell, S. Rüger
{"title":"Geographic co-occurrence as a tool for gir.","authors":"Simon E. Overell, S. Rüger","doi":"10.1145/1316948.1316968","DOIUrl":"https://doi.org/10.1145/1316948.1316968","url":null,"abstract":"In this paper we describe the development of a geographic co-occurrence model and how it can be applied to geographic information retrieval. The model consists of mining co-occurrences of placenames from Wikipedia, and then mapping these placenames to locations in the Getty Thesaurus of Geographical Names. We begin by quantifying the accuracy of our model and compute theoretical bounds for the accuracy achievable when applied to placename disambiguation in free text. We conclude with a discussion of the improvement such a model could provide for placename disambiguation and geographic relevance ranking over traditional methods.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124624333","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: 28
Search words and geography 搜索词和地理
Workshop on Geographic Information Retrieval Pub Date : 2007-11-09 DOI: 10.1145/1316948.1316952
M. Sanderson, Yu Han
{"title":"Search words and geography","authors":"M. Sanderson, Yu Han","doi":"10.1145/1316948.1316952","DOIUrl":"https://doi.org/10.1145/1316948.1316952","url":null,"abstract":"In this paper, we present a preliminary study of geographic query words, which users' tend to re-use. The categories of the words demonstrate that geographically related words take up the largest proportion of all repeated words. These geo-words refer to a range of spatial areas. In addition, it was found that different geo-word types are re-used in different ways by users.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121817134","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: 27
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