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Flamenco + Geo: extending a hierarchical faceted metadata search interface with geographic capabilities Flamenco + Geo:扩展具有地理功能的分层面元数据搜索界面
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460022
Patricia Frontiera
{"title":"Flamenco + Geo: extending a hierarchical faceted metadata search interface with geographic capabilities","authors":"Patricia Frontiera","doi":"10.1145/1460007.1460022","DOIUrl":"https://doi.org/10.1145/1460007.1460022","url":null,"abstract":"This paper describes initial work on developing a geographic information retrieval system that provides both spatial and text-based functionality. The system is an extension to Flamenco, an open source browse and search interface framework based on hierarchical faceted metadata.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"30 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":"116043250","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
Map-based vs. knowledge-based toponym disambiguation 基于地图与基于知识的地名消歧
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460011
D. Buscaldi, Paolo Rosso
{"title":"Map-based vs. knowledge-based toponym disambiguation","authors":"D. Buscaldi, Paolo Rosso","doi":"10.1145/1460007.1460011","DOIUrl":"https://doi.org/10.1145/1460007.1460011","url":null,"abstract":"Toponym Disambiguation, i.e. the task of assigning to place name their correct reference in the world, is getting more attention from many researchers. Many methods have been proposed since now, making use of different resources, techniques and sense inventories. Unfortunately, a gold standard for the evaluation of those methods is not yet available; therefore, it is difficult to verify the performance of such methods. Recently, a georeferenced version of WordNet has been developed, a resource that can be used to compare methods that are based on geographical data with methods that use textual information. In this paper we carry out a comparison between two of these methods. The results show that the knowledge-based method allowed us to obtain better results with a smaller context size. On the other hand, we observed that the map-based method needs a large context to obtain a good accuracy.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"45 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":"131660889","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: 38
Geographic scope modeling for web documents web文档的地理范围建模
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460010
C. E. Campelo, C. Baptista
{"title":"Geographic scope modeling for web documents","authors":"C. E. Campelo, C. Baptista","doi":"10.1145/1460007.1460010","DOIUrl":"https://doi.org/10.1145/1460007.1460010","url":null,"abstract":"Geographic Information Retrieval (GIR) has become a very attractive area of research. GIR is a specialization of a traditional information retrieval system, which may index and search Web documents based on their spatial footprints. Research in this new field may be categorized into crawling spatial-related documents, modeling the geographic scope of a document, indexing these documents using textual and spatial features, and the building of spatially-enabled searching and ranking. This paper presents a method for modeling the geographic scope. The proposed model is based on both the statistics collected from the detected references; and the spatial distribution of the places involved in a given document. This model aims to simplify the indexing and searching processes. Furthermore, the number of spatial operations is reduced, as a consequence the overall performance is improved.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"1 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":"132026274","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
Fuzzying GIS topological functions for GIR needs 模糊GIS拓扑功能以满足GIR需求
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460008
C. Sallaberry, M. Gaio, Damien Palacio, J. Lesbegueries
{"title":"Fuzzying GIS topological functions for GIR needs","authors":"C. Sallaberry, M. Gaio, Damien Palacio, J. Lesbegueries","doi":"10.1145/1460007.1460008","DOIUrl":"https://doi.org/10.1145/1460007.1460008","url":null,"abstract":"Natural Language 'schematizes' space; textual geographic information is usually a selection of certain aspects of a referent scene while neglecting others. Thus, an indexing process relying on such information obviously contains some degree of imprecision and uncertainty. The PIV prototype is a GIR system dedicated to geographic evocations tagging, geo-computing, indexing, querying and visualizing in wide corpora of travel books. The aim of this paper is to focus on the PIV spatial relationships management of vagueness for distance, direction and topology relationships. The proposed approach extends GIS operators with fuzzy spatial relationship functions like proximity and cardinal direction.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"183 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":"134066210","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: 12
A caption annotation scheme for georeferencing images 一种用于地理参考图像的标题标注方案
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460026
E. Barker, R. Purves
{"title":"A caption annotation scheme for georeferencing images","authors":"E. Barker, R. Purves","doi":"10.1145/1460007.1460026","DOIUrl":"https://doi.org/10.1145/1460007.1460026","url":null,"abstract":"We propose a caption annotation scheme to address the task of obtaining a geo-footprint for an image from caption text, introducing tags to identify image subject and using SpatialML to annotate and ground references to image subject location.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"91 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":"117291792","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
GikiP: evaluating geographical answers from wikipedia GikiP:评估维基百科的地理答案
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460024
Diana Santos, Nuno Cardoso
{"title":"GikiP: evaluating geographical answers from wikipedia","authors":"Diana Santos, Nuno Cardoso","doi":"10.1145/1460007.1460024","DOIUrl":"https://doi.org/10.1145/1460007.1460024","url":null,"abstract":"This paper describes GikiP, a pilot task that took place in 2008 in CLEF. We present the motivation behind GikiP and the use of Wikipedia as the evaluation collection, detail the task and we list new ideas for its continuation.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"38 Suppl 1 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":"134091489","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: 12
A system for the automatic comparison of machine and human geocoded documents 一种自动比较机器和人类地理编码文件的系统
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460012
I. Turton
{"title":"A system for the automatic comparison of machine and human geocoded documents","authors":"I. Turton","doi":"10.1145/1460007.1460012","DOIUrl":"https://doi.org/10.1145/1460007.1460012","url":null,"abstract":"This paper describes an initial experiment in testing a geocoding system by comparing geocoded documents to locations assigned by human indexers as part of the MeSH indexing process of the PUBMED abstracting system. Preliminary results indicate that this is a useful check on the geocoding system and provides useful feed-back to developers of geocoding systems.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"52 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":"122976643","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
Geographic features in web search retrieval 网络检索中的地理特征
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460023
R. Jones, Ahmed Hassan Awadallah, Fernando Diaz
{"title":"Geographic features in web search retrieval","authors":"R. Jones, Ahmed Hassan Awadallah, Fernando Diaz","doi":"10.1145/1460007.1460023","DOIUrl":"https://doi.org/10.1145/1460007.1460023","url":null,"abstract":"We conduct large-scale search engine relevance experiments, using the 12% of queries that contain placenames, matching the placenames to places in the documents, and examining the impact of geographic features on web retrieval relevance. Specifically we examine distance between query and document place-names mentioned, noting that when a document has multiple places (which we observe in 82% of documents) we must choose a function over those multiple places. We find that the minimum distance between the document locations and query location is the strongest geographical predictor of document relevance, and that combining geographic features with text features gives us a 5% improvement in relevance over using text features alone.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"1 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":"129250157","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: 16
Spatial autocorrelation and toponym ambiguity 空间自相关与地名歧义
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460013
T. Brunner, R. Purves
{"title":"Spatial autocorrelation and toponym ambiguity","authors":"T. Brunner, R. Purves","doi":"10.1145/1460007.1460013","DOIUrl":"https://doi.org/10.1145/1460007.1460013","url":null,"abstract":"In this paper, we explore the spatial distribution of the referents of ambiguous toponyms and compare it to the distribution of randomly selected unambiguous toponym pairs. We show that for a number of gazetteers, ambiguous toponyms are spatially autocorrelated and that typical autocorrelations are similar to the size of document scopes for a newspaper corpus.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"303 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":"122800994","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: 17
Mining the web to detect place names 挖掘网络来检测地名
Workshop on Geographic Information Retrieval Pub Date : 2008-10-29 DOI: 10.1145/1460007.1460017
Florian A. Twaroch, P. Smart, Christopher B. Jones
{"title":"Mining the web to detect place names","authors":"Florian A. Twaroch, P. Smart, Christopher B. Jones","doi":"10.1145/1460007.1460017","DOIUrl":"https://doi.org/10.1145/1460007.1460017","url":null,"abstract":"With the aim to improve the quality of gazetteers for geographic information retrieval systems, we present a method to detect place names employed by people submitting information to Web resources. We investigate how often people refer to a place using locative phrases in web queries and address the problem of defining cognitively significant place names. We propose Web mining as a means to decide whether a given particular named entity is in fact a place.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"1 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":"130544528","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: 20
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