{"title":"Characteristics of geographic information needs","authors":"A. Henrich, Volker Lüdecke","doi":"10.1145/1316948.1316950","DOIUrl":"https://doi.org/10.1145/1316948.1316950","url":null,"abstract":"A Geographic Information Retrieval (GIR) system for answering geographic queries has to cope with various information needs, which have a wide range of contexts and implicit requirements. A user, for example, who is looking for a place to spend his or her holidays certainly has a different understanding of distance than a user looking for a bar in the city he or she lives in.\u0000 To get a better understanding of geographic information needs and their implications for GIR systems, we analysed real world (geographic) queries with regard to different facets of geographic references in queries. The results of this analysis are presented in this paper, the aim of which was a classification of the geographic aspects of information needs. We present empirical results and line out possible classification criteria, which could be helpful in designing GIR systems that are able to consider different semantics of geographic references in queries.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"8 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":"125386941","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}
{"title":"Building place ontologies for the semantic web:: issues and approaches","authors":"A. Abdelmoty, P. Smart, Christopher B. Jones","doi":"10.1145/1316948.1316951","DOIUrl":"https://doi.org/10.1145/1316948.1316951","url":null,"abstract":"Place geo-ontologies have a key role to play in the development of thegeospatial-semantic web, with regard to facilitating the search for geographical information and resources. They normally hold large amounts of geographicinformation and undergo a continuous process of revision and update. This papers reviews the limitations of the OWL ontology language for the representation of Place and proposes two novel approaches to frameworks that combine rules and OWL for building and managing Place ontologies.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"29 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":"122772151","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}
Karla A. V. Borges, Alberto H. F. Laender, C. B. Medeiros, C. Davis
{"title":"Discovering geographic locations in web pages using urban addresses","authors":"Karla A. V. Borges, Alberto H. F. Laender, C. B. Medeiros, C. Davis","doi":"10.1145/1316948.1316957","DOIUrl":"https://doi.org/10.1145/1316948.1316957","url":null,"abstract":"This paper presents an approach that helps to discover geographic locations from the recognition, extraction, and geocoding of urban addresses found in Web pages. Experiments that evaluate the presence and incidence of urban addresses in Web pages are described. Experimental results, based on a collection of over 4 million documents from the Brazilian Web, show the feasibility and effectiveness of the proposed method.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"73 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":"124695837","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}
{"title":"Exploring term selection for geographic blind feedback","authors":"Johannes Leveling","doi":"10.1145/1316948.1316961","DOIUrl":"https://doi.org/10.1145/1316948.1316961","url":null,"abstract":"Standard blind feedback techniques have been applied to geographic information retrieval (GIR) with limited success. To facilitate more geographically oriented blind feedback, this paper explores the use of meronymy (part-whole) relations for term selection, based on a meronymy predicate for selecting feedback terms.Different methods are evaluated on the German GeoCLEF 2006data, measuring standard evaluation measures such as mean average precision (MAP) or precision at five documents. To achieve a trade-off between coverage and ambiguity, a new geographic knowledge base is created, containing important place names only, which reduces ambiguity.\u0000 Results indicate that blind feedback improves performance for some topics, but does not considerably change MAP in the setup. However, a higher precision at five documents is achieved if more geographically oriented term selection criteria are applied.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"34 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":"130781488","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}
Bruno Martins, J. Borbinha, Gilberto Pedrosa, João Gil, Nuno Freire
{"title":"Geographically-aware information retrieval for collections of digitized historical maps","authors":"Bruno Martins, J. Borbinha, Gilberto Pedrosa, João Gil, Nuno Freire","doi":"10.1145/1316948.1316959","DOIUrl":"https://doi.org/10.1145/1316948.1316959","url":null,"abstract":"DIGMAP is a project focused on historical digitized maps. The project will develop a set of services, to be available in the Internet, based on reusable open-source software solutions. The main service will provide discovery and access to resources related to historical cartography, based on metadata from European national libraries and other relevant third part providers. These resources will comprise both physical and digitized objects. In the case of digitized maps, available metadata will be enriched by automatic and semi-automatic processes that will try to extract relevant indexing information from the images of the digitized maps, as also from any kind of associated text. This paper presents an early overview on the project, particularly focusing on the aspects related to geographical information retrieval.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"19 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":"116816148","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}
Paul D. Clough, Robert C. Pasley, Stefan Siersdorfer, José San Pedro, M. Sanderson
{"title":"Visualising the south yorkshire floods of '07","authors":"Paul D. Clough, Robert C. Pasley, Stefan Siersdorfer, José San Pedro, M. Sanderson","doi":"10.1145/1316948.1316972","DOIUrl":"https://doi.org/10.1145/1316948.1316972","url":null,"abstract":"This paper describes initial work on developing an information system to gather, process and visualise various multimedia data sources related to the South Yorkshire (UK) floods of 2007. The work is part of the Memoir project which aims to investigate how technology can help people create and manage long-term personal memories. We are using maps to aggregate multimedia data and to stimulate remembering past events. The paper describes an initial prototype; challenges faced so far and planned future work.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"4 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":"133262694","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}
{"title":"Geographic image retrieval in mobile guides","authors":"R. Jesus, Ricardo J. Dias, Rute Frias, N. Correia","doi":"10.1145/1316948.1316958","DOIUrl":"https://doi.org/10.1145/1316948.1316958","url":null,"abstract":"This paper describes an application that is based on geographic queries to retrieve personal pictures when visiting points of interest using mobile devices such as PDAs. The retrieved information can be visualized in different ways, including the spatial visualization of the pictures of the places visited. The paper describes the user interface features and the experiments that were made to illustrate the proposed methods.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"4 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":"116056320","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}
{"title":"Mining geographic knowledge using location aware topic model","authors":"Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma","doi":"10.1145/1316948.1316967","DOIUrl":"https://doi.org/10.1145/1316948.1316967","url":null,"abstract":"Most online activities are associated with geographical locations. For example, people write personal blogs about interesting places they have ever been to; read news about important local events; and search the web to find delicious restaurants. Mining geographical knowledge from these online activities can greatly benefit lots of web applications. In this paper, we propose a Location Aware Topic Model (LATM), a probabilistic graphical model, to explicitly model the relationships between locations and words. Experiments on several data sets, including news and blogs, showed satisfactory results.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"115 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":"117143039","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}
{"title":"Geo-tagging for imprecise regions of different sizes","authors":"Robert C. Pasley, Paul D. Clough, M. Sanderson","doi":"10.1145/1316948.1316969","DOIUrl":"https://doi.org/10.1145/1316948.1316969","url":null,"abstract":"Extracting geographical information from various web sources is likely to be important for a variety of applications. One such use for this information is to enable the study of vernacular regions: informal places referred to on a day-to-day basis, but with no official entry in geographical resources, such as gazetteers. Past work in automatically extracting geographical information from the web to support the creation of vernacular regions has tended to focus on larger regions (e.g. \"The British Midlands\" and \"The South of France\"). In this paper we report the results of preliminary work to investigate the success of using a simple geo-tagging approach and resources of varying granularity from the Ordnance Survey to extract geographical information from web pages. We find that the data gathered for smaller regions (compared with larger ones) is more \"fine-grained\" which has an effect on the type of resource most useful for geo-tagging and its success.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"15 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":"129714516","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}
{"title":"Searching geographic resources through metadata-based queries for expert user communities","authors":"L. Paolino, M. Sebillo, G. Tortora, G. Vitiello","doi":"10.1145/1316948.1316970","DOIUrl":"https://doi.org/10.1145/1316948.1316970","url":null,"abstract":"Many systems have been implemented to allow users to benefit from available data on the Internet. In this paper we present a retrieval method which takes into account specific properties of geographic data and discriminates among them on the basis of a core set of metadata elements. Along this line, four different typologies of queries have been proposed, which combine two levels of data searching with two kinds of matching. The query language and the data management are accomplished by following an XML approach based on XML.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"240 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":"125796646","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}
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