{"title":"Eliciting concepts of place for text-based image retrieval","authors":"A. Edwardes, R. Purves","doi":"10.1145/1316948.1316953","DOIUrl":"https://doi.org/10.1145/1316948.1316953","url":null,"abstract":"This paper describes research being employed in the Tripod project to improve the retrieval of photographs through a comprehensive knowledge of where they were taken. The methods described here attempt to elicit semantics, and thus terms for use in indexing, related to the idea of place from theoretical geography. Three approaches are outlined: literature-based, empirical experiments, and data mining.","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":"130283469","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":"Query expansion through geographical feature types","authors":"Nuno Cardoso, Mário J. Silva","doi":"10.1145/1316948.1316963","DOIUrl":"https://doi.org/10.1145/1316948.1316963","url":null,"abstract":"This paper introduces a new approach for expansion of queries with geographical context. The proposed strategy is based on a query parser that captures geonames and spatial relationships, and maps geographical features and feature types into concepts of a geographical ontology. Different strategies for query expansion, according to the geographical restrictions given by the user, are compared. The proposed method allows a more versatile and focused expansion towards the geographical information need of the user.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"2 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":"121536578","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}
J. Exposto, J. Macedo, A. Pina, A. Alves, J. Rufino
{"title":"Geographical partition for distributed web crawling","authors":"J. Exposto, J. Macedo, A. Pina, A. Alves, J. Rufino","doi":"10.1145/1096985.1096999","DOIUrl":"https://doi.org/10.1145/1096985.1096999","url":null,"abstract":"This paper evaluates scalable distributed crawling by means of the geographical partition of the Web. The approach is based on the existence of multiple distributed crawlers each one responsible for the pages belonging to one or more previously identified geographical zones. The work considers a distributed crawler where the assignment of pages to visit is based on page content geographical scope. For the initial assignment of a page to a partition we use a simple heuristic that marks a page within the same scope of the hosting web server geographical location. During download, if the analyze of a page contents recommends a different geographical scope, the page is forwarded to the well-located web server.A sample of the Portuguese Web pages, extracted during the year 2005, was used to evaluate: a) page download communication times and the b) overhead of pages exchange among servers. Evaluation results permit to compare our approach to conventional hash partitioning strategies.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122784066","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":"Finding geodata that otherwise would have been forgotten- GeoXchange: a SDI-based portal for sharing free geodata","authors":"Sven Tschirner, A. Zipf","doi":"10.1145/1096985.1096996","DOIUrl":"https://doi.org/10.1145/1096985.1096996","url":null,"abstract":"A key problem of small organizations like departments of geography, ecology, geodesy, architecture, landscape planning, archeology etc is, that they also produce - from time to time - some spatial data - mostly in small projects or master theses or PhD thesis. This data is usually not included in any spatial data infrastructure. Therefore we developed a GeoPortal - the geoXchange Portal - that gives the possibility to store, annotate and share such geodata produced by small institutions that do not have the resources to build up a SDI on their own. The portal is realized using open standards of OGC, ISO and W3C. It allows describing the geodata sets with metadata according to ISO 19115 (CORE) - as well as Dublin Core. This metadata can be queried using a Web Interface to an OGC conformant Catalog Service (CSW) and also using a graphical map interface (bounding-box) through a Web Map Service (WMS). Geodata itself can be uploaded to the portal directly though a transactional Web Feature Service (WFS) through which it also can be accessed. Uploaded data is made automatically available via the map query interface, too, in order to allow visual queries.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115753355","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}
Tiago M. Delboni, Karla A. V. Borges, Alberto H. F. Laender
{"title":"Geographic web search based on positioning expressions","authors":"Tiago M. Delboni, Karla A. V. Borges, Alberto H. F. Laender","doi":"10.1145/1096985.1097000","DOIUrl":"https://doi.org/10.1145/1096985.1097000","url":null,"abstract":"In this paper, we explore the use of natural language expressions to perform geographic searches on the Web, without resorting to geocoded data. Such expressions denote the positioning of a subject with respect to a landmark --- a valuable source of geographical context embedded in the unstructured text of Web documents. Our approach leads to novel query expansion techniques that can be explored by virtually any keyword--based search engine.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133893503","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":"Visualization and semantic analysis of geographic metadata","authors":"Riccardo Albertoni, A. Bertone, M. D. Martino","doi":"10.1145/1096985.1096989","DOIUrl":"https://doi.org/10.1145/1096985.1096989","url":null,"abstract":"The paper presents an approach based on visualization and ontology techniques to analyze large repository of geographic metadata: the aim of the metadata analysis is to support the search for expressive geographic resources. The approach is characterized by a visual reasoning to facilitate the navigation in an unfamiliar space of geographic metadata and a semantic reasoning to support the seeker in the definition of the search criteria. In particular, the analysis of categorical attributes of metadata is considered. Techniques and concepts of information visualization, graphic interaction and ontology are analyzed and exploited: the main principle of the approach is to integrate some of these techniques and concepts to facilitate data searching activity.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130027552","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}
Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma
{"title":"Detecting geographic locations from web resources","authors":"Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma","doi":"10.1145/1096985.1096991","DOIUrl":"https://doi.org/10.1145/1096985.1096991","url":null,"abstract":"The rapid pervasion of the web into users' daily lives has put much importance on capturing location-specific information on the web, due to the fact that most human activities occur locally around where a user is located. This is especially true in the increasingly popular mobile and local search environments. Thus, how to correctly and effectively detect geographic locations from web resources has become a key challenge to location-based web applications. In our previous work, we proposed to explicitly distinguish three types of locations for web resources, namely provider location, content location and serving location. Provider location is the physical location of the provider who owns the web resource; content location is the geographic location described in the web content; while serving location is the geographic scope that a web resource can reach. In this paper, we present a system that comprehensively employs a set of algorithms and different geographic sources by extracting geographic information from the web content, and mining hyperlink structures as well as user logs. As the result, only relevant geographic sources, rather than all of possible ones are used in computation of each category of web location. Finally, experimental results on large samples of web data show that our solution outperforms previous approaches.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635473","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":"Extracting metadata for spatially-aware information retrieval on the internet","authors":"Paul D. Clough","doi":"10.1145/1096985.1096992","DOIUrl":"https://doi.org/10.1145/1096985.1096992","url":null,"abstract":"This paper presents methods used to extract geospatial information from web pages for use in SPIRIT, a new Geographic Information Retrieval (GIR) system for the web. The resulting geospatial markup tools have been used to annotate around 900,000 web pages taken from a 1TB web crawl, focused on regions in the UK, France, Germany and Switzerland. This paper discusses a versatile geo-parsing tool for extracting spatial metadata based upon the GATE Information Extraction (IE) system, and a simple geo-coding program based on default sense to assign spatial coordinates to extracted locations. A preliminary analysis of markup accuracy for geo-parsing and geo-coding is provided, and an initial statistical and geographical analysis of the SPIRIT collection presented.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121323398","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":"Challenges and resources for evaluating geographical IR","authors":"Bruno Martins, Mário J. Silva, M. Chaves","doi":"10.1145/1096985.1097001","DOIUrl":"https://doi.org/10.1145/1096985.1097001","url":null,"abstract":"This paper discusses evaluation of Geo-IR systems, arguing for a separate study of the different algorithmic components involved. It presents existing resources for evaluating the different components, together with a review on previous results in the area.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115086861","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":"Automatically identifying and georeferencing street maps on the web","authors":"Sneha Desai, Craig A. Knoblock, Yao-Yi Chiang, Kandarp Desai, Ching-Chien Chen","doi":"10.1145/1096985.1096995","DOIUrl":"https://doi.org/10.1145/1096985.1096995","url":null,"abstract":"","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133911819","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}