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ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems最新文献

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Redd+
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2015-12-31 DOI: 10.1007/978-3-319-17885-1_101077
Jutta Kill
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引用次数: 3
Real-Time Location Services 实时定位服务
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2014-03-04 DOI: 10.1007/978-3-319-17885-1_101071
A. Youssef, Douglas, J. Linton, Bob Zemke, A. Earle
{"title":"Real-Time Location Services","authors":"A. Youssef, Douglas, J. Linton, Bob Zemke, A. Earle","doi":"10.1007/978-3-319-17885-1_101071","DOIUrl":"https://doi.org/10.1007/978-3-319-17885-1_101071","url":null,"abstract":"","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129355506","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
Mobile Recommender Systems in Tourism 旅游中的移动推荐系统
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2014-03-01 DOI: 10.1007/978-3-319-17885-1_100781
GavalasDamianos, KonstantopoulosCharalampos, MastakasKonstantinos, PantziouGrammati
{"title":"Mobile Recommender Systems in Tourism","authors":"GavalasDamianos, KonstantopoulosCharalampos, MastakasKonstantinos, PantziouGrammati","doi":"10.1007/978-3-319-17885-1_100781","DOIUrl":"https://doi.org/10.1007/978-3-319-17885-1_100781","url":null,"abstract":"","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129970000","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
3D Models 三维模型
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2014-01-14 DOI: 10.1007/978-0-387-35973-1_3
Géraldine Morin
{"title":"3D Models","authors":"Géraldine Morin","doi":"10.1007/978-0-387-35973-1_3","DOIUrl":"https://doi.org/10.1007/978-0-387-35973-1_3","url":null,"abstract":"","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121652761","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
Hierarchies 层次结构
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2013-11-27 DOI: 10.1007/978-0-387-35973-1_565
Friedhelm Meyer auf der Heide, Kamil Swierkot
{"title":"Hierarchies","authors":"Friedhelm Meyer auf der Heide, Kamil Swierkot","doi":"10.1007/978-0-387-35973-1_565","DOIUrl":"https://doi.org/10.1007/978-0-387-35973-1_565","url":null,"abstract":"","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131044133","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: 39
Nearest Neighbor Search 最近邻搜索
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2013-01-10 DOI: 10.1007/978-3-319-17885-1_100844
Edo Liberty
{"title":"Nearest Neighbor Search","authors":"Edo Liberty","doi":"10.1007/978-3-319-17885-1_100844","DOIUrl":"https://doi.org/10.1007/978-3-319-17885-1_100844","url":null,"abstract":"","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114627243","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
Keyword search in geospatial database 地理空间数据库中的关键字搜索
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2010-11-02 DOI: 10.1145/1869790.1869886
Kavita V. V. Ganeshan, N. L. Sarda, Sanchit Gupta
{"title":"Keyword search in geospatial database","authors":"Kavita V. V. Ganeshan, N. L. Sarda, Sanchit Gupta","doi":"10.1145/1869790.1869886","DOIUrl":"https://doi.org/10.1145/1869790.1869886","url":null,"abstract":"Geospatial databases usually contain features of different geometries, associated with thematic attributes. The features have implicit spatial relationships which are not explicitly captured (unless the relationships have their own attributes, which is rare), and hence geospatial databases contain a few or no foreign keys. As geospatial data becomes more widely available and used by people, their keyword based querying will become an important interface. Keyword queries in geospatial data may be related to features and their attributes, or with multiple features, their spatial relationships, and their attributes. The keywords may refer to feature types as well as feature instances (e.g., \"India capital\" - here, capital is really a schema level data, i.e., metadata). We must note that keyword queries are not natural language queries. They just contain keywords that the user thinks characterize their expected result. Consequently, analyzing and disambiguating the keyword queries is important before answering them. Spatial relationships to be taken into account may have to be based and ranked on nearest-neighborhood. Finally, the query results need to be shown both textually as well as visually on a map. These requirements make keyword searching in geospatial data quite different from normal data. This paper describes our approach to supporting keyword queries. We describe query interpretation, query translation into one or more SQL queries, and query execution and result ranking. We describe how geo-spatial ontologies can be used in understanding implicit relationships between query objects, and how R-tree based indexes can be effectively used for result ranking based on spatial relationships.","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"46 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117063729","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
Efficient indexing structure for scalable processing of spatial alarms 空间报警可扩展处理的高效索引结构
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2010-11-02 DOI: 10.1145/1869790.1869853
Myungcheol Doo, Ling Liu, N. Narasimhan, V. Vasudevan
{"title":"Efficient indexing structure for scalable processing of spatial alarms","authors":"Myungcheol Doo, Ling Liu, N. Narasimhan, V. Vasudevan","doi":"10.1145/1869790.1869853","DOIUrl":"https://doi.org/10.1145/1869790.1869853","url":null,"abstract":"We present the design and implementation of a new indexing technique, Mondrian tree. The Mondrian tree indexing method partitions the entire universe of discourse into spatial alarm monitoring regions and alarm-free regions. This enables us to reduce the number of on-demand alarm-free region computations, significant savings of both server load and client-to-server communication cost. We evaluate the efficiency of the Mondrian tree indexing approach and show that the Mondrian tree offers significant performance enhancements on spatial alarm processing at both the server side and the client side.","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080030","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
sTrack: tracking in indoor symbolic space with RFID sensors sTrack:利用RFID传感器在室内符号空间进行跟踪
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2010-11-02 DOI: 10.1145/1869790.1869872
Hye-Young Kang, Joon-Seok Kim, Ki-Joune Li
{"title":"sTrack: tracking in indoor symbolic space with RFID sensors","authors":"Hye-Young Kang, Joon-Seok Kim, Ki-Joune Li","doi":"10.1145/1869790.1869872","DOIUrl":"https://doi.org/10.1145/1869790.1869872","url":null,"abstract":"Spatial information services in indoor space are an important application area of GIS as in outdoor space. In this paper, we propose a framework for tracking moving objects in indoor symbolic space with RFID sensors. First, we introduce the concepts of indoor symbolic space and tracking in indoor symbolic space, and define the accessibility graph for trackable indoor symbolic space. Second, we propose a deployment method of RFID readers and a construction algorithm of accessibility graph for trackable indoor symbolic space and a tracking method in indoor space with RFID sensors. Finally, we present an implementation example and the result of experiment with real data to validate the proposed method.","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114279524","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
Real-time spatio-temporal analytics using Microsoft StreamInsight 使用微软StreamInsight进行实时时空分析
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems Pub Date : 2010-11-02 DOI: 10.1145/1869790.1869888
Mohamed H. Ali, B. Chandramouli, B. S. Raman, E. Katibah
{"title":"Real-time spatio-temporal analytics using Microsoft StreamInsight","authors":"Mohamed H. Ali, B. Chandramouli, B. S. Raman, E. Katibah","doi":"10.1145/1869790.1869888","DOIUrl":"https://doi.org/10.1145/1869790.1869888","url":null,"abstract":"Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications that run continuous queries over high-rate streaming events. StreamInsight adopts a temporal stream model to handle imperfections in event delivery and define consistency guarantees on the output. This demo highlights the ability of StreamInsight to monitor, analyze and correlate spatio-temporal stream data that is generated by moving objects. The demo scenario is based on the Microsoft Shuttle Service where GPS readings are generated and streamed by shuttles as they move around the Microsoft main campus in Redmond, WA. The demo presents a set of relational continuous queries as well as various real-time analytics that help improve the efficiency of the shuttle service in terms of the average wait time per passenger and the average daily mileage per shuttle.","PeriodicalId":359068,"journal":{"name":"ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114301528","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
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