International Workshop on GeoStreaming最新文献_第2页

A novel real-time framework for extracting patterns from trajectory data streams 一种新的从轨迹数据流中提取模式的实时框架

International Workshop on GeoStreaming Pub Date : 2013-11-05 DOI: 10.1145/2534303.2534313

Hanqing Yang, L. Gruenwald, Mathilda Boulanger

{"title":"A novel real-time framework for extracting patterns from trajectory data streams","authors":"Hanqing Yang, L. Gruenwald, Mathilda Boulanger","doi":"10.1145/2534303.2534313","DOIUrl":"https://doi.org/10.1145/2534303.2534313","url":null,"abstract":"The rapid development and deployment of location-acquisition equipment such as GPS systems and GSM communication networks has made collection of spatio-temporal trajectory datasets possible and led to the demand of managing and mining patterns from trajectory datasets to discover objects' movement behavior. As trajectories are generated continuously without limitation and boundaries, they form stream data. Though there are lots of research work done on mining trajectory datasets, none of them considers trajectory data as streams. They treat trajectory data as static data and run multiple scans on the data. In this paper, we present our efforts in facilitating this demand by developing a novel stream data mining algorithm to discover spatio-temporal sequential patterns from trajectories in real time; our algorithm is the first on-line trajectory mining algorithm and only needs to scan the trajectory dataset one time. We also propose a new data structure, called trajectory stream mining tree (TSM-tree), to store and represent up-to-date trajectory patterns. We conduct experiments using real life trajectory datasets to evaluate the performance of our algorithm.","PeriodicalId":190366,"journal":{"name":"International Workshop on GeoStreaming","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130226502","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: 5

An approach to query relaxation using ontologies in a GIS-based archiving system 基于gis的归档系统中使用本体的查询松弛方法

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442969

Alexander Stenzer, B. Freitag

{"title":"An approach to query relaxation using ontologies in a GIS-based archiving system","authors":"Alexander Stenzer, B. Freitag","doi":"10.1145/2442968.2442969","DOIUrl":"https://doi.org/10.1145/2442968.2442969","url":null,"abstract":"The MonArch Digital Archiving System is a metadata repository designed for the storage, management and retrieval of digital documents and digital information in general. In contrast to conventional document management systems, the MonArch System uses semantical technologies to improve content descriptions. Furthermore, GIS functionality and navigation maps allow for the geo-referencing of documents and thus for visually locating and selecting the archived content. Together, the semantical and spatial markups allow for powerful queries that are fully adaptable to the needs of a wide variety of scenarios. In a federated network of archives each repository could benefit from the accumulated but distributed information. To capitalise on this advantage, coping with the inevitable disparities of the description schemata is one of the major challenges. Therefore, a distributed query facility must be able to bridge different schemata as well as the particular domain and purpose of each repository. In this paper an approach to query relaxation in the application domain of digital preservation of built heritage is presented. The proposed method is based on similarity which in turn can be inferred from the structural properties and a type-based classification of the descriptive metadata attached to the stored objects. The resulting approach reduces significantly the otherwise necessary manual schema integration work which tends to rely on domain experts.","PeriodicalId":190366,"journal":{"name":"International Workshop on GeoStreaming","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129326371","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

Evaluation of spatial relations in watermarked geospatial data 水印地理空间数据中空间关系的评价

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442978

Sangita Zope-Chaudhari, P. Venkatachalam

{"title":"Evaluation of spatial relations in watermarked geospatial data","authors":"Sangita Zope-Chaudhari, P. Venkatachalam","doi":"10.1145/2442968.2442978","DOIUrl":"https://doi.org/10.1145/2442968.2442978","url":null,"abstract":"Due to rapid growth of distributed network and Internet, it becomes easy for data providers and users to access, manage, and share voluminous geospatial data in digital form through geostreaming methods. The increased availability of tools and techniques to access and disseminate geospatial data has made more urgent to protect it. In recent years, there is significant research on copyright protection of geospatial vector data using digital watermarking. As geospatial data is different from digital images, image watermarking evaluation methods cannot be directly applied to watermarked geospatial data. At present, watermarking algorithms are mainly focusing on robustness evaluation and error analysis. One of the important aspects related to vector data quality i.e. topological relationship inspection is neglected. In this paper, an attempt has been made to incorporate invisible watermark in geospatial vector data using wavelet based watermarking algorithm and the resulted watermarked data has been evaluated in terms of polygon closure, topological relationship consistency and impact on visualization. The study helps to choose suitable watermark embedding strength such that the topological relationship can be preserved in addition to robustness.","PeriodicalId":190366,"journal":{"name":"International Workshop on GeoStreaming","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469279","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

Similarity measurement of moving object trajectories 运动物体轨迹的相似度测量

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442971

Hechen Liu, Markus Schneider

引用次数: 70

CudaGIS: report on the design and realization of a massive data parallel GIS on GPUs CudaGIS:基于gpu的海量数据并行GIS的设计与实现

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442981

Jianting Zhang, Simin You

引用次数: 21

A spatial decision support system for the Portuguese public transportation sector 葡萄牙公共交通部门的空间决策支持系统

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442979

Tiago Oliveira, M. Painho, R. Henriques

引用次数: 2

Streaming driving behavior data 流式驾驶行为数据

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442983

Anas Basalamah, M. Ahmad, Mohamed Elidrisi, Saleh M. Basalamah, M. Mokbel

引用次数: 3

A spatial approach to morphological feature extraction from irregularly sampled scalar fields 不规则采样标量场形态特征提取的空间方法

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442974

L. Floriani, F. Iuricich, Riccardo Fellegara, K. Weiss

{"title":"A spatial approach to morphological feature extraction from irregularly sampled scalar fields","authors":"L. Floriani, F. Iuricich, Riccardo Fellegara, K. Weiss","doi":"10.1145/2442968.2442974","DOIUrl":"https://doi.org/10.1145/2442968.2442974","url":null,"abstract":"Several algorithms have recently been introduced for morphological analysis of scalar fields (terrains, static and dynamic volume data) based on a discrete version of Morse theory. However, despite the applicability of the theory to very general discretized domains, memory constraints have limited its practical usage to scalar fields defined on regular grids, or to relatively small simplicial complexes. We propose an efficient and effective data structure for the extraction of morphological features, such as critical points and their regions of influence, based on the PR-star octree data structure [24], which uses a spatial index over the embedding space of the complex to locally reconstruct the connectivity among its cells.\u0000 We demonstrate the effectiveness and scalability of our approach over irregular simplicial meshes in 2D and in 3D with a set of streaming algorithms which extract topological features of the associated scalar field from its locally computed discrete gradient field. Specifically, we extract the critical points of the scalar field, their corresponding regions in the Morse decomposition of the field domain induced by the gradient field, and their connectivity.","PeriodicalId":190366,"journal":{"name":"International Workshop on GeoStreaming","volume":"11 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129602908","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

Trajectories for novel and detailed traffic information 新的和详细的交通信息的轨迹

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442973

Benjamin B. Krogh, O. Andersen, K. Torp

{"title":"Trajectories for novel and detailed traffic information","authors":"Benjamin B. Krogh, O. Andersen, K. Torp","doi":"10.1145/2442968.2442973","DOIUrl":"https://doi.org/10.1145/2442968.2442973","url":null,"abstract":"Trajectories based on GPS tracks have been studied for a number of years but only to a limited degree been used for analyzing and monitoring traffic. This paper shows how novel and important information about traffic can be computed from trajectories. Concretely the paper proposes to compute the central metric free-flow speed from trajectories, instead of using point-based measurements such as induction-loops. This free-flow speed is widely used to compute and monitor the congestion level. The paper argues that the actual travel-time is a more accurate metric. The paper suggests a novel approach to analyzing individual intersections that enables traffic analysts to compute queue lengths and estimated time to pass an intersection. Finally, the paper uses associative rule mining for evaluating green waves on road stretches. Such information can be used to verify that signalized intersections are correctly coordinated, and navigational device manufacturers to advice drivers in real-time on expected behavior of signalized intersections. The main conclusion is that trajectories can provide novel insight into the actual traffic situation that is not possible using existing approaches. Further, extracting this information requires no expensive changes to the road-network infrastructure, which is a problem with the technologies currently used.","PeriodicalId":190366,"journal":{"name":"International Workshop on GeoStreaming","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131141954","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

Finding homogeneous groups in trajectory streams 寻找轨迹流中的齐次群

International Workshop on GeoStreaming Pub Date : 2012-11-06 DOI: 10.1145/2442968.2442970

E. Masciari

引用次数: 8