Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming ( IWGS ) 2010
نویسندگان
چکیده
Microsoft StreamInsight is a platform for developing and deploying streaming applications. StreamInsight embraces a temporal stream model to unify and further enrich query language features, handle imperfections in event delivery and define consistency guarantees on the output. With its extensibility framework, StreamInsight enables developers to integrate their domain expertise within the query pipeline as user defined functions, operators and aggregates. The addition of the Microsoft SQL Server Spatial Library enables StreamInsight to deliver Geostreaming support. With StreamInsight analyzing and summarizing input data, SQL Server and SQL Azure has the ability to persist these summaries in the data center or the cloud. These summaries can be used as feedback to StreamInsight for future query processing or used as the basis for historical data analysis and reporting. This framework enables organizations to seamlessly consume, use, and extend all form of stream data including geographic data.
منابع مشابه
Dittrich, Andre, Maria Vasardani, Stephan Winter, Timothy Baldwin and Fei Liu (2015) A Classifiation Schema for Fast Disambiguation of Spatial Prepositions, in Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), Seattle, USA
In the field of Artificial Intelligence the task of spatial language understanding is a particularly complex one. Textual spatial information is frequently represented by socalled locative expressions, incorporating spatial prepositions. However, apart from the spatial domain, these prepositions can occur in a wide range of senses (e.g., temporal, manner, cause, instrument) as well as in semant...
متن کاملACM SIGSPATIAL International Workshop on Computational Models of Place, COMP 2013, November 5, 2013, Orlando, Florida, USA
متن کامل
Proceedings of the 1 st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics ( DMG ) 2010 offered under the auspices of the 18 th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Polygons can serve an important role in the analysis of georeferenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering polygons that have been extracted from diffe...
متن کاملForeword for the special issue of selected papers from the 1st ACM SIGSPATIAL Workshop on Security and Privacy in GIS and LBS
The first Workshop on Security and Privacy in GIS and LBS (SPRINGL 2008) was organized on November 4, 2008 at Irvine (CA) in conjunction with the SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008). The goal of the SPRINGL workshop series is to provide a forum for researchers working in the area of geospatial data security and privacy. Both security ...
متن کاملProceedings of the 1 st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Polygons can serve an important role in the analysis of georeferenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering polygons that have been extracted from diffe...
متن کامل