The Quadtree and Related Hierarchical Data Structures
ACM Computing Surveys (CSUR)
Database Management Systems
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Making database systems usable
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Google fusion tables: web-centered data management and collaboration
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Google fusion tables: web-centered data management and collaboration
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Search computing
Schema-as-you-go: on probabilistic tagging and querying of wide tables
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Building Mashups by Demonstration
ACM Transactions on the Web (TWEB)
ITEM: extract and integrate entities from tabular data to RDF knowledge base
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
An ontology-based method for duplicate detection in web data tables
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Exploiting semantics of web services for geospatial data fusion
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies
How to price shared optimizations in the cloud
Proceedings of the VLDB Endowment
Dynamic workload driven data integration in tableau
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Addressing the long tail in empirical research data management
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Extracting information from google fusion tables
Search Computing
Visual analytics for open government data
Proceedings of the 14th Annual International Conference on Digital Government Research
Towards generic framework for tabular data extraction and management in documents
Proceedings of the sixth workshop on Ph.D. students in information and knowledge management
Comparing SSD-placement strategies to scale a database-in-the-cloud
Proceedings of the 4th annual Symposium on Cloud Computing
Hi-index | 0.00 |
Google Fusion Tables is a cloud-based service for data management and integration. Fusion Tables enables users to upload tabular data files (spreadsheets, CSV, KML), currently of up to 100MB. The system provides several ways of visualizing the data (e.g., charts, maps, and timelines) and the ability to filter and aggregate the data. It supports the integration of data from multiple sources by performing joins across tables that may belong to different users. Users can keep the data private, share it with a select set of collaborators, or make it public and thus crawlable by search engines. The discussion feature of Fusion Tables allows collaborators to conduct detailed discussions of the data at the level of tables and individual rows, columns, and cells. This paper describes the inner workings of Fusion Tables, including the storage of data in the system and the tight integration with the Google Maps infrastructure.