Paper Info
Title
DataCon: Easier Data Sharing, Exploration, and Fusion with Automatic Metadata Generation.
Abstract
Data is now transforming the world. Individuals, organizations, companies and governments are rushing to build technologies that generate, manage and analyze ever-increasing amounts of data. The most valuable data applications often require fusing data from multiple sources. However, sharing data is a difficult and painful process. We propose a “DataCon” system that supports data sharing, exploration, and fusion between people using different software and different data formats. DataCons are data icons that contain structured metadata generated by Automatic Metadata Generation (AMG) algorithms. The Korean government is funding a three-year project with one million USD to develop a DataCon-based data sharing platform.
Year
Venue
Field
2016
Australasian Conference on Artificial Intelligence
Automatic summarization,Metadata,World Wide Web,Computer science,Data sharing,Sensor fusion,Software,Government
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
6
1
Name
Order
Citations
PageRank
Hwa Jong Kim1177.92