Abstract

We describe Deimos, a system that automatically discovers and models new sources of information.The system exploits four core technologies developed by our group that makes an end-to-end solution to this problem possible. First, given an example source, Deimos finds other similar sources online. Second, it invokes and extracts data from these sources. Third, given the syntactic structure of a source, Deimos maps its inputs and outputs to semantic types. Finally, it infers the source's semantic definition, i.e., the function that maps the inputs to the outputs. Deimos is able to successfully automate these steps by exploiting a combination of background knowledge and data semantics. We describe the challenges in integrating separate components into a unified approach to discovering, extracting and modeling new online sources. We provide an end-to-end validation of the system in two information domains to …

Metadata

publication

2008 IEEE International Conference on Data Mining Workshops, 771-779, 2008

year

2008

publication date

2008/12/15

authors

José Luis Ambite, Craig A Knoblock, Kristina Lerman, Anon Plangprasopchok, Thomas Russ, Cenk Gazen, Steven Minton, Mark Carman

link

https://ieeexplore.ieee.org/abstract/document/4734005/

resource_link

https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=2c7ba6aeb0de1a867d304e1bcb38cdeb4e157a69

conference

2008 IEEE International Conference on Data Mining Workshops

pages

771-779

publisher

IEEE