Title :
Automated educated guessing
Author :
Stupar, A. ; Michel, Stefan
Author_Institution :
Saarland Univ., Saarbrucken, Germany
Abstract :
We describe the vision of a system that performs “educated guessing” to answer ad hoc information needs in case of missing or undisclosed information. The guessing procedure is based on discovered common patterns, obtained from structured and semi-structured data, guided by the specific information need.
Keywords :
data mining; data structures; information needs; information retrieval; pattern recognition; ad hoc information needs; automated educated guessing; common pattern discovery; guessing procedure; missing information; semistructured data; undisclosed information; Buildings; Cognition; Companies; Context; Databases; Knowledge based systems; Washing machines;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-5303-8
Electronic_ISBN :
978-1-4673-5302-1
DOI :
10.1109/ICDEW.2013.6547417
