Top-k entity augmentation using consistent set covering

@inproceedings{Eberius2015TopkEA,
  title={Top-k entity augmentation using consistent set covering},
  author={Julian Eberius and Maik Thiele and Katrin Braunschweig and Wolfgang Lehner},
  booktitle={SSDBM},
  year={2015}
}
Entity augmentation is a query type in which, given a set of entities and a large corpus of possible data sources, the values of a missing attribute are to be retrieved. State of the art methods return a single result that, to cover all queried entities, is fused from a potentially large set of data sources. We argue that queries on large corpora of heterogeneous sources using information retrieval and automatic schema matching methods can not easily return a single result that the user can… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 14 CITATIONS

Towards a Hybrid Imputation Approach Using Web Tables

  • 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC)
  • 2015
VIEW 4 EXCERPTS

Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment

  • SIGMOD Conference
  • 2019
VIEW 2 EXCERPTS
CITES BACKGROUND

The Dresden Database Systems Group

  • SIGMOD Record
  • 2017
VIEW 3 EXCERPTS
CITES METHODS

DataXFormer: A robust transformation discovery system

  • 2016 IEEE 32nd International Conference on Data Engineering (ICDE)
  • 2016
VIEW 1 EXCERPT
CITES METHODS