AbstractsComputer Science
Effective Instance Matching for Heterogeneous Structured Data
| Institution: | Universität Karlsruhe |
|---|---|
| Department: | |
| Year: | 2014 |
| Keywords: | Instance Matching, Blocking, Machine Learning, Semantic Web, Data Management |
| Record ID: | 1102266 |
| Full text PDF: | http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3354712 |
Abstract
One main problem towards the effective usage of structured data is instance matching, where the goal is to find instance representations referring to the same real-world thing. In this book we investigate how to effectively match Heterogeneous structured data. We evaluate our approaches against the latest baselines. The results show advances beyond the state-of-the-art.
