Abstract
We propose a demonstration of PATTY, a system for learning semantic relationships from the Web. PATTY is a collection of relations learned automatically from text. It aims to be to patterns what WordNet is to words. The semantic types of PATTY relations enable advanced search over subject-predicate-object data. With the ongoing trends of enriching Web data (both text and tables) with entity-relationship-oriented semantic annotations, we believe a demo of the PATTY system will be of interest to the database community.
| Original language | English |
|---|---|
| Pages (from-to) | 1982-1985 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 5 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 1 Jan 2012 |
| Externally published | Yes |
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