Database Paper Browser

Back to papers

Discovering and Exploring Relations on the Web

Summary: Demo of PATTY: a system that learns semantic relations from Web text, creating a WordNet-like ontology for relations. Its typed relations enable advanced SP-O queries and semantic search over text and tables, reflecting Web data enrichment trends. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10452
Venue
VLDB
Year
2012
Pagerank
5.9987806e-05
Overall Rank
4,686 | 67.41%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,211 Natural Language Question Answering over RDF — A Graph Data Driven Approach 2014 SIGMOD 7.3743561e-05
4,963 Explaining and Querying Knowledge Graphs by Relatedness 2017 VLDB 5.7971866e-05
5,839 Exploratory Querying of Extended Knowledge Graphs 2016 VLDB 5.3044504e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,066 Probase: A Probabilistic Taxonomy for Text Understanding 2012 SIGMOD 0.0001433416
4,063 REX: Explaining Relationships between Entity Pairs 2012 VLDB 6.4825871e-05
Previous Page 1 / 1 Next

Semantically Similar Papers