Paper Info
Title
Discovering semantic relations from the web and organizing them with PATTY
Abstract
PATTY is a system for automatically distilling relational patterns from the Web, for example, the pattern "X covered Y" between a singer and someone else's song. We have extracted a large collection of such patterns and organized them in a taxonomic manner, similar in style to the WordNet thesaurus but capturing relations (binary predicates) instead of concepts and classes (unary predicates). The patterns are organized by semantic types and synonyms, and they form a hierarchy based on subsumptions. For example, "X covered Y" is subsumed by "X sang Y", which in turn is subsumed by "X performed Y" (where X can be any musician, not just a singer). In this paper we give an overview of the PATTY system and the resulting collections of relational patterns. We discuss the four main components of PATTY's architecture and a variety of use cases, including the paraphrasing of relations, and semantic search over subjectpredicate- object triples. This kind of search can handle entities, relations, semantic types, noun phrases, and relational phrases.
Year
DOI
Venue
2013
10.1145/2503792.2503799
SIGMOD Record
Keywords
Field
DocType
semantic type,patty system,relational pattern,relational phrase,binary predicate,main component,large collection,noun phrase,wordnet thesaurus,semantic relation,semantic search
Use case,Computer science,Artificial intelligence,Natural language processing,Hierarchy,WordNet,Semantic similarity,Noun phrase,World Wide Web,Semantic search,Unary operation,Information retrieval,Predicate (grammar),Database
Journal
Volume
Issue
ISSN
42
2
0163-5808
Citations 
PageRank 
References 
8
0.44
16
Authors
3
Name
Order
Citations
PageRank
Ndapandula Nakashole139419.48
Gerhard Weikum2127102146.01
Fabian M. Suchanek33900188.75