Retrieving attributes using web tables

Arlind Kopliku, Karen Pinel-Sauvagnat, Mohand Boughanem
2011 Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries - JCDL '11  
In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we rank attributes based on frequencies and a table match score. Ranking is reinforced with external evidence from Web search, DBPedia and Wikipedia. Our approach can be applied to whatever instance (e.g. Canada) to retrieve its attributes (capital, GDP). It is shown it has a much higher recall than DBPedia and Wikipedia
more » ... dia and Wikipedia and that it works better than lexico-syntactic rules for the same purpose.
doi:10.1145/1998076.1998153 dblp:conf/jcdl/KoplikuPB11 fatcat:hc54mbgjvbdr7e46oxavv6swwq