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Materializing multi-relational databases from the web using taxonomic queries
2011
Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11
Recently, much attention has been given to extracting tables from Web data. In this problem, the column definitions and tuples (such as what "company" is headquartered in what "city,") are extracted from Web text, structured Web data such as lists, or results of querying the deep Web, creating the table of interest. In this paper, we examine the problem of extracting and discovering multiple tables in a given domain, generating a truly multi-relational database as output. Beyond discovering the
doi:10.1145/1935826.1935885
dblp:conf/wsdm/MichelsonMMG11
fatcat:dnbhewbuovdfvbaupxafez75dq