Paper Info
Title
Knowledge extraction from structured sources
Abstract
This chapter surveys knowledge extraction approaches from structured sources such as relational databases, XML and CSV. A general definition of knowledge extraction is devised that covers structured as well as unstructured sources. We summarize current progress on conversion of structured data to RDF and OWL. As an example, we provide a formalization and description of SparqlMap, which implements the relational database to RDF mapping language R2RML currently being standardized by the W3C.
Year
DOI
Venue
2012
10.1007/978-3-642-34213-4_3
SeCO Book
Keywords
Field
DocType
general definition,chapter surveys knowledge extraction,structured source,rdf mapping language,relational databases,relational database,unstructured source,current progress,structured data,knowledge extraction
XML,Relational database,Information retrieval,Computer science,Knowledge extraction,RDF Schema,Data model,RDF
Conference
Citations 
PageRank 
References 
10
0.78
9
Authors
4
Name
Order
Citations
PageRank
Jörg Unbehauen1686.85
Sebastian Hellmann22007130.09
Sören Auer35711418.56
Claus Stadler436326.65