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Entity extraction: From unstructured text to DBpedia RDF triples

Publiceringsår: 2012
Språk: Engelska
Sidor: 58-69
Publikation/Tidskrift/Serie: Proceedings of the Web of Linked Entities Workshop in conjuction with the 11th International Semantic Web Conference (ISWC 2012)
Dokumenttyp: Konferensbidrag
Förlag: CEUR


In this paper, we describe an end-to-end system that automatically extracts RDF triples describing entity relations and properties from unstructured text. This system is based on a pipeline of text processing modules that includes a semantic parser and a coreference solver. By using coreference chains, we group entity actions and properties described in different sentences and convert them

into entity triples. We applied our system to over 114,000 Wikipedia articles and we could extract more than 1,000,000 triples. Using an ontology-mapping system that we bootstrapped using existing DBpedia triples, we mapped 189,000 extracted triples onto the DBpedia namespace. These extracted entities are availableonline in the N-Triple format. 1



  • Computer Science


The Web of Linked Entities Workshop (WoLE 2012)
  • ISSN: 1613-0073

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