Entity extraction: From unstructured text to DBpedia RDF triples
(2012) The Web of Linked Entities Workshop (WoLE 2012) p.58-69- Abstract
- 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.... (More) - 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
1 http://semantica.cs.lth.se/ (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3191701
- author
- Exner, Peter LU and Nugues, Pierre LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the Web of Linked Entities Workshop in conjuction with the 11th International Semantic Web Conference (ISWC 2012)
- pages
- 58 - 69
- publisher
- CEUR-WS
- conference name
- The Web of Linked Entities Workshop (WoLE 2012)
- conference location
- Boston, United States
- conference dates
- 2012-11-11
- external identifiers
-
- scopus:84889575071
- ISSN
- 1613-0073
- language
- English
- LU publication?
- yes
- id
- 636681f3-82d6-46f2-bd70-76114b130c1a (old id 3191701)
- alternative location
- http://ceur-ws.org/Vol-906/paper7.pdf
- date added to LUP
- 2016-04-01 12:55:55
- date last changed
- 2022-03-29 04:32:47
@inproceedings{636681f3-82d6-46f2-bd70-76114b130c1a, abstract = {{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<br/><br> 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<br/><br> <br/><br> 1 http://semantica.cs.lth.se/}}, author = {{Exner, Peter and Nugues, Pierre}}, booktitle = {{Proceedings of the Web of Linked Entities Workshop in conjuction with the 11th International Semantic Web Conference (ISWC 2012)}}, issn = {{1613-0073}}, language = {{eng}}, pages = {{58--69}}, publisher = {{CEUR-WS}}, title = {{Entity extraction: From unstructured text to DBpedia RDF triples}}, url = {{https://lup.lub.lu.se/search/files/3053000/3191702.pdf}}, year = {{2012}}, }