Name
Abstract | ||
|---|---|---|
•A Knowledge Graph construction approach is proposed.•The integration of entity linking systems improves the extraction performance.•The association of named entities with noun phrases preserves RDF data coherence.•Thematic roles are used to associate relation phrases with Semantic Web properties. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.07.017 | Expert Systems with Applications |
Keywords | Field | DocType |
Knowledge Graph,Semantic Web representation,Fact extraction,Relation Extraction,RDF events | Proposition,Knowledge graph,Information retrieval,Computer science,Binary relation,Semantic Web,Discourse analysis,Information extraction,Artificial intelligence,Machine learning,RDF,Semantic data model | Journal |
Volume | ISSN | Citations |
113 | 0957-4174 | 1 |
PageRank | References | Authors |
0.37 | 40 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José-Lázaro Martínez-Rodríguez | 1 | 2 | 3.11 |
| Ivan López-arévalo | 2 | 29 | 14.56 |
| Ana B. Rios-Alvarado | 3 | 28 | 6.51 |