Name
Abstract | ||
|---|---|---|
The applicability of ontologies for natural language processing depends on the ability to link ontological concepts and relations to their realisations in texts. We present a general, resource-poor account to create such a linking automatically by extracting Wikipedia articles corresponding to ontology classes. We evaluate our approach in an experiment with the Music Ontology. We consider linking as a promising starting point for subsequent steps of information extraction. |
Year | Venue | Keywords |
|---|---|---|
2008 | STEP | ontology class,ontological concept,natural language processing,resource-poor account,wikipedia article,resource-poor approach,subsequent step,music ontology,information extraction |
Field | DocType | Citations |
Ontology (information science),Ontology,Process ontology,Information retrieval,Computer science,Information extraction,Artificial intelligence,Natural language processing,Upper ontology | Conference | 9 |
PageRank | References | Authors |
0.73 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nils Reiter | 1 | 37 | 7.69 |
| Matthias Hartung | 2 | 116 | 11.76 |
| Anette Frank | 3 | 32 | 4.70 |