Name
Abstract | ||
|---|---|---|
This paper describes a system for linking the thesaurus of the Nether- lands Institute for Sound and Vision to English WordNet and dbpedia. We used EuroWordNet, a multilingual wordnet, and Dutch Wikipedia as intermediaries for the two alignments. EuroWordNet covers most of the subject terms in the thesaurus, but the organization of the cross-lingual links makes selection of the most appropriate English target term almost impossible. Using page titles, redi- rects, disambiguation pages, and anchor text harvested from Dutch Wikipedia gives reasonable performance on subject terms and geographical terms. Many person and organization names in the thesaurus could not be located in (Dutch or English) Wikipedia. |
Year | Venue | Keywords |
|---|---|---|
2009 | OM | anchor text |
Field | DocType | Citations |
Cross lingual,Information retrieval,Computer science,Anchor text,Artificial intelligence,Natural language processing,WordNet,EuroWordNet | Conference | 1 |
PageRank | References | Authors |
0.35 | 2 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gosse Bouma | 1 | 483 | 70.88 |