Name
Abstract | ||
|---|---|---|
This paper is trying to answer the question how to use concepts as AREs more eciently and also howdo we match "small duck" with "small bird". The onto-matching introduced in the paper extensivelyuses lexical ontologies similar to WordNet. We work with two tasks in mind: (1) query expansion; and(2) document concept indexing. The NLP techniques that we envisage are POS-disambiguation, shallowparsing for NPs, lexical concept disambiguation. |
Year | Venue | Keywords |
|---|---|---|
1999 | NODALIDA | query expansion,indexation |
Field | DocType | Citations |
Semantic similarity,Ontology (information science),Query expansion,Closeness,Computer science,Search engine indexing,Natural language processing,Artificial intelligence,WordNet,Semantic computing,Semantic matching | Conference | 7 |
PageRank | References | Authors |
1.23 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atanas Kiryakov | 1 | 1069 | 65.80 |
| Kiril Simov | 2 | 139 | 29.75 |