Abstract | ||
---|---|---|
We introduce a novel approach to measuring semantic relatedness of terms based on an automatically generated, large-scale semantic network. We present promising first results that indicate potential competitiveness with approaches based on manually created resources. |
Year | Venue | Keywords |
---|---|---|
2011 | IWCS | potential competitiveness,novel approach,large-scale semantic network,semantic relatedness |
Field | DocType | Citations |
Semantic similarity,Semantic technology,Information retrieval,Computer science,Semantic analytics,Semantic network,Semantic grid,Artificial intelligence,Natural language processing,Semantic computing,Semantic compression | Conference | 3 |
PageRank | References | Authors |
0.38 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pia-Ramona Wojtinnek | 1 | 12 | 1.79 |
Stephen Pulman | 2 | 450 | 38.31 |