Abstract | ||
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In this paper, we propose the Normalized Freebase Distance (NFD), a new measure for determing semantic concept relatedness that is based on similar principles as the Normalized Web Distance (NWD). We illustrate that the NFD is more effective when comparing ambiguous concepts. |
Year | DOI | Venue |
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2014 | 10.1007/978-3-319-11955-7_22 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Data mining,Distance measurement,Normalization (statistics),Pattern recognition,Computer science,Artificial intelligence | Conference | 8798 |
ISSN | Citations | PageRank |
0302-9743 | 3 | 0.41 |
References | Authors | |
8 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fréderic Godin | 1 | 102 | 10.62 |
Tom de Nies | 2 | 127 | 17.70 |
Christian Beecks | 3 | 431 | 39.14 |
Laurens De Vocht | 4 | 171 | 22.13 |
Wesley De Neve | 5 | 525 | 54.41 |
Erik Mannens | 6 | 671 | 99.58 |
Thomas Seidl | 7 | 3515 | 544.45 |
Rik Van de Walle | 8 | 2040 | 238.28 |