Name
Title | ||
|---|---|---|
Adaptation and Evaluation of a Semantic Similarity Measure for DBPedia: A First Experiment |
Abstract | ||
|---|---|---|
Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the similarity between pairs of movies. A correlation of 0.69 is observed between the human ratings and the results of the semantic similarity measure. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SMAP.2012.24 | SMAP |
Keywords | Field | DocType |
semantic similarity measure,first experiment,human evaluation,similarity measure,human rating,data source,semantic resource,semantic web | Semantic similarity,Semantic technology,Semantic search,Semantic Web Stack,Information retrieval,Computer science,Linked data,Semantic analytics,Semantic equivalence,Semantic computing | Conference |
Citations | PageRank | References |
4 | 0.48 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentin Groues | 1 | 9 | 1.64 |
| Yannick Naudet | 2 | 222 | 30.47 |
| Odej Kao | 3 | 1066 | 96.19 |