Name
Abstract | ||
|---|---|---|
On the basis of psychological studies about similarity, we propose a model, called the fuzzy contrast model, to measure the semantic similarity between concepts expressed by OWL DL. By transforming an OWL DL concept to a set of axioms in description logic $\mathcal {S}\mathcal {H}\mathcal {O}\mathcal {I}\mathcal {N}(\mathcal {D})$, the fuzzy contrast model computes the similarity of concepts from their semantic descriptions in $\mathcal {S}\mathcal {H}\mathcal {O}\mathcal {I}\mathcal {N}(\mathcal {D})$. In order to imitate human perception of sameness and difference, fuzzy set is introduced to built intersection and set difference of feature set in our model. An iterative method is proposed to compute the similarity of concepts. Two experimental results are provided to show the effectiveness of fuzzy contrast model. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11881599_119 | FSKD |
Keywords | Field | DocType |
owl dl concept,semantic similarity,fuzzy set,description logic,human perception,fuzzy contrast model,iterative method,semantic description,owl dl,iteration method | Semantic similarity,Discrete mathematics,Similitude,Axiom,Difference set,Fuzzy logic,Description logic,Fuzzy set,Complement (set theory),Mathematics | Conference |
Volume | ISSN | ISBN |
4223 | 0302-9743 | 3-540-45916-2 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Qiu | 1 | 0 | 0.34 |
| Gang Chen | 2 | 793 | 75.07 |
| Jinxiang Dong | 3 | 311 | 65.36 |