Name
Abstract | ||
|---|---|---|
Augmented cognition on sensory data requires knowledge sources to expand the abilities of human senses. Ontologies are one of the most suitable knowledge sources, since they are designed to represent human knowledge and a number of ontologies on diverse domains can cover various objects in human life. To adopt ontologies as knowledge sources for augmented cognition, various ontologies for a single domain should be merged to prevent noisy and redundant information. This paper proposes a novel composite kernel to merge heterogeneous ontologies. The proposed kernel consists of lexical and graph kernels specialized to reflect structural and lexical information of ontology entities. In experiments, the composite kernel handles both structural and lexical information on ontologies more efficiently than other kernels designed to deal with general graph structures. The experimental results also show that the proposed kernel achieves the comparable performance with top-five systems in OAEI 2010. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24958-7_37 | ICONIP |
Keywords | Field | DocType |
augmented cognition,human life,suitable knowledge source,novel composite kernel,expanding knowledge source,proposed kernel,human knowledge,composite kernel,human sense,knowledge source,ontology alignment,lexical information | Ontology (information science),Kernel (linear algebra),Ontology alignment,Ontology,Graph,Computer science,Levenshtein distance,Augmented cognition,IDEF5,Natural language processing,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
7063 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeong-Woo Son | 1 | 67 | 10.56 |
| Seongtaek Kim | 2 | 1 | 0.37 |
| Seong-Bae Park | 3 | 311 | 47.31 |
| Yunseok Noh | 4 | 10 | 2.69 |
| Jun-Ho Go | 5 | 5 | 1.17 |