Name
Abstract | ||
|---|---|---|
Ontologies become more and more big, which is an important factor of low-efficient reasoning. In this paper, we propose an ontology segmentation method for alleviating the inference burden. The method is based on ontologies described by OWL DL. Unlike the traditional method, the optimized method will "chip off" a part of knowledge from the big ontology according to user's query and only uses this knowledge for reasoning. We implemented the algorithms by ontology editor and explain it is very useful in practice. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72575-6_59 | ADVANCES IN INTELLIGENT WEB MASTERING |
Keywords | Field | DocType |
chip | Ontology (information science),Ontology,Data mining,Information retrieval,Computer science,Inference,Segmentation,Ontology editor | Conference |
Volume | ISSN | Citations |
43 | 1615-3871 | 2 |
PageRank | References | Authors |
0.37 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youwei Xu | 1 | 16 | 5.26 |
| Shengqun Tang | 2 | 28 | 5.46 |
| Yang Xu | 3 | 6 | 2.91 |
| Ruliang Xiao | 4 | 28 | 8.42 |
| Lina Fang | 5 | 27 | 3.40 |
| Ling Li | 6 | 9 | 1.86 |