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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yinghui Huang Guanyu Li Xijin Sun |
| Copyright Year | 2011 |
| Description | Author affiliation: Faculty of Information Science and Technology, Dalian Maritime University, Dalian, China (Yinghui Huang; Guanyu Li; Xijin Sun) |
| Abstract | Rough ontology is based on combination of the rough set theory and the ontology theory. It is an extension of ontology and is also an application of the rough set theory in ontology. So that the same as the structure of an ontology, the structure of a rough ontology is a tree; while a rough concept lattice can be transformed into a tree by some clustering techniques. For this reason, a method of generating a rough ontology is proposed: firstly constructing a rough concept lattice from a rough formal context, secondly transforming the rough concept lattice into a rough concept tree by clustering, thirdly mapping the rough concept tree to a rough ontology. Combined with a specific example, the detailed process of generating a rough ontology is illustrated. |
| Starting Page | 4104 |
| Ending Page | 4107 |
| File Size | 253870 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612844589 |
| e-ISBN | 9781612844596 |
| DOI | 10.1109/CECNET.2011.5768945 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Rough concept tree Heuristic algorithms Ontology Rough ontology Lattices Clustering algorithms Rough concept lattice Ontologies Set theory Approximation methods Hierarchical clustering |
| Content Type | Text |
| Resource Type | Article |
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