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Using Formal Concept Analysis for Discovering Knowledge Patterns
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Amine Mohamed Rouane Hacene Huchard, Marianne Napoli, Amedeo Valtchev, Petko |
| Abstract | Design patterns are used in software engineering for guiding code design: they play the role of models to be followed for producing code of better quality. In the same way, knowledge patterns are intro- duced in knowledge engineering as ontology components that can be used as models and reused as ontology design patterns (ODPs) in ontology engineering. The representation of domain knowledge is not an easy task and this is actually the case for knowledge patterns. Accordingly, we present in this paper the use of both Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA) for designing compact concept lattices that can be re-engineered as ODPs. Starting with a simple ex- ample, it is shown how to derive conceptual and relational abstractions that can be considered as knowledge patterns, following and adapting the meta-modeling activity in software engineering. This paper aims at showing that FCA and RCA are e |
| Ending Page | 234 |
| Page Count | 12 |
| Starting Page | 223 |
| File Format | |
| Issue Number | 672 |
| Language | English |
| Publisher | University of Sevilla |
| Publisher Date | 2010-10-01 |
| Access Restriction | Open |
| Subject Keyword | Formal Concept Analysis Relational Concept Analysis Ontology Design pattern Ontology pattern info Computer Science [cs] Artificial Intelligence [cs.AI] |
| Content Type | Text |
| Resource Type | Article |