Identifying objects using cluster and concept analysis
Proceedings of the 21st international conference on Software engineering
Towards an Ontology of software maintenance
Journal of Software Maintenance: Research and Practice
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Architectural Element Matching Using Concept Analysis
ASE '99 Proceedings of the 14th IEEE international conference on Automated software engineering
A Method to Re-Organize Legacy Systems via Concept Analysis
IWPC '01 Proceedings of the 9th International Workshop on Program Comprehension
An Approach to Detect Collaborative Conflicts for Ontology Development
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
Knowledge-Based Systems
Ontology-based concept similarity in Formal Concept Analysis
Information Sciences: an International Journal
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach
Information Systems Frontiers
Hi-index | 0.00 |
One of the most tasks of object-oriented software designers is the design of the class hierarchy and the relationships among classes. Since there are many conceptual similarities with the design of an ontology, and an ontology is semantically richer than a UML class model, it makes sense to put the emphasis on ontology design. That is, an object-oriented software designer can design an ontology by organizing object classes in a class hierarchy and creating relationships among classes. UML models can then be generated from the ontology. In this paper, we introduce the Formal Concept Analysis(FCA) as the basis for a practical and well founded methodological approach to the construction of ontology. We show a semi-automatic, graphic and interactive tool to support this approach. The purpose of this work is to provide a semi-automatic methods for the ontology developers. We describe here the basic ideas of the work and its current state.