Graphical fisheye views of graphs
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Building and maintaining analysis-level class hierarchies using Galois Lattices
OOPSLA '93 Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
A Graph-Oriented Model for Articulation of Ontology Interdependencies
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
TOSCANA-Systems Based on Thesauri
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
H3: laying out large directed graphs in 3D hyperbolic space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
Ontology mapping: the state of the art
The Knowledge Engineering Review
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
What's happening in semantic web: and what FCA could have to do with it
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
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Ontologies have been created for many different subjects and by independent groups around the world. The nonexistence of a commonly accepted and used general purpose upper-ontology makes it difficult to integrate these ontologies through merge and alignment operations. The majority of the algorithms proposed so far rely on syntactic analysis, disregarding the structural properties of the source ontologies. In our previous work, we proposed an alignment method that considers the structural properties of an upper-ontology constructed using a thesaurus and Formal Concept Analysis technique (FCA). We also analyzed the FCA's lattice structure and proposed a measure of similarity based on Tversky's model, which allowed us to identify closely related concepts in different source ontologies. In this paper, we apply the alignment method to ontologies developed for a completely different domain, and enhance the solution by providing a navigational aid for the lattice. It is well known that one of the main drawbacks of the application of FCA is that the resulting lattice soon becomes cluttered when the number of objects and attributes increases. The proposed solution is based on hyperbolic visualization and on structural elements of the lattice.