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
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
logic-based techniques in data integration
Logic-based artificial intelligence
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Stepwise Construction of the Dedekind-MacNeille Completion (Research Note)
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Syntactic Combination of Uncertain Information: A Possibilistic Approach
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
Integrating Spatio-Thematic Information
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Overcoming Non-commutativity in Multi-adjoint Concept Lattices
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Multi-adjoint t-concept lattices
Information Sciences: an International Journal
Managing information fusion with formal concept analysis
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Relating attribute reduction in formal, object-oriented and property-oriented concept lattices
Computers & Mathematics with Applications
The Category of L-Chu Correspondences and the Structure of L-Bonds
Fundamenta Informaticae - Concept Lattices and Their Applications
On the classification of fuzzy-attributes in multi-adjoint concept lattices
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
| Hi-index | 0.00 |
Different observations over one and the same natural phenomenon often lead to different collections of information elements describing that phenomenon. Such collections of information elements, which we call information sources, can be heterogeneous, redundant, complementary, or even contradictory. In general, the information elements describing the phenomenon can be unified and related in a hierarchical structure, using existing methods for data integration and ontology merging. In this paper, we consider the problem of redundancy, complementarity, and consistency of information sources, under the assumption that the information elements of each source are related in a lattice structure. We propose various methods for integrating information sources and establish relationships between these methods. Applications of the framework are illustrated through examples in the areas of geographic information and battlefield target identification.