Journal of the American Society for Information Science
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Searching for Objects and Properties with Logical Concept Analysis
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
A Viewpoint Model for Cooperative Building of an Ontology
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
Decentralized case-based reasoning for the semantic web
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Querying a bioinformatic data sources registry with concept lattices
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Using concept lattices for text retrieval and mining
Formal Concept Analysis
BioRegistry: a structured metadata repository for bioinformatic databases
CompLife'05 Proceedings of the First international conference on Computational Life Sciences
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
FCA-based browsing and searching of a collection of images
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Formal concept analysis constrained by attribute-dependency formulas
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
Using Domain Knowledge to Guide Lattice-based Complex Data Exploration
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Interval data and nested lattices
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Text mining scientific papers: a survey on FCA-Based information retrieval research
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
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In this paper we study dependencies of attributes in the context of Formal Concept Analysis. These dependencies allow to define a hierarchy of attributes reflecting the importance or interest in attributes. A hierarchy of attributes is a set of attributes partially ordered with respect to their importance. It represents domain knowledge used to improve lattice-based querying and navigation. Actually, in lattice-based querying, hierarchies of attributes are used to define complex queries containing attributes with different levels of importance: more important attributes define the focus of the retrieval while less important ones define secondary information whose presence is desirable in the answers. Furthermore, the relation between attributes in a complex query represents implicit or explicit knowledge units that must be considered while computing answers. Similarly, in lattice-based navigation, the choice of moving to a particular concept rather than to another is influenced by the higher importance of the attributes in the concept intent. Hence, the design and use of a hierarchy of attributes leads to a navigation guided by domain knowledge.