Formal Concept Analysis for Domain-Specific Document Retrieval Systems
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
The perceived utility of standard ontologies in document management for specialized domains
International Journal of Human-Computer Studies
FCA-based browsing and searching of a collection of images
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
Navigation and Annotation with Formal Concept Analysis
Knowledge Acquisition: Approaches, Algorithms and Applications
Cluster-based navigation for a virtual museum
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Extended Galois derivation operators for information retrieval based on fuzzy formal concept lattice
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
A survey of hybrid representations of concept lattices in conceptual knowledge processing
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
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
A new case-based classification using incremental concept lattice knowledge
Data & Knowledge Engineering
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
Shifting concepts to their associative concepts via bridges
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Formal concept analysis approach for data extraction from a limited deep web database
Journal of Intelligent Information Systems
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SearchSleuth is a program developed to experiment with the automated local analysis of Web search using formal concept analysis. SearchSleuth extends a standard search interface to include a conceptual neighborhood centered on a formal concept derived from the initial query. This neighborhood of the concept derived from the search terms is decorated with its upper and lower neighbors representing more general and specialized concepts respectively. In SearchSleuth, the notion of related categories --- which are themselves formal concepts --- is also introduced. This allows the retrieval focus to shift to a new formal concept called a sibling. This movement across the concept lattice needs to relate one formal concept to another in a principled way. This paper presents the issues concerning exploring and ordering the space of related categories.