The perceived utility of standard ontologies in document management for specialized domains
International Journal of Human-Computer Studies
Concept Similarity and Related Categories in SearchSleuth
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
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 in knowledge discovery: a survey
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
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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AnnotationSleuth is software to experiment with knowledge acquisition using Formal Concept Analysis (FCA). The system extends a standard search and browsing interface to feature a conceptual neighborhood centered on a formal concept derived from curatorial tags in a museum management system. The neighborhood of a concept is decorated with upper and lower neighbors in a concept lattice. Movement through the information space is achieved by the addition and removal of attributes resulting in more general and specialized formal concepts respectively. AnnotationSleuth employs several search methods: attribute search based on a control vocabulary, query refinement and query-by-example. A number of management interfaces are included to enable content to be added and tagged, the control vocabulary to be extended or conceptual scales to be defined. AnnotationSleuth, is an extensible environment for the creation of attribute lists and conceptual scales and can subsequently be used to flexibly navigate a collection of digital objects based on any user-defined semantic theme.