International Journal of Man-Machine Studies
Information retrieval through hybrid navigation of lattice representations
International Journal of Human-Computer Studies
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
TOSCANA-Systems Based on Thesauri
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
CEM - A Conceptual Email Manager
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Browsing Semi-structured Web Texts Using Formal Concept Analysis
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
A Contextual-Logic Extension of TOSCANA
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
CREAM: CREAting metadata for the Semantic Web
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: The Semantic Web: an evolution for a revolution
OntoShare: a knowledge management environment for virtual communities of practice
Proceedings of the 2nd international conference on Knowledge capture
Evolutionary document management and retrieval for specialized domains on the web
International Journal of Human-Computer Studies
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
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
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A Web-based document management and retrieval system has been developed aimed at small communities in specialized domains and based on free annotation of documents by users. In the proposed approach, the main search mechanism is based on browsing a concept lattice of Formal Concept Analysis (FCA) formulated with a set of keywords with which users annotated the documents. In this paper, we extend our search mechanism by combining the lattice-based browsing structure with conceptual scales of FCA for ontological domain attributes. Our experience with a prototype suggests that conceptual scaling helps users not only to get more specific search results, but also to search relevant documents by the interrelationship between the keywords of documents and ontological attributes.