A Hybrid Browsing Mechanism Using Conceptual Scales

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.

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