Dynamic Taxonomies: A Model for Large Information Bases
IEEE Transactions on Knowledge and Data Engineering
Flamenco image browser: using metadata to improve image search during architectural design
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Research Results in Dynamic Taxonomy and Faceted Search Systems
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Personalized Faceted Navigation for Multimedia Collections
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Facet folders: flexible filter hierarchies with faceted metadata
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Elastic Lists for Facet Browsing and Resource Analysis in the Enterprise
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Fuzzy Logic: A Spectrum of Theoretical & Practical Issues
Fuzzy Logic: A Spectrum of Theoretical & Practical Issues
Extending faceted navigation for RDF data
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
FASTS: FAcets structured tag space – a novel approach to organize and reuse social bookmarking tags
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
Bridging the gaps towards advanced data discovery over semi-structured data
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Journal of Web Engineering
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Faceted classification is a technique originated and refined in the library science field, that recently gained a lot of attention for creating efficient search interfaces for web databases. Faceted search requires the definition of a formal representation model, a search algorithm and a responsive user interface. This paper proposes FaSet, a representation model and search algorithm supporting the implementation of faceted search engines. FaSet relies on set theory, and strikes a good balance between expressive power and ease of implementation on web architectures. The paper presents the formal definition of the model, search and ranking algorithms, and a relational mapping of data structures and algorithms that enables its efficient implementation.