Formal Concept Analysis and Information Retrieval – A Survey

Conference object English OPEN
Codocedo , Victor; Napoli , Amedeo;
(2015)
  • Publisher: Springer
  • Related identifiers: doi: 10.1007/978-3-319-19545-2_4
  • Subject: [ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT] | [ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR] | information retrieval | survey | [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI] | formal concept analysis

International audience; One of the first models to be proposed as a document index for retrieval purposes was a lattice structure, decades before the introduction of Formal Concept Analysis. Nevertheless, the main notions that we consider so familiar within the communit... View more
  • References (70)
    70 references, page 1 of 7

    1. R. Al-Msie'Deen, A. Seriai, M. Huchard, C. Urtado, S. Vauttier, and H. Eyal Salman. Mining Features from the Object-Oriented Source Code of a Collection of Software Variants Using Formal Concept Analysis and Latent Semantic Indexing. In The 25th International Conference on Software Engineering and Knowledge Engineering, page 8, E´tats-Unis, 2013. Knowledge Systems Institute Graduate School.

    2. M. Alam and A. Napoli. Defining Views with Formal Concept Analysis for Understanding SPARQL Query Results. In Proceedings of the 2014 International Conference on Concept Lattices and their Applications, 2014.

    3. R. A. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Boston, MA, USA, 1999.

    4. M. Barbut and B. Monjardet. Ordre et classification : algebre et combinatoire. 1970.

    5. F. Bosman, R. Bouwman, and P. Bruza. The Effectiveness of Navigable Information Disclosure Systems. In Proceedings of the Informatiewetenschap, 1991.

    6. C. Carpineto, S. Mizzaro, G. Romano, and M. Snidero. Mobile information retrieval with search results clustering: Prototypes and evaluations. Journal of the American Society for Information Science and Technology, 60(5), 2009.

    7. C. Carpineto and G. Romano. Galois : An order-theoretic approach to conceptual clustering. Proceedings of the 10th International Conference on Machine Learning (ICML'90), 1993.

    8. C. Carpineto and G. Romano. A lattice conceptual clustering system and its application to browsing retrieval. Machine Learning, 24(2), Aug. 1996.

    9. C. Carpineto and G. Romano. Information retrieval through hybrid navigation of lattice representations. International Journal of Human-Computer Studies, 45(5), 1996.

    10. C. Carpineto and G. Romano. Effective reformulation of Boolean queries with concept lattices. In Flexible Query Answering Systems, volume 1495 of Lecture Notes in Computer Science. 1998.

  • Metrics
Share - Bookmark