Abstract
In this paper we study dependencies of attributes in the context of Formal Concept Analysis. These dependencies allow to define a hierarchy of attributes reflecting the importance or interest in attributes. A hierarchy of attributes is a set of attributes partially ordered with respect to their importance. It represents domain knowledge used to improve lattice-based querying and navigation. Actually, in lattice-based querying, hierarchies of attributes are used to define complex queries containing attributes with different levels of importance: more important attributes define the focus of the retrieval while less important ones define secondary information whose presence is desirable in the answers. Furthermore, the relation between attributes in a complex query represents implicit or explicit knowledge units that must be considered while computing answers. Similarly, in lattice-based navigation, the choice of moving to a particular concept rather than to another is influenced by the higher importance of the attributes in the concept intent. Hence, the design and use of a hierarchy of attributes leads to a navigation guided by domain knowledge.
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References
Belohlávek, R., Sklenar, V.: Formal Concept Analysis Constrained by Attribute-Dependency Formulas. In: Ganter, B., Godin, R. (eds.) ICFCA 2005. LNCS (LNAI), vol. 3403, pp. 176–191. Springer, Heidelberg (2005)
Carpineto, C., Romano, G.: A lattice conceptual clustering system and its application to browsing retrieval. Machine Learning 24(2), 95–122 (1996)
Carpineto, C., Romano, G.: Order-theoretical ranking. Journal of the American Society for Information Science 51(7), 587–601 (2000)
Carpineto, C., Romano, G.: Concept Data Analysis: Theory and Applications. John Wiley & Sons, Chichester (2004)
Carpineto, C., Romano, G.: Exploiting the Potential of Concept Lattices for Information Retrieval with CREDO. Journal of Universal Computer Science 10(8), 985–1013 (2004)
Carpineto, C., Romano, G.: Using Concept Lattices for Text Retrieval and Mining. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 161–179. Springer, Heidelberg (2005)
d’Aquin, M., Lieber, J., Napoli, A.: Decentralized case-based reasoning for the semantic web. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 142–155. Springer, Heidelberg (2005)
der Merwe, D.V., Obiedkov, S.A., Kourie, D.G.: AddIntent: A New Incremental Algorithm for Constructing Concept Lattices. In: Eklund, P.W. (ed.) ICFCA 2004. LNCS (LNAI), vol. 2961, pp. 372–385. Springer, Heidelberg (2004)
Ducrou, J., Vormbrock, B., Eklund, P.W.: FCA-Based Browsing and Searching of a Collection of Images. In: ICCS 2006. 14th International Conference on Conceptual Structures, Aalborg, Denmark, July 16-21, pp. 203–214 (2006)
Ferber, J., Volle, P.: Using coreference in object-oriented representations. In: 8th European Conference on Artificial Intelligence, ECAI 1988, Munich, Germany, August 1988, pp. 238–240 (1988)
Ferré, S., Ridoux, O.: Searching for objects and properties with logical concept analysis. In: Delugach, H.S., Stumme, G. (eds.) ICCS 2001. LNCS (LNAI), vol. 2120, pp. 187–201. Springer, Heidelberg (2001)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg (1999)
Godin, R., Mineau, G.W., Missaoui, R.: Méthodes de classification conceptuelle basées sur les treillis de Galois et applications. Revue d’intelligence artificielle 9(2), 105–137 (1995)
Koester, B.: Conceptual Knowledge Retrieval with FooCA: Improving Web Search Engine Results with Contexts and Concept Hierarchies. In: Perner, P. (ed.) ICDM 2006. LNCS (LNAI), vol. 4065, pp. 176–190. Springer, Heidelberg (2006)
Messai, N., Devignes, M.-D., Napoli, A., Smail-Tabbone, M.: BR-Explorer: An FCA-based algorithm for Information Retrieval. In: Fourth International Conference on Concept Lattices and their Applications - CLA 2006, Yasmine Hammamet, Tunisia, October 30 - November 1, 2006, pp. 285–290 (2006)
Messai, N., Devignes, M.-D., Napoli, A., Smal-Tabbone, M.: Querying a bioinformatic data sources registry with concept lattices. In: 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 18-22, pp. 323–336 (2005)
Mimouni, N., Slimani, Y.: Indexing and Searching Video Sequences Using Concept Lattices. In: Fourth International Conference on Concept Lattices and their Applications - CLA 2006, Yasmine Hammamet, Tunisia, October 30 - November 1 2006, pp. 285–290 (2006)
Priss, U.: A Graphical Interface for Document Retrieval Based on Formal Concept Analysis. In: 8th Midwest Artificial Intelligence and Cognitive Science Conference, Dayton, Ohio, USA, pp. 66–70 (1997)
Priss, U.: Lattice-based Information Retrieval. Knowledge Organization 27(3), 132–142 (2000)
Ribière, M., Dieng-Kuntz, R.: A Viewpoint Model for Cooperative Building of an Ontology. In: Priss, U., Corbett, D., Angelova, G. (eds.) ICCS. LNCS, vol. 2393, pp. 220–234. Springer, Heidelberg (2002)
Smaïl-Tabbone, M., Osman, S., Messai, N., Napoli, A., Devignes, M.-D.: BioRegistry: A Structured Metadata Repository for Bioinformatic Databases. In: Computational Life Sciences, First International Symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005, pp. 46–56 (2005)
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Messai, N., Devignes, MD., Napoli, A., Smaïl-Tabbone, M. (2008). Extending Attribute Dependencies for Lattice-Based Querying and Navigation. In: Eklund, P., Haemmerlé, O. (eds) Conceptual Structures: Knowledge Visualization and Reasoning. ICCS 2008. Lecture Notes in Computer Science(), vol 5113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70596-3_13
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DOI: https://doi.org/10.1007/978-3-540-70596-3_13
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