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Efficient Browsing and Update of Complex Data Based on the Decomposition of Contexts

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Book cover Conceptual Structures: Leveraging Semantic Technologies (ICCS 2009)

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Abstract

Formal concept analysis is recognized as a good paradigm for browsing data sets. Besides browsing, update and complex data are other important aspects of information systems. To have an efficient implementation of concept-based information systems is difficult because of the diversity of complex data and the computation of conceptual structures, but essential for the scalability to real-world applications. We propose to decompose contexts into simpler and specialized components: logical context functors. We demonstrate this allows for scalable implementations, updatable ontologies, and richer navigation structures, while retaining genericity.

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Ferré, S. (2009). Efficient Browsing and Update of Complex Data Based on the Decomposition of Contexts. In: Rudolph, S., Dau, F., Kuznetsov, S.O. (eds) Conceptual Structures: Leveraging Semantic Technologies. ICCS 2009. Lecture Notes in Computer Science(), vol 5662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03079-6_13

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  • DOI: https://doi.org/10.1007/978-3-642-03079-6_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03078-9

  • Online ISBN: 978-3-642-03079-6

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