Abstract
The flexibility of an indexing approach plays an important role for its applicability, especially for logic-based similarity search. A flexible approach allows the use of the same precomputed index structure even if query elements like weights, operators, monotonicity or used features of the aggregation function change in the search process (e.g., when using relevance feedback). While stateof- the-art approaches typically fulfill some of the needed flexibility requirements, none provides all of them. Consequently, this paper present FlexiDex , an efficient indexing approach for logic-based similarity search that is more flexible and also more efficient than known techniques.
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Zierenberg, M., Bertram, M. (2013). FlexiDex: Flexible Indexing for Similarity Search with Logic-Based Query Models. In: Catania, B., Guerrini, G., Pokorný, J. (eds) Advances in Databases and Information Systems. ADBIS 2013. Lecture Notes in Computer Science, vol 8133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40683-6_21
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DOI: https://doi.org/10.1007/978-3-642-40683-6_21
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