Abstract
In this demonstration we will show a series of tools that support a methodology [1] for the design of complex similarity functions in the context of heterogenous XML systems.
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References
Sanz, I., Pérez, M., Berlanga, R.: Measure selection in multi-similarity XML applications. In: Third International Workshop on Flexible Database and Information System Technology (FlexDBIST-2008) (2008)
Sanz, I., Mesiti, M., Guerrini, G., Berlanga, R.: Fragment-based approximate retrieval in highly heterogeneous XML collections. Data & Knowledge Engineering 64(1), 266–293 (2008)
Fagin, R., Kumar, R., Sivakumar, D.: Comparing top-k lists. SIAM Journal on Discrete Mathematics 17(1), 134–160 (2003)
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Sanz, I., Pérez, M., Berlanga, R. (2008). Designing Similarity Measures for XML. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds) Conceptual Modeling - ER 2008. ER 2008. Lecture Notes in Computer Science, vol 5231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87877-3_38
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DOI: https://doi.org/10.1007/978-3-540-87877-3_38
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