Abstract
The problem of the search of the greatest sub-hypergraph common to two hypergraph is a combinational search problem. The algorithm of exploration of all solutions has an exponential complexity according to the size of the two hypergraphs. In this article, we present methods to minimize the necessary time for the calculation of these solutions. These methods constitute a general framework of the study of these problems and can be used in many areas such natural language, pattern recognition or organic chemistry.
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© 1998 Springer-Verlag Wien
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Demko, C. (1998). Generalization of Two Hypergraphs. Algorithm of Calculation of the Greatest Sub-Hypergraph Common to Two Hypergraphs Annotated by Semantic Information. In: Jolion, JM., Kropatsch, W.G. (eds) Graph Based Representations in Pattern Recognition. Computing Supplement, vol 12. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6487-7_1
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DOI: https://doi.org/10.1007/978-3-7091-6487-7_1
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83121-2
Online ISBN: 978-3-7091-6487-7
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