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Efficient implementation of lattice operations
Journal article   Open access   Peer reviewed

Efficient implementation of lattice operations

Hassan Aït-Kaci, Robert Boyer, Patrick Lincoln and Roger Nasr
ACM transactions on programming languages and systems, v 11(1)
Jan 1989
url
https://doi.org/10.1145/59287.59293View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Lattice operations such as greatest lower bound (GLB), least upper bound (LUB), and relative complementation (BUTNOT) are becoming more and more important in programming languages supporting object inheritance. We present a general technique for the efficient implementation of such operations based on an encoding method. The effect of the encoding is to plunge the given ordering into a boolean lattice of binary words, leading to an almost constant time complexity of the lattice operations. A first method is described based on a transitive closure approach. Then a more space-efficient method minimizing code-word length is described. Finally a powerful grouping technique called modulation is presented, which drastically reduces code space while keeping all three lattice operations highly efficient. This technique takes into account idiosyncrasies of the topology of the poset being encoded that are quite likely to occur in practice. All methods are formally justified. We see this work as an original contribution towards using semantic (vz., in this case, taxonomic) information in the engineering pragmatics of storage and retrieval of (vz., partially or quasi-ordered) information.

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Web of Science research areas
Computer Science, Software Engineering
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