Compact Ancestry Labeling Schemes for Trees of Small Depth
Pierre Fraigniaud, Amos Korman

TL;DR
This paper introduces a new ancestry labeling scheme for trees with small depth, significantly reducing label size by leveraging the bounded depth property, which is common in XML data applications.
Contribution
The paper presents a novel ancestry labeling scheme with size log n + 2 log d + O(1) for trees of bounded depth, improving efficiency for XML search engine applications.
Findings
Achieves label size log n + 2 log d + O(1) for trees with depth d.
Provides a linear universal graph for forests with bounded depth.
Reduces label size constants for practical XML data applications.
Abstract
An {\em ancestry labeling scheme} labels the nodes of any tree in such a way that ancestry queries between any two nodes in a tree can be answered just by looking at their corresponding labels. The common measure to evaluate the quality of an ancestry labeling scheme is by its {\em label size}, that is the maximal number of bits stored in a label, taken over all -node trees. The design of ancestry labeling schemes finds applications in XML search engines. In the context of these applications, even small improvements in the label size are important. In fact, the literature about this topic is interested in the exact label size rather than just its order of magnitude. As a result, following the proposal of an original scheme of size bits, a considerable amount of work was devoted to improve the bound on the label size. The current state of the art upper bound is $\log n +…
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Taxonomy
TopicsAlgorithms and Data Compression · Data Management and Algorithms · Complexity and Algorithms in Graphs
