An algorithm for dynamic processing of dawg's

SCOPE: Algorithms, Information storage and retrieval. A trie is a search tree obtained by merging the common suffixes of the key set. It has the advantage that all keys as prefixes of an input string can be retrieved with high speed. When the size of the key set is enlarged, however, a problem arise...

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Veröffentlicht in:International journal of computer mathematics Jg. 54; H. 3-4; S. 155 - 173
Hauptverfasser: Park, Ki-Hong, Aoe, Jun-Ichi, Morimoto, Katsushi, Shishibori, Masami
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Gordon and Breach Science Publishers S.A 01.01.1994
Taylor and Francis
Schlagworte:
Algorithms
Applied sciences
Computer science; control theory; systems
Computing Reviews (CR) Categories
DAWG
Exact sciences and technology
F.2.2[Nonnumerical Algorithms and problems]
General aspects
General Terms
H.3.3 [Information search and Retrieval]
Information and communication sciences
Information processing and retrieval
Information retrieval. Graph
Information science. Documentation
Logical and linguistic tools
Natural language dictionary
Performance E.1 Data Structure[Graphs]
Retrieval algorithm
Sciences and techniques of general use
Theoretical computing
Trie structure
Dictionaries
Suffix inerging
Tree(graph)
Information retrieval
Natural language
Data structure
Dynamic method
Search algorithm
ISSN:0020-7160, 1029-0265
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Beschreibung
Zusammenfassung:SCOPE: Algorithms, Information storage and retrieval. A trie is a search tree obtained by merging the common suffixes of the key set. It has the advantage that all keys as prefixes of an input string can be retrieved with high speed. When the size of the key set is enlarged, however, a problem arises, as the number of transitions increases, so too does the need for a large storage capacity. This paper proposes an algorithm that dynamically constructs DAWGs (Directed Acyclic Word Graphs) for the handling of dynamic key sets. It also solves the problem of the increasing number of transitions in the trie structure. The proposed method constructs a DAWG through the local separation of common suffixes for updating a key and, after finishing updating a key, the local transition merge of common suffixes. The proposed algorithm is theoretically evaluated and the data structure for the implementation is discussed. Experimental results show that the number of transitions in the DAWG is reduced by approx. 50 to 70% compared of that of the trie, for key sets of several thousands of fifty thousand elements, also the updating of the keys can be executed in a practical time for sets of less than ten thousand keys.
ISSN:0020-7160
1029-0265
DOI:10.1080/00207169408804348