Matching and Rewriting Rules in Object-Oriented Databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A9SUWMLJ3" target="_blank" >RIV/00216208:11320/25:9SUWMLJ3 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203625463&doi=10.3390%2fmath12172677&partnerID=40&md5=b03f2355cadad16fa1b6e8799c111c90" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203625463&doi=10.3390%2fmath12172677&partnerID=40&md5=b03f2355cadad16fa1b6e8799c111c90</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/math12172677" target="_blank" >10.3390/math12172677</a>
Alternative languages
Result language
angličtina
Original language name
Matching and Rewriting Rules in Object-Oriented Databases
Original language description
Graph query languages such as Cypher are widely adopted to match and retrieve data in a graph representation, due to their ability to retrieve and transform information. Even though the most natural way to match and transform information is through rewriting rules, those are scarcely or partially adopted in graph query languages. Their inability to do so has a major impact on the subsequent way the information is structured, as it might then appear more natural to provide major constraints over the data representation to fix the way the information should be represented. On the other hand, recent works are starting to move towards the opposite direction, as the provision of a truly general semistructured model (GSM) allows to both represent all the available data formats (Network-Based, Relational, and Semistructured) as well as support a holistic query language expressing all major queries in such languages. In this paper, we show that the usage of GSM enables the definition of a general rewriting mechanism which can be expressed in current graph query languages only at the cost of adhering the query to the specificity of the underlying data representation. We formalise the proposed query language in terms declarative graph rewriting mechanisms described as a set of production rules (Formula presented.) while both providing restriction to the characterisation of L, and extending it to support structural graph nesting operations, useful to aggregate similar information around an entry-point of interest. We further achieve our declarative requirements by determining the order in which the data should be rewritten and multiple rules should be applied while ensuring the application of such updates on the GSM database is persisted in subsequent rewriting calls. We discuss how GSM, by fully supporting index-based data representation, allows for a better physical model implementation leveraging the benefits of columnar database storage. Preliminary benchmarks show the scalability of this proposed implementation in comparison with state-of-the-art implementations. © 2024 by the authors.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematics
ISSN
2227-7390
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
17
Country of publishing house
US - UNITED STATES
Number of pages
62
Pages from-to
1-62
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85203625463