LDkit: Linked Data Object Graph Mapping Toolkit for Web Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10474623" target="_blank" >RIV/00216208:11320/23:10474623 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-47243-5_11" target="_blank" >https://doi.org/10.1007/978-3-031-47243-5_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-47243-5_11" target="_blank" >10.1007/978-3-031-47243-5_11</a>
Alternative languages
Result language
angličtina
Original language name
LDkit: Linked Data Object Graph Mapping Toolkit for Web Applications
Original language description
The adoption of Semantic Web and Linked Data technologies in web application development has been hindered by the complexity of numerous standards, such as RDF and SPARQL, as well as the challenges associated with querying data from distributed sources and a variety of interfaces. Understandably, web developers often prefer traditional solutions based on relational or document databases due to the higher level of data predictability and superior developer experience. To address these issues, we present LDkit, a novel Object Graph Mapping (OGM) framework for TypeScript designed to provide a model-based abstraction for RDF. LDkit facilitates the direct utilization of Linked Data in web applications, effectively working as the data access layer. It accomplishes this by querying and retrieving data, and transforming it into TypeScript primitives according to user defined data schemas, while ensuring end-to-end data type safety. This paper describes the design and implementation of LDkit, highlighting its ability to simplify the integration of Semantic Web technologies into web applications, while adhering to both general web standards and Linked Data specific standards. Furthermore, we discuss how LDkit framework has been designed to integrate seamlessly with popular web application technologies that developers are already familiar with. This approach promotes ease of adoption, allowing developers to harness the power of Linked Data without disrupting their current workflows. Through the provision of an efficient and intuitive toolkit, LDkit aims to enhance the web ecosystem by promoting the widespread adoption of Linked Data and Semantic Web technologies.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-47242-8
ISSN
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e-ISSN
1611-3349
Number of pages
17
Pages from-to
194-210
Publisher name
Springer
Place of publication
Berlin
Event location
Athens, Greece
Event date
Nov 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001160741700011