Conversion between semantic data models: the story so far, and the road ahead

Dubey, Shripriya; Patel, Archana; Jain, Sarika

doi:10.1016/b978-0-12-822468-7.00006-7

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Structuring Semi-structured Data1

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2022

2023

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Cited by 3 publications

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“…The problem of converting hierarchical or tree-based data models (such as JSON and XML) to graph-based data models has existed for more than a decade. Various solutions have been proposed [13][14][15][16] that can be classified into two categories: ontologydependent RDF transformation and fixed RDF transformation.…”

Section: Structuring Semi-structured Datamentioning

confidence: 99%

LinkD: element-based data interlinking of RDF datasets in linked data

Kettouch

Luca

2022

Computing

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One of the main obstacles in publishing in a Linked Data way is to connect the dataset being published externally with related data sources in the cloud, known as Data Interlinking. This paper proposes LinkD, a new element-based interlinking approach. LinkD interlinks an RDF dataset, resulted from transformed semi-structured data, with its counterparts in the web of Linked Data. To provide similarity links, the existence of published data in the Linked Data cloud is done in the first place. Different algorithms for similarity measurement are employed while the domain of the dataset being interlinked is taken into account. The techniques utilised allow the processing of a large number of Linked Data datasets. The evaluation of LinkD shows high precision, recall and performance.

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Section: Structuring Semi-structured Datamentioning

confidence: 99%