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pro vyhledávání: '"RDF data"'
Autor:
Wisnesky, Ryan, Filonik, Daniel
In this paper we define a new algorithm to convert an input relational database to an output set of RDF triples. The algorithm can be used to e.g. load CSV data into a financial OWL ontology such as FIBO. The algorithm takes as input a set of relatio
Externí odkaz:
http://arxiv.org/abs/2403.01630
Autor:
Darari, Fariz
The increasing amount of structured data available on the Web is laying the foundations for a global-scale knowledge base. But the ever increasing amount of Semantic Web data gives rise to the question – how complete is that data? Though data on th
The paper introduces a tool prototype that combines SHACL's capabilities with ad-hoc validation functions to create a controlled and user-friendly form interface for producing valid RDF data. The proposed tool is developed within the context of the O
Externí odkaz:
http://arxiv.org/abs/2307.01718
Autor:
Ma, Zongmin1,2 (AUTHOR) zongminma@nuaa.edu.cn, Zhang, Xiaowen1 (AUTHOR), Zhao, Yuhan1 (AUTHOR)
Publikováno v:
Journal of Supercomputing. Sep2023, Vol. 79 Issue 13, p14780-14807. 28p.
Akademický článek
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Autor:
Minami, Yota, Kaneiwa, Ken
The Resource Description Framework (RDF) is a framework for describing metadata, such as attributes and relationships of resources on the Web. Machine learning tasks for RDF graphs adopt three methods: (i) support vector machines (SVMs) with RDF grap
Externí odkaz:
http://arxiv.org/abs/2201.01996