NDLI: WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics

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WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics

Content Provider	MDPI
Author	Ait-Mlouk, Addi Vu, Xuan-Son Jiang, Lili
Copyright Year	2020
Description	Given the huge amount of heterogeneous data stored in different locations, it needs to be federated and semantically interconnected for further use. This paper introduces WINFRA, a comprehensive open-access platform for semantic web data and advanced analytics based on natural language processing (NLP) and data mining techniques (e.g., association rules, clustering, classification based on associations). The system is designed to facilitate federated data analysis, knowledge discovery, information retrieval, and new techniques to deal with semantic web and knowledge graph representation. The processing step integrates data from multiple sources virtually by creating virtual databases. Afterwards, the developed RDF Generator is built to generate RDF files for different data sources, together with SPARQL queries, to support semantic data search and knowledge graph representation. Furthermore, some application cases are provided to demonstrate how it facilitates advanced data analytics over semantic data and showcase our proposed approach toward semantic association rules.
Starting Page	2090
e-ISSN	22277390
DOI	10.3390/math8112090
Journal	Mathematics
Issue Number	11
Volume Number	8
Language	English
Publisher	MDPI
Publisher Date	2020-11-23
Access Restriction	Open
Subject Keyword	Mathematics Computation Theory and Mathematics Heterogeneous Data Federation Rdf Knowledge Graph Data Mining Natural Language Processing Association Rules
Content Type	Text
Resource Type	Article

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