Linked Data Generation for the University Data From Legacy Database
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International Journal of Web & Semantic Technology (IJWesT)
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ISSN : 0975 - 9026 ( Online ) 0976- 2280 ( Print )
https://www.airccse.org/journal/ijwest/ijwest.html
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Submission Deadline : April 09, 2022
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Linked Data Generation for the University Data From Legacy Database
Authors
Arup Sarkar, Ujjal Marjit and Utpal Biswas, University of Kalyani, India
Abstract
Web was developed to share information among the users through internet as some hyperlinked documents. If someone wants to collect some data from the web he has to search and crawl through the documents to fulfil his needs. Concept of Linked Data creates a breakthrough at this stage by enabling the links within data. So, besides the web of connected documents a new web developed both for humans and machines, i.e.,
the web of connected data, simply known as Linked Data Web. Since it is a very new domain, still a very few works has been done, specially the publication of legacy data within a University domain as Linked Data.
In this paper our approach concentrates on publishing the data from our University’s databases as linked Data on the web and also ensuring the trustworthiness of the data by addition of provenance data along with. For this purpose we have introduced a framework to make all the steps towards the Linked Data publication easy for legacy databases within a university domain.
Keywords
D2R Map, Linked Data, RDF, Semantic Web & SPARQL
Source URL :
https://airccse.org/journal/ijwest/papers/2311ijwest02.pdf
Volume URL :
http://www.airccse.org/journal/ijwest/vol2.html
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