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Generating RDFS Based Knowledge Graph from SBVR

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Intelligent Technologies and Applications (INTAP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 932))

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Abstract

This work investigates how to generate RDFS based knowledge graph from SBVR. Semantic web is developed the idea of Resource description Framework (RDF). Knowledge graph is collection of interconnected entities. We required RDF knowledge graph because we want to show the date, which represented in graph. RDF vocabulary is used to provide description of instances. RDF can be constructed by three components subject, object, and predicate in which subject and object are resources while predicate is the property which describe the relationship between these resources. In this paper we represented that how we Generate an RDFS based knowledge graph from SBVR Semantic of Business Vocabulary and Rules (SBVR) in a way that it is easy to machine process. We used SBVR Tool and described that with the help of that tool SBVR to RDF transformation is possible. In this method SBVR is our input, SBVR is a textual representation, we used SBVR rules and create triple (subject object predicate) and then generate RDF and RDFS.

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Correspondence to Bakhtawer Akhtar .

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Akhtar, B., Mehmood, A., Mehmood, A., Noor, W. (2019). Generating RDFS Based Knowledge Graph from SBVR. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_53

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  • DOI: https://doi.org/10.1007/978-981-13-6052-7_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6051-0

  • Online ISBN: 978-981-13-6052-7

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