Abstract
This works presents a novel approach to generate PROV-O [3] automatically by using triples. Managing provenance manually is on greater risk of human error and tracing it, validating it and mapping is very complex and time-consuming process. So, in this work we develop a system which automatically generates OWL [4] and PROV-O [3]. In developed approach we import OWL [4] ontology built in protégé and parses this ontology by using OWL API in eclipse. Then identify the areas where provenance is needed and input the PROV-O [3] tags. Now embed PROV-O [3] tags in ontology, then verify consistency and get the PROV-O [3] output. We have effectively performed many experiments and evaluations on various Ontologies with the help of our proposed approach. Hence, in context of usability, correctness and time the results we can get are clearly show the effectiveness of our system.
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Mehmood, A., Mehmood, A., Akhtar, B. (2019). An Automatable Approach for Triples to PROV-O Mapping. 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_51
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DOI: https://doi.org/10.1007/978-981-13-6052-7_51
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