Linked data through the lens of machine learning: an Enterprise view
R. Sapna, H.G. Monikarani, Shakti Mishra · 2019
Enterprises have adopted semantic Web technologies for data reuse and sharing purposes and machine learning techniques for data analysis. Semantic Web is a generative technology which aims to build a giant global dataspace on the Web by interlinking diverse data sources available on the Web. Machine learning is a field of computational science that includes several generative algorithms that adaptively learn and make data-driven predictions. However, their confluence presents significant challenges from an enterprise context - that has not been effectively addressed. To solve the challenges, linked data can be chosen as the best practice for data representation while machine learning as a paradigm for data analysis. The paper proposes a conceptual model that confluences machine learning and linked data approaches, specifically to cater to enterprise needs. The conceptual model is applicable across varied enterprises viz., education, banking, government and medical, to name a few.