Abstract
Nowadays, due to the development of the internet and social media, the unstructured data is growing exponentially at a high rate. With the growth of a variety of unstructured data, comes a problem of organizing and querying this unstructured data. In this paper, we present a way of organizing the unstructured data efficiently. We call this model as Dodecahedron Data Model (DDM). DDM stores a variety of unstructured data with the help of a distributed hash map. DDM provides various operations to store and retrieves the unstructured data, and interlink related and unrelated data.
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Kalakanda, R.R.M., RaviKumar, J. (2020). Dodecahedron Model for Storage of Unstructured Data. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_46
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DOI: https://doi.org/10.1007/978-3-030-24322-7_46
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Online ISBN: 978-3-030-24322-7
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