48 lines
2.8 KiB
Markdown
48 lines
2.8 KiB
Markdown
file:: [MODELS23-DS_paper_19_1690904555411_0.pdf](../assets/MODELS23-DS_paper_19_1690904555411_0.pdf)
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file-path:: ../assets/MODELS23-DS_paper_19_1690904555411_0.pdf
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- , a wider adoption of NoSQL has been hindered by a few challenge
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ls-type:: annotation
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hl-page:: 1
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hl-color:: green
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id:: 64dc9771-a97b-46bb-9168-39b3a33c3d14
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- he heterogeneous nature of NoSQL databases creates a complex and diverse landscape of query languages and interfaces requiring extensive and wideranging expertise
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ls-type:: annotation
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hl-page:: 1
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hl-color:: green
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id:: 64dc97d4-1f88-4465-b725-736797bc26c1
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- I propose an approach integrating artificial intelligence techniques in NoSQL life cycles, namely: data modeling, querying and quality assessment.
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ls-type:: annotation
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hl-page:: 1
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hl-color:: green
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id:: 64dc9a52-e67e-4b46-9a3f-4fbfe0eb1fed
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- uniform design methodology for NoSQL databases, an intelligent bi-directional mapping between higher and lower level NoSQL schema representations, the generation of logical and physical NoSQL data models from requirements specified in natural language, intelligent and bi-directional generation of a NoSQL query from a prompt expressed in natural language, and a multi-stakeholder NoSQL databaseagnostic quality characterization framework
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ls-type:: annotation
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hl-page:: 1
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hl-color:: green
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id:: 64dc9a73-5ef4-4b30-94fe-362033dd9978
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- NoSQL databases are generally categorized into Document, Key-Value, Column-Family and Graph databases
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ls-type:: annotation
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hl-page:: 1
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hl-color:: green
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id:: 64dcd5e2-e677-4636-919c-b0b464b8935c
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- hinder their interoperability, and require major adjustments in order to operate them in conjunction with each other, whether in the context of polyglot persistence, multimodel databases or in other real-world applications.
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ls-type:: annotation
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hl-page:: 1
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hl-color:: green
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id:: 64dcddbc-448a-463f-8ac2-f27cf72ec8b7
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- To that end, my work proposes an approach incorporating artificial intelligence techniques to construct a fully integrated system for NoSQL data modeling, querying and quality characterization life cycle. This objective would have a substantial impact on the democratization of NoSQL database use.
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ls-type:: annotation
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hl-page:: 2
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hl-color:: yellow
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id:: 64dcddda-22ce-4091-b775-0261ed1ea9ed
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- ow can Artificial Intelligence techniques be leveraged for the unification and mapping of NoSQL data models in all representation levels?
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ls-type:: annotation
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hl-page:: 2
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hl-color:: green
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id:: 64dd51c2-8c3e-463c-bed6-9afd08b0fa84
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- ow can Artificial Intelligence be leveraged for the conceptualization of a lingua franca for NoSQL query languages and for the inclusion of natural language querying for NoSQL?
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ls-type:: annotation
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hl-page:: 2
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hl-color:: green
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id:: 64dd51ce-ad30-44e9-9812-2593425edab4 |