Research on Hybrid Blockchain Data Architecture

Research on Hybrid Blockchain Data Architecture

Ten short answer questions

Briefly describe the components of data architecture in cognitive information processing system environment. The data architecture in cognitive information processing system environment contains multiple data sources, including public data sources and private data sources, where the public sources contain public blockchain data sources and the private sources contain private blockchain data sources. In addition, it also contains a cognitive data management module, which can access information from multiple data sources, including public blockchain information and private blockchain information, and provide this information to cognitive reasoning and learning systems.

What is proposed? A data architecture for cognitive information processing system environment is proposed, characterized by utilizing public and private blockchain data sources to enhance cognitive reasoning and learning capabilities.

What is the role of cognitive computing applications ("cognitive applications") in processing dark data? Cognitive applications can extract patterns and insights from dark data sources that are currently almost completely opaque. They learn from user participation and data interactions and enhance their interpretation capabilities over time.

How do cognitive reasoning and learning systems (CILS) use environmental signals to enhance their analysis? CILS use environmental signals, such as the user's location, time, and activity, to provide them with additional context for the received curated data, transaction data, and learned knowledge.

What role do cognitive maps play in CILS operations? Cognitive maps are the product of CILS processing environmental signals, curated data, transaction data, and learned knowledge. They represent a semantic understanding of information and are used to generate cognitive insight streams.

Distinguish between "cognitive insights" and "blockchain-related cognitive insights" as used in CILS. Cognitive insights are valuable information provided by CILS, while blockchain-related cognitive insights are cognitive insights generated specifically using blockchain data, or insights provided in the form of blockchain transactions.

What are the advantages of private blockchains over public blockchains in the context of CILS? Private blockchains allow for greater control and permission management of participants. They provide enhanced security, data confidentiality, and granular control over transactions.

Explain how CILS can enhance blockchain-related cognitive insights using cognitive personas and cognitive profiles. CILS uses cognitive personas (prototypical user models that represent hypothetical user groups) and cognitive profiles (cognitive persona instances that contain personal data about a specific user) to generate personalized blockchain-related cognitive insights based on the user's context and preferences.

What is the purpose of smart contracts in the context of blockchain transactions? Smart contracts are executable codes embedded in blockchain transactions that automatically execute agreements when specific conditions are met. They facilitate reliable and transparent transactions without the need for third-party intermediaries.

What is the purpose of cognitive learning frameworks in the CILS environment? Cognitive learning frameworks enable CILS to learn from data interactions and user feedback, thereby improving their cognitive capabilities over time and generating more accurate and relevant insights.

Five argumentative paper topics

Discuss the advantages and challenges of using public and private blockchain data sources in the context of cognitive information processing systems.

Analyze the role of cognitive applications in extracting valuable insights from dark data and transforming them into actionable knowledge.

Evaluate the impact of incorporating cognitive personas and cognitive profiles into CILS on generating personalized and contextually relevant blockchain-associated cognitive insights.

Investigate the application of different cognitive learning styles and categories in CILS to enhance the ability to learn from blockchain data.

Discuss the ethical implications of integrating blockchain technology with cognitive computing, especially in terms of data privacy, security, and trust.

Glossary of key terms

Term definitions Blockchain A decentralized and distributed ledger that records transactions and is replicated and verified across a network of computers. Blockchain-associated cognitive insights Cognitive insights generated using blockchain data, or insights available in the form of blockchain transactions. Cognitive applications Cloud-based big data interpretation applications that learn from user engagement and data interactions. Cognitive computing A class of computing involving self-learning systems that use techniques such as spatial navigation, machine vision, and pattern recognition to gradually mimic the way the human brain works. Cognitive graph A form of knowledge representation that represents semantic connections between information, including entities, attributes, and relationships. The cognitive identity management module is responsible for managing the components of cognitive personas and cognitive profiles associated with CILS users. Cognitive insights Valuable information generated by CILS that is used to provide data-driven insights and recommendations. Cognitive Reasoning and Learning System (CILS) A computing system that mimics the cognitive capabilities of the human brain for reasoning, learning, and problem solving. Cognitive personas represent prototypical user models of hypothetical user groups. Cognitive profiles Instances of cognitive personas that reference personal data associated with specific users. Dark data refers to data that is not being used or analyzed, is usually unstructured or unclassified, and is difficult to interpret using traditional methods. Smart contracts are executable codes embedded in blockchain transactions that are used to automatically execute agreements when certain conditions are met.