Study Guide for Crowdsourcing Map Applications on Blockchain

Study Guide for Crowdsourcing Map Applications on Blockchain

Test Questions

What are the main advantages of distributed ledger systems (DLS) for data storage? Please list three types of DLS networks.

Briefly describe the two major challenges faced by traditional map data collection methods.

Explain the concept of "crowdsourcing" and explain how it applies to map data collection.

What are the advantages of blockchain-based crowdsourcing map applications compared to traditional crowdsourcing?

What role do smart contracts play in blockchain-based crowdsourcing map applications?

Please explain the role of data collectors in blockchain-based crowdsourcing map applications and give examples of tools they can use to collect data.

What are the main responsibilities of data service providers in blockchain-based crowdsourcing map applications?

What does "non-crowdsourced data" refer to? Please give examples.

How do service users obtain the map data they need in blockchain-based crowdsourcing map applications?

How does the automatic execution function of smart contracts simplify the transaction process in blockchain-based crowdsourcing map applications?

Answers

Distributed ledger systems (DLS) allow participants to store data in a secure and tamper-proof manner. The three main types of DLS networks are: public blockchain networks, private blockchain networks, and consortium blockchain networks.

The two major challenges facing traditional map data collection are: high data collection costs and untimely map data updates that are difficult to meet user needs.

Crowdsourcing refers to a procurement model for obtaining goods and services from a large number of people, usually through the Internet, social media, or smartphone applications. In terms of map data collection, users can participate by submitting data such as location information and road conditions.

Compared with traditional crowdsourcing, blockchain-based crowdsourcing map applications can improve data security, transparency, and transaction efficiency, and ensure the return of data collectors through smart contracts and enhance trust mechanisms.

Smart contracts are pre-written programs stored on the blockchain that are automatically executed when preset conditions are met. In blockchain-based crowdsourcing map applications, smart contracts can be used to define the tasks, return methods, data verification standards, etc. of data collectors to ensure that transactions are conducted fairly and transparently.

Data collectors are responsible for using various tools to collect map data and submit it to map service providers in exchange for rewards. They can use tools such as GPS devices, car dashboard cameras, mobile computing devices, drones, etc. for data collection.

Data service providers are responsible for processing map data received from map service providers, such as data verification, cleaning (including data normalization and removal of unconventional data), storage, and other operations.

"Non-crowdsourced data" refers to data that cannot be collected or is difficult to collect through crowdsourcing, such as satellite images of specific geographic areas, aerial images, and geographic information data provided by the government.

Service users can obtain the required map data by making data requests to map service providers and paying corresponding fees. Smart contracts can automate this process to ensure that transactions are completed safely and efficiently.

The automatic execution function of smart contracts can automate many manual operations in the transaction process, such as data verification, payment settlement, etc., thereby reducing manual intervention, reducing transaction costs, improving transaction efficiency, and simplifying the entire transaction process.

Paper title

Compare and contrast the advantages and disadvantages of traditional map data collection and blockchain-based crowdsourced map data collection, and explore future development trends.

Analyze the role and value of smart contracts in blockchain-based crowdsourced map applications, and explore the challenges and potential risks they face.

Discuss how blockchain-based crowdsourced map applications can ensure data quality and privacy security, and propose corresponding solutions.

Discuss the business model and profit-making methods of blockchain-based crowdsourcing map applications, and analyze their impact on the map service industry.

Choose a specific application scenario, such as transportation, urban planning, disaster relief, etc., explain how blockchain-based crowdsourcing map applications work, and analyze the social and economic benefits they bring.

Glossary

Term Definition Distributed Ledger System (DLS) A database technology that allows multiple parties to securely share and synchronize data, and blockchain is a specific implementation form of it. Blockchain A data block linked in chronological order, each data block contains multiple transaction information, and uses cryptography technology to ensure data security. Crowdsourcing A procurement model for obtaining goods and services from a large number of people, usually through the Internet, social media or mobile applications. Smart contract An automatically executed contract stored on the blockchain that automatically executes when the preset conditions are met without the intervention of a third party. Map Service Provider An enterprise that provides map services, such as Google Maps, Baidu Maps, etc. Data Collector An individual or organization responsible for collecting map data. Data Service Provider An enterprise responsible for processing and storing map data. Non-crowdsourced data Data that cannot be collected or is difficult to collect through crowdsourcing, such as satellite images, aerial images, etc. Service users are users of map services, such as individual users, corporate users, etc.