Domain and Challenges of Big Data and Archaeological Photogrammetry With Blockchain

【Author】 Aziz, Omer; Farooq, Muhammad Shoaib; Khelifi, Adel

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】With gigantic growth of data volume that is moved across the web links today, there has been a gigantic measure of perplexing information produced. Extremely huge sets of data including universities, organizations framework, institution gas, petroleum sector, photogrammetry, healthcare, and archaeology, that have so enormous thus complex information with more differed structure. The major challenge is how to handle this significant volume of data, also in archaeological photogrammetry which alluded to as Big Data. Although big data has to be securely flying and conveyed through the internet. It cannot be controlled with regular conventional methods that fail to handle it, so there is a need for more up-to-date developed tools. The big data have frequently divided into V's characteristics beginning from three V's: volume, velocity and variety. The initial three V's have been stretched out during time through researches to arrive 56 V's till now. Among them are three newfound by the author that implies it multiplied near twenty times. Researcher had to dive to search for all of these characteristics in many researches to detect and build comparisons to answer the old, current, and restored essential inquiry, "how many V's aspects (characteristics) in big data with archaeological photogrammetry and blockchain." This paper provides a comprehensive overview of all secured big data V's (characteristics) as well as their strength and limitations with archaeological photogrammetry and blockchain.

【Keywords】Big Data; Blockchains; Social networking (online); Memory; Data analysis; Uncertainty; Open Source Software; Archeology; Big data (BD); archaeology; photogrammetry; open-source software (OSS); blockchain

【发表时间】2022

【收录时间】2022-10-26

【文献类型】观点阐述

【主题类别】

区块链应用-实体经济-考古领域