Human-based Consensus for Trust Installation in Ontologies

Tracking #: 2479-3693

This paper is currently under review
Christoph Summerer
Emanuel Regnath
Hans Ehm
Sebastian Steinhorst

Responsible editor: 
Oscar Corcho

Submission type: 
Full Paper
Blockchain technologies enable a decentralized peer-to-peer network to reach distributed consensus on transaction data that is written into a blockchain. This data is then considered to be a single source of truth, trusted by the entire network. Many approaches focus on writing financial transaction data into the blockchain, which can be easily verified and validated by machines to reach distributed consensus. However, there exist also other types of data which requires human thinking and collaboration for validating and finding consensus. This is the case for ontologies, which are important building blocks for Semantic Web content but are currently difficult to validate and maintain and would therefore benefit from the guarantees provided by blockchain. In this paper, we propose a novel protocol to represent the human factor on a blockchain environment. Our approach allows single or groups of humans to propose data in blocks which are verified and validated by other humans. Only if human-based consensus on the correctness and trustworthiness of the data is reached, the new block is appended to the blockchain. Our experimental results show that this human approach is an alternative to conventional approaches but significantly extends the possibilities of blockchain applications on data that cannot be verified and validated automatically but requires human knowledge and collaboration.
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