Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts
Since first coined by Google in 2012, knowledge graph has received extensive attention from both industry and academia, and has been widely used in many scenarios with success, e.g. information retrieval, online recommendation, question-answering, and so on. However, traditional centralized construc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8844724/ |
| _version_ | 1819174583762157568 |
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| author | Shuai Wang Chenchen Huang Juanjuan Li Yong Yuan Fei-Yue Wang |
| author_facet | Shuai Wang Chenchen Huang Juanjuan Li Yong Yuan Fei-Yue Wang |
| author_sort | Shuai Wang |
| collection | DOAJ |
| description | Since first coined by Google in 2012, knowledge graph has received extensive attention from both industry and academia, and has been widely used in many scenarios with success, e.g. information retrieval, online recommendation, question-answering, and so on. However, traditional centralized construction of knowledge graph faces many challenges, such as laborious and time-consuming, vulnerable to manipulation or tampering, lacking scrutiny, among others. Therefore, in this paper, we propose a novel decentralized knowledge graph construction method by means of crowdsourcing, and the business logic of crowdsourcing is implemented by blockchain-powered smart contracts to guarantee the transparency, integrity, and auditability. On this basis, the decentralized knowledge graph is used for a deep recommender system, and case studies validate the effectiveness of the system. This paper is aimed at providing a novel decentralized approach for constructing knowledge graph and serving as reference and guidance for future research and practical applications of knowledge graph. |
| first_indexed | 2024-12-22T20:41:17Z |
| format | Article |
| id | doaj.art-d315bf26a1cb4cb98860a565b3acb454 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:41:17Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d315bf26a1cb4cb98860a565b3acb4542022-12-21T18:13:19ZengIEEEIEEE Access2169-35362019-01-01713695113696110.1109/ACCESS.2019.29423388844724Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart ContractsShuai Wang0https://orcid.org/0000-0002-2358-7532Chenchen Huang1Juanjuan Li2Yong Yuan3Fei-Yue Wang4State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaSince first coined by Google in 2012, knowledge graph has received extensive attention from both industry and academia, and has been widely used in many scenarios with success, e.g. information retrieval, online recommendation, question-answering, and so on. However, traditional centralized construction of knowledge graph faces many challenges, such as laborious and time-consuming, vulnerable to manipulation or tampering, lacking scrutiny, among others. Therefore, in this paper, we propose a novel decentralized knowledge graph construction method by means of crowdsourcing, and the business logic of crowdsourcing is implemented by blockchain-powered smart contracts to guarantee the transparency, integrity, and auditability. On this basis, the decentralized knowledge graph is used for a deep recommender system, and case studies validate the effectiveness of the system. This paper is aimed at providing a novel decentralized approach for constructing knowledge graph and serving as reference and guidance for future research and practical applications of knowledge graph.https://ieeexplore.ieee.org/document/8844724/Decentralized knowledge graphdeep recommender systemcrowdsourcingblockchainsmart contracts |
| spellingShingle | Shuai Wang Chenchen Huang Juanjuan Li Yong Yuan Fei-Yue Wang Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts IEEE Access Decentralized knowledge graph deep recommender system crowdsourcing blockchain smart contracts |
| title | Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts |
| title_full | Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts |
| title_fullStr | Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts |
| title_full_unstemmed | Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts |
| title_short | Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts |
| title_sort | decentralized construction of knowledge graphs for deep recommender systems based on blockchain powered smart contracts |
| topic | Decentralized knowledge graph deep recommender system crowdsourcing blockchain smart contracts |
| url | https://ieeexplore.ieee.org/document/8844724/ |
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