Purpose: The aim of this study is to develop and implement a quality-control system to ensure authority control of the different knowledge units for the Scientific & Technological Knowledge Organization Systems(ST...Purpose: The aim of this study is to develop and implement a quality-control system to ensure authority control of the different knowledge units for the Scientific & Technological Knowledge Organization Systems(STKOS).Design/methodology/approach: First, we analyzed quality-control requirements based on the construction of the STKOS Metathesaurus. Then we designed a quality-control framework, the task management and transfer mechanism, and a service model. Afterwards, we carried out the experiments to check the rules and algorithms used in the system. Finally, the system was developed, and gradually optimized during its service.Findings: The quality-control system supports collaborative knowledge construction, as well as consistency checks of knowledge units with different granularity levels, including terminologies, relationships, and concepts. The system can be flexibly configured.Research limitations: The system is oriented to an English-language knowledge organization system, and may not perform well with Chinese-language systems and ontologies.Practical implications: The system can be used to support the construction of a single knowledge organization system, as well as data warehousing and interoperable knowledge organization systems. Originality/value: The STKOS quality-control system not only focuses on content building for the knowledge system, but also supports collaborative task management.展开更多
基金supported by the Ministry of Science and Technology of China(Grant No.:2011BAH10B02)
文摘Purpose: The aim of this study is to develop and implement a quality-control system to ensure authority control of the different knowledge units for the Scientific & Technological Knowledge Organization Systems(STKOS).Design/methodology/approach: First, we analyzed quality-control requirements based on the construction of the STKOS Metathesaurus. Then we designed a quality-control framework, the task management and transfer mechanism, and a service model. Afterwards, we carried out the experiments to check the rules and algorithms used in the system. Finally, the system was developed, and gradually optimized during its service.Findings: The quality-control system supports collaborative knowledge construction, as well as consistency checks of knowledge units with different granularity levels, including terminologies, relationships, and concepts. The system can be flexibly configured.Research limitations: The system is oriented to an English-language knowledge organization system, and may not perform well with Chinese-language systems and ontologies.Practical implications: The system can be used to support the construction of a single knowledge organization system, as well as data warehousing and interoperable knowledge organization systems. Originality/value: The STKOS quality-control system not only focuses on content building for the knowledge system, but also supports collaborative task management.
