purpose: the study was carried out to construct a domain knowledge service system based on the scientific & technological knowledge organization systems (stkos).

design/methodology/approach: the framework of a domain knowledge service system is designed on the basis of the stkos, and the stkos science and technology vocabularies, category systems, and ontology networks are applied to realize the knowledge organization and semantic linking of the scientific and technological information resources. meanwhile, related knowledge-mining analysis algorithms and models are improved, and some tools such as solr and d3 are used for developing the system. this system integrates various knowledge service modules, including unified search of domain information resources and knowledge-linked navigation, domain hotspot and burst topics monitoring analysis, knowledge structure and evolution analysis, literature citation network, and research agents' cooperative relationship network analysis.

findings: the system can help to refine descriptions, knowledge organization, and the semantic linking of various kinds of information resources closely related to science and technology. such resources include domain literature, institutions, scientists, projects, and more.

research limitations: trial assessment and performance improvement should be carried out for the knowledge service application on the basis of more types of and larger quantities of domain information resources.

practical implications: the domain knowledge service system provides an integrated knowledge discovery tool, as well as several kinds of knowledge mining analysis services for researchers.

originality/value: our practice can be used as a valuable guide for libraries and information institutions that plan to provide deep domain knowledge services.

purpose: the study was carried out to construct a domain knowledge service system based on the scientific & technological knowledge organization systems (stkos).

design/methodology/approach: the framework of a domain knowledge service system is designed on the basis of the stkos, and the stkos science and technology vocabularies, category systems, and ontology networks are applied to realize the knowledge organization and semantic linking of the scientific and technological information resources. meanwhile, related knowledge-mining analysis algorithms and models are improved, and some tools such as solr and d3 are used for developing the system. this system integrates various knowledge service modules, including unified search of domain information resources and knowledge-linked navigation, domain hotspot and burst topics monitoring analysis, knowledge structure and evolution analysis, literature citation network, and research agents' cooperative relationship network analysis.

findings: the system can help to refine descriptions, knowledge organization, and the semantic linking of various kinds of information resources closely related to science and technology. such resources include domain literature, institutions, scientists, projects, and more.

research limitations: trial assessment and performance improvement should be carried out for the knowledge service application on the basis of more types of and larger quantities of domain information resources.

practical implications: the domain knowledge service system provides an integrated knowledge discovery tool, as well as several kinds of knowledge mining analysis services for researchers.

originality/value: our practice can be used as a valuable guide for libraries and information institutions that plan to provide deep domain knowledge services.