科技情报研究2024，Vol.6Issue(3)：56-68,13.DOI:10.19809/j.cnki.kjqbyj.2024.03.005
基于多源数据聚合的场景式情报服务方案生成及评价研究
Research on the Solutions Generation and Evaluation in Scenario-based Intelligence Service Based on Multi-source Data Aggregation
摘要
Abstract
[Purpose/significance]Faced with the challenges of big data and artificial intelligence technology,knowl-edge services are undergoing profound changes,starting from the task scenarios of user needs,this paper explores the scenario-based intelligence service process that supports and matches different industries and their business scenari-os.[Method/process]This paper takes the scenario-based intelligence service R-S model as the core,builds the sce-nario-based intelligence service solutions generation and evaluation process framework based on multi-source data aggregation,briefly describes the main contents and operation of multi-source data aggregation,and takes an organiza-tion's"Russia-Ukraine conflict"equipment information quick perception intelligence service as an example,discuss-es in detail the operation process and main contents from scenario service demand analysis,service element scenario,service solutions generation to service solutions evaluation.[Result/conclusion]By identifying scene elements and for-malizing them,and using low-cost computational methods,then simulate human-computer interaction to establish a configuration response relationship,generate service solutions and optimize them through evaluation.The proposed scenario-based intelligence service solutions generation and evaluation process in this article can meet the needs of service users in task scenarios.关键词
场景式服务/情报服务/多源数据聚合/人机混合增强智能/俄乌冲突Key words
scenario based services/intelligence services/multi source data aggregation/human machine hybrid en-hanced intelligence/Russia-Ukraine conflict分类
社会科学引用本文复制引用
王曰芬,董校一,何劲..基于多源数据聚合的场景式情报服务方案生成及评价研究[J].科技情报研究,2024,6(3):56-68,13.基金项目
国家社会科学基金重大项目"面向知识创新服务的数据科学理论与方法研究"(编号:16ZDA224) （编号:16ZDA224）
