计算机科学与探索2019，Vol.13Issue(2)：214-225,12.
数据、信息和知识三层图谱架构的推荐服务设计
Design of Recommendation Services Based on Data, Information and Knowledge Graph Architecture*
邵礼旭 1段玉聪 1周长兵 2高洪皓 3陈世展4
作者信息
- 1. 海南大学 信息科学技术学院,南海资源利用海洋国家重点实验室,海口 570228
- 2. 中国地质大学 信息工程学院,北京 100083
- 3. 上海大学 计算机工程与科学学院,上海 200444
- 4. 天津大学 计算机科学与技术学院,天津 300072
- 折叠
摘要
Abstract
Faced with complex data, information and knowledge resources, users are easy to get lost and overloaded in the process of learning. Automated machine understanding, automated processing, automatic synthesis, and automatic analysis of natural language, such as the original representation of the resources of these data, information and knowledge, have become a huge challenge. This paper studies resource modeling, resource processing, processing optimization and resource management from the aspects of coping with automatic incremental knowledge and reducing the interaction burden of artificial experts and puts forward a three-tier solution architecture which can automatically abstract and adjust resources based on the concept extension of existing Knowledge Graph. This architecture recursively supports integration of empirical knowledge and efficient automatic semantic analysis of resource elements through frequency focused profiling on data graph and optimal search through abstraction on information graph and knowledge graph. The proposed architecture is supported by the 5W (who/when/where, what and how) to interface users’ learning requirements which can provide users with personalized learning service recommendation.关键词
资源建模/知识图谱/服务推荐/语义建模Key words
resource modeling/ knowledge graph/ service recommendation/ semantic modeling分类
信息技术与安全科学引用本文复制引用
邵礼旭,段玉聪,周长兵,高洪皓,陈世展..数据、信息和知识三层图谱架构的推荐服务设计[J].计算机科学与探索,2019,13(2):214-225,12.
