Context Ontology Driven Multi-source Knowledge Fusion Framework

Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》

Tang Xuli Zhang Bin Fu Weigang

Abstract： [Purpose/significance] Context-awareness modeling is an important method to solve information overflow, information overload, and to realize information on demand, however, it always being ignored in the construction of knowledge base, which hinders the practical application of knowledge base as well as reduces the efficiency and effectiveness of knowledge service.[Method/process] This paper proposed an ontology-based context driven multi-source knowledge fusion framework taking the context, personal profiles and domain ontology into consideration. Under the guidance of this framework, this paper constructed an Adverse Drug Reactions (ADR) knowledge base with respect to the contextual relevance naming ConADR Ontology. Firstly, we constructed a situation ontology which can semi-automatically update schema and extend ontology instance, and then successfully fuse it with existed domain ontology ADReCS and Disease Ontology using Jena and Protégé. Finally, we developed a case query application based on SPARQL.[Result/conclusion] The example shows that the framework has a certain feasibility and theoretical reference value for the merger and construction of knowledge base.

 Hits 794  Downloads 144  Comment 0