摘要：

Abstract:

【Purpose/significance】The information association and infusion of agricultural trade will reduce market uncertainty. This

paper uses semantic web and related information fusion technology to integrate multi-source information to provide support for govern⁃

ment decision-making and trade.【Method/process】Based on the characteristics of agricultural trade and information resources, the

paper combines the ontology layered design model and the Seven-Step method. Firstly the top-level ontology is constructed with

PROV-O ontology, secondly under the top-level ontology architecture, 13 existing domain ontologies are reused to describe the seman⁃

tic structure of agricultural product, stakeholder, supply-demand and logistics activities, and information fusion is realized based on

semantic similarity and reasoning methods.【Result/conclusion】Based on the ontology, multiple information sources fusion has been

realized . The relationship richness is 0.676 which close to 1 base on OntoQA index, indicating that the ontology has rich inter-class

relations, which help to better describe the complex relations of agricultural trade .【Innovation/limitation】Innovatively propose an on⁃

tology framework and related informaiton fusion methods for the integration of agricultural trade information. Meanwhile it is limited to

insufficient association with foreign trade information and needs to be further expanded.