关键词: 本体, 本体推理, D-S证据理论, 活动识别

Abstract: The effective recognition of activity is the key to Intelligent Assistant. This paper proposes an activity recognition approach with complementary structure which combining D-S evidence theory and semantic reasoning. This approach creates the complementary through the correspondence between D-S theory and knowledge base, which can both resolve the knowledge sharing of heterogeneous data and the rule conflicts in ontology reasoning, and then improves the result of inference. Finally, the feasibility and effectiveness of the approach are verified through the application of complex activity in prototype system. Results show that it has better effect in improving the accuracy of activity recognition.

Key words: ontology, ontology reasoning, D-S evidence theory, activity recognition