Multi-view Scenario-based Service Resource Description Modeling and Application Method

Abstract

In recent years, soft service robot(e-SBOT) that can exist in any intelligent terminal have received widespread attention. However, currently the services provided by e-SBOT are extremely limited. This defect mostly dues to two problems, one is that the inaccuracy of capturing user’s need caused by incomplete understanding, the other is that the richness, diversity and complexity of service resources make it difficult to select appropriate resources. The existing service resource library is mainly based on the digital world and lacks a unified description and management of service resources both in digital and physical world. In addition, it is mostly useless to recommend service resources that do not match the user’s current scenario, resulting in a worse experience. Therefore, it’s essential to describe the service resources in combination with the scene and provide the service resources that adapted to the scenario to users in a more accurate and rapid way. To achieve this, we propose a scenario-based service resource description model based on ontology modeling. A multi-view retrieval method is simultaneously developed for rapid retrieval of service resources. Experimental results show that our proposed model and method can improve the retrieval speed and accurately return service resources suitable for user scenarios.