Automated ontology framework for service robots
| Autor: | Renxi Qiu, Dayou Li, Noppakun Boonsim, Saranya Kanjaruek |
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| Rok vydání: | 2015 |
| Předmět: |
Ontology Inference Layer
Ontology learning Computer science business.industry Ontology-based data integration Process ontology Suggested Upper Merged Ontology Ontology (information science) computer.software_genre Human–computer interaction Upper ontology Artificial intelligence business computer Ontology alignment Natural language processing |
| Zdroj: | ROBIO |
| Popis: | This paper presents an automated ontology framework for service robots. The framework is designed to automatically create an ontology and an instance of concept in dynamic environment. Ontology learning from text is applied to build a concept hierarchy using WordNet which provides a rich semantic processing for physical objects. The Automated Ontology is composed of four modules: Concept Creation, Property Creation, Relationship Creation and Instance of Concept Creation. The automated ontology algorithm was implemented in order to create the concept hierarchy in the Robot Ontology. The Semantic Knowledge Acquisition represents knowledge of physical objects in dynamic environments. In simulation experiments, the list of object names and property names was identified. The result shows the concept hierarchy which represents explicit terms and the semantic knowledge of physical objects for performing everyday manipulation tasks. |
| Databáze: | OpenAIRE |
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