Title :
Data-Information Retrieval based Automated Ontology framework for Service Robots
Author :
Kanjaruek, Saranya ; Dayou Li
Author_Institution :
Inst. for Res. in Applicable Comput., Univ. of Bedfordshire, Luton, UK
Abstract :
This work presents the Data-Information Retrieval based Automated Ontology framework for Service Robots. The paper focuses on the Dynamic Semantics which implemented the Object Finding scenario. The goal is to present a framework regarding automated ontology building without human involvement and the Object Finding scenario aims at solving the problem of dynamic ontology. The Object Finding scenario combined FileN algorithm and the Least Recently Used and the Least Frequently Used technique in order to calculate the future location of object. The result of scenario will reveal the effective way to the prediction of future location of specific object.
Keywords :
control engineering computing; information retrieval; ontologies (artificial intelligence); service robots; combined FileN algorithm; data-information retrieval based automated ontology framework; dynamic ontology problem; dynamic semantics; least frequently used technique; least recently used technique; object finding scenario; service robots; Buildings; Heuristic algorithms; Information retrieval; OWL; Ontologies; Robots; Semantics; data retrieval; information retrieval; ontology;
Conference_Titel :
Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), 2014 International Conference on
DOI :
10.1109/3M-NANO.2014.7057305
