Summary As ontologies are becoming larger and more diverse, ontological analysis and visualization of results have become more challenging, rendering the need for more computing resources. To address this issue, we suggest a system based on Hadoop for ontological analysis for large ontologies. Our suggested system consists of three parts: a data server to analyze ontological data, a visualization server to visualize the result of data analysis, and user applications to provide users with the visualized data. Server applications are implemented based on the Hadoop framework, and the ontological data are processed efficiently using the MapReduce algorithm. We performed ontological analysis using the DBpedia ontology and visualized the result. The goal of the visualization process is to determine the major properties of each class, and visualization is conducted on the Web in order to provide users with a cross‐platform environment. We evaluate the performance of the method by measuring execution times and analyzing experimental results obtained in the visualization process. The system we present is scalable for big ontological data. Copyright © 2015 John Wiley & Sons, Ltd.

This paper describes a concerted effort to design and implement a robotic service framework. The proposed framework is comprised of three conceptual spaces: physical, semantic, and virtual spaces, collectively referred to as a ubiquitous robotic space. We implemented a prototype robotic security application in an office environment, which confirmed that the proposed framework is an efficient tool for developing a robotic service employing IT infrastructure, particularly for integrating heterogeneous technologies and robotic platforms.

In recent years, motivated by the emergence of ubiquitous computing technology, a new class of networked robots - ubiquitous robots - has been introduced. The URC (ubiquitous robotic companion) is our conceptual vision of ubiquitous robot which provides us with the services we need, anytime and anywhere. To realize the vision of URC, it is one of the most important requirements for the robotic systems to support seamlessness of services even though service environments changes. Specifically, it is needed for robotic systems to be interoperable with the sensors and devices in current service environments automatically, rather than statically preprogrammed for them. In this paper, we present SURF (service-oriented ubiquitous robotic framework) which enables automated integration of networked robots into ubiquitous computing environments based on the semantic Web services technology. In SURF approach, we implement interfaces for robots, networked sensors and devices as Web services. And we describe knowledge about them in OWL-S the semantic Web services ontology and register the knowledge to KB, so that a SURF agent can automatically discover required knowledge and compose a feasible service plan for the service environments. And then the agent controls robots, sensors and devices through SOAP the Web services execution protocol according to the service plan.