Joochan Sohn

Bossam: An Extended Rule Engine for OWL Inferencing

In this paper, we describe our effort to build an inference engine for OWL reasoning based on the rule engine paradigm. Rule engines are very practical and effective for their representational simplicity and optimized performance, but their limited expressiveness and web unfriendliness restrict their usability for OWL reasoning. We enumerate and succinctly describe extended features implemented in our rule engine, Bossam, and show that these features are necessary to promote the effectiveness of any ordinary rule engine’s OWL reasoning capability. URI referencing and URI-based procedural attachment enhance web-friendliness. OWL importing, support for classical negation and relieved range restrictedness help correctly capture the semantics of OWL. Remote binding enables collaborated reasoning among multiple Bossam engines, which enhances the engine’s usability on the distributed semantic web environment. By applying our engine to the W3C’s OWL test cases, we got a plausible 70% average success rate for the three OWL species. Our contribution with this paper is to suggest a set of extended features that can enhance the reasoning capabilities of ordinary rule engines on the semantic web.

Service-oriented integration of networked robots with ubiquitous sensors and devices using the semantic Web services technology

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.

A robotic service framework supporting automated integration of ubiquitous sensors and devices

In recent years, due to the emergence of ubiquitous computing technology, a new class of networked robots called ubiquitous robots has been introduced. The Ubiquitous Robotic Companion (URC) is our conceptual vision of ubiquitous service robots that provides its user with the services the user needs, anytime and anywhere, in the ubiquitous computing environments. There are requirements to be met for the vision of URC. One of the essential requirements is that the robotic systems must support ubiquity of services. This means that a robot service must always be available even though there are changes in the service environment. More specifically, a robotic system needs to be interoperable with sensors and devices in its current service environments automatically, rather than statically pre-programmed for its environment. In this paper, the design and implementation of an infrastructure for URC called Ubiquitous Robotic Service Framework (URSF) is presented. URSF enables automated integration of networked robots in a ubiquitous computing environment by the use of Semantic Web Services Technologies.

MoA: OWL ontology merging and alignment tool for the semantic web

Ontology merging and alignment is one of the effective methods for ontology sharing and reuse on the Semantic Web. A number of ontology merging and alignment tools have been developed, many of those tools depend mainly on concept (dis)similarity measure derived from linguistic cues. We present in this paper a linguistic information based approach to ontology merging and alignment. Our approach is based on two observations: majority of concept names used in ontology are composed of multiple-word combinations, and ontologies designed independently are, in most cases, organized in very different hierarchical structure even though they describe overlapping domains. These observations led us to a merging and alignment algorithm that utilizes both the local and global meaning of a concept. We devised our proposed algorithm in MoA, an OWL DL ontology merging and alignment tool. We tested MoA on 3 ontology pairs, and human experts followed 93% of the MoAs suggestions.

Design and Implementation of a Ubiquitous Robotic Space

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.

Context modeling for intelligent robot services using rule and ontology

Ubiquitous computing is one of major trends in the IT world. Context-aware is one of the heart elements in ubiquitous computing. To understand context, we must have some models which describe the real world. So, in this paper we present how to model contextual information and give some real context models. We use rule and ontology when we make context model. Using the models, we can easily interpret meanings of the real world. The result of this paper can be used by context-aware applications

An Executable Service Process Generation System using Web Service and OWL-S

In this paper, we present the efficient method that generates a service process to provide more information using Web service and OWL-S. Also, we control the robot behavior using task script based on XML. Task script describes tasks that maintain list of planned tasks to execute services. The service composition discovers the most suitable service plan, and then creates an executable service process through the executable service process generation system. An executable service process is transmitted to the process execution engine such as BPEL4WS and Task engine. Finally, execution engine execute the service plan that can provide more services for intelligent robot

Ubiquitous robot simulation framework and its applications

We describe in this paper a framework, called URSF, for simulating ubiquitous computing environment and ubiquitous robots. URSF provides in/out channel with which ubiquitous robot platforms can be plugged. Once connected to the framework, ubiquitous robot platform can percept and affect the world simulated in the framework. The simulated world is built by composing a simulation space and placing in it operational components such as appliances, sensors, persons, robots etc. Each operational component continuously generates context data, which are fed to the plugged platform. The platform builds world model by interpreting the context data stream. Operational components in the simulation space expose services through semantic Web service scheme, through which plugged platform can affect the simulated world. Semantic Web service scheme enables automated discovery of services dynamically coming and going in the simulation space. The framework can be used to observe how robots interact with environment via ubiquitous network. We discuss two advanced usages of URSF: intelligent robot manipulation and mixed robot-reality manifestation.

An Emotion Expression System for the Emotional Robot

In this paper, we presents an emotion expression system for expressing emotion for the emotional robot, which have a plurality of different sensors sense information about internal/external stimuli. In detail, we propose method for processing information that is collected through various sensors in an intelligent robot, a method for determining an emotion, and a method for expressing a corresponding action. Our system can express a specific emotion of the emotional robot in the form recognizable by a user so that an emotional communication between the user and the emotional robot through affective communication. An emotional expression system is comprised of an emotion feature information collector component, an internal status management component, an action determiner component and an action expression component. Our system can be applied to the emotional robot. Also, our system can be used in developing the Cyber character having an emotion or developing the apparatus having an emotion in the ubiquitous environment.

Modeling of multiple agent based cryptographic key recovery protocol

When a receiver of a ciphertext message can not decrypt the message due to the fact that he has lost his private-key, the private-key of the receiver and session-key of the message need to be recovered. We demonstrate how we have modeled and analyzed a new type of multiple agent based key recovery protocol. It is characterized by key encapsulation approach, protocol generalization, secret choice of key recovery agents and fork/join of session-keys by random-keys. The proposed protocol is formally modeled by a new pictorial model, an extended cryptographic timed Petri net (ECTPN). Recoverability of a session-key as well as performance of the protocol is verified by using a reachability graph of the ECTPN.