O-Hoon Choi

A Context-Aware Fitness Guide System for Exercise Optimization in U-Health

In this paper, exercise management systems have been introduced, which are generally used to optimize exercise. They create a proper exercise program via an exercise prescription based on the personal physical status of the user. However, exercise programs, generally created at intervals of two weeks to three months, are static and cannot reflect the users exercise goals, which change dynamically. This paper proposes context-aware exercise architecture (CAEA), which provides an exercise program via a dynamic exercise prescription based on awareness of the users status. We use sensors of a U-health environment and implement CAEA as an intelligent fitness guide (IFG) system. The IFG system selectively receives necessary parameters as input according to the users exercise goals. Based on the changes in the users exercise type, frequency, and intensity, the system creates an exercise program via an exercise optimization algorithm. In this paper, to show the exercise efficiency using the IFG system, we compared a noncontrol group to a control group. An eight-week study was performed comparing the changes of body weight in the two study groups. The study showed that the control group using the IFG system approached the desired body weight 2.57% more closely than the noncontrol group. Since IFG provides a real-time exercise program for users via an exercise optimization algorithm, it enables the user to perform effective and stable exercise according to the users physical status.

A Method for Building Domain Ontologies based on the Transformation of UML Models

Ontologies are used in the integration of information resources by describing the semantics of the information sources with machine understandable terms and definitions. But, creating an ontology is a difficult and time-consuming process, especially in the early stage of extracting key concepts and relations. This paper proposes a method for domain ontology building by extracting ontological knowledge from UML models of existing systems. We compare the UML model elements with the OWL ones and derive transformation rules between the corresponding model elements. Based on these rules, we define an XSLT document which implements the transformation processes. We expect that the proposed method reduce the cost and time for building domain ontologies with the reuse of existing UML models

Deriving similarity for Semantic Web using similarity graph

One important research challenge of current Semantic Web is resolving the interoperability issue across ontologies. The issue is directly related to identifying semantics of resources residing in different domain ontologies. That is, the semantics of a concept in an ontology differs from others according to the modeling style and intuition of the knowledge expert even though they are the same forms of a concept in each respective ontology. In this paper, we propose a similarity measure to resolve the interoperability issue by using a similarity graph. The strong point of this paper is that we provide a precise mapping technique and similarity properties to derive the similarity. The novel contribution of this paper is that we provide a core technique of computing similarity across ontologies of Semantic Web.

A metamodel-based approach for extracting ontological semantics from UML models

UML has been a standard language for domain modeling and application system design for about a decade. Since UML models include domain knowledge in themselves, which was verified by domain experts, it is helpful to use these models as when we start to construct domain ontology. In this paper, we propose a method for extracting ontological concepts, properties, restrictions and instances from UML models. We compare the UML metamodel with the OWL metamodel, and define transformation rules for constructing OWL-encoded ontology. We expect that the generated ontology plays a role of an early stage model for ontology development.

An evaluation method for dynamic combination among OSGi bundles based on service gateway capability

A user may use a software bundle provided by vendors to control consumer electronics (CEs) in a home network environment. Software was developed as a bundle composed of various components and registered to an OSGi service registry, thus, a user can select a suitable bundle and implement it in a service gateway. Theres no need to consider hardware when using a single bundle, because this was handled by hardware, service gateway specifications. But using several bundles to implement a business process for simultaneous control of various CEs is a different matter. If hardware resource sharing was not considered in development, then quality of service (QoS) of the business process cannot be guaranteed. Thus, we need an evaluation method for a user-defined business process, to guarantee QoS in business process modeling. This paper suggests a representative evaluation algorithm by considering metadata about bundle distribution as evaluation items, such as method response time, component response time, memory space and CPU capacity. Also, this paper suggests a business process simulator. It enables constructions of simulations for the efficiency of evaluation items and methods. A user uses a simulator to select a suitable bundle for hardware and easily makes and verifies a suitable business process for their goals.

Modeling of Situation-Middleware for TPO metadata based on Event-Condition-Action Rule

In ubiquitous computing environment a large number of devices, services and applications that help end-users perform various kinds of tasks. Especially location awareness based on TPO (time-position-occasion) significantly enhances the functionality of ubiquitous computing services and applications. For these, a plethora of different alternative of complementary LBS (location based system) and RFID technologies is available. However, these technologies give TPO information in different formats and with different meanings. In this paper we propose situation-middleware that helps we do access control of suitable applications, service and devices without considering technologies. Besides, we introduce an inference rule based on event-condition-action and TPO metadata. Using TPO metadata is able to keeping clear of semantics mistakes which are entered from ubiquitous devices. The inference rule allows inferring that actions may conflicts based on policy

An Efficient Method of Data Quality using Quality Evaluation Ontology

In SOA (service oriented architecture) and RTE (real-time enterprise) environment, an assurance of data quality is important. Because we do not assure data accuracy among dynamic clustering data set. Traditional methodology for assuring data quality is data profiling and data auditing. However, that is needed lots of time and cost to analysis of metadata and business process for integrating system before evaluating data quality. In this paper, we propose an efficient methodology of assuring data quality with considering dynamic clustering data set. To extract evaluate rules for data quality, we use ontology that has meanings of each word in itself. We gain the relationship among word in ontology, and then make SQL to evaluate data accuracy, especially focused on data meaning.

An Efficient Method of Data Quality Evaluation Using Metadata Registry

This paper proposes MDRDP (Metadata Registry based on Data Profiling) to minimize the time and human resource for analyzing and extracting metadata as criteria standard for data profiling. MDRDP is based on MDR (Metadata Registry) which is used for an international standard of standardizing and managing metadata for information sharing in various fields. By MDRDP, we can evaluate data quality with authorize metadata using methodology of data profiling. MDR can guarantee the quality of metadata so that results of quality evaluation would improve.

A multimedia contents management system based on a metadata-net in home network

The aim of this paper is to propose a metadata-net as ontology to make a relation with similar metadata by analyzing structure and semantics of multimedia content metadata. Also, it is to suggest a multimedia contents management system based on a metadata-net (M2SM) as a methodology to provide integrated services for managing and searching various multimedia contents created and stored in home network-accessible consumer electronics (CEs). The proposed system helps users, who use a mobile device outside home, search and view highly relevant multimedia contents. When user wants to search some multimedia contents by metadata, M2SM provides query extension and modification and restriction using metadata-net in order to reduce increasing searching time caused by traversing unnecessary CEs in home network. The proposed system was implemented on a home server that acts as a gateway for establishing connections between home network and Internet. It supports various standards about home network and controls CEs to manage and search multimedia contents. In this way, M2SM reduces the search results delivered to mobile devices from home network, so power efficiency of mobile devices increase because CPU and network usage are declined.

A Methodology for Semantic Similarity Measurement among Metadata based Information System

To share information on specific domain, the information systems define their own metadata and use it. But metadata mismatch problem must be occurred when we try to share the information among heterogeneous domains. This paper proposes the method for enhancing semantic interoperability among information systems in heterogeneous domain. For this, we define a concept model on metadata which is described in metadata registry (MDR) and design a method for semantic similarity measurement among instances of concept model. With this method, it is able to select the optimum metadata for information sharing of systems on difference-domains