• Journal of KIISE
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• v.42 no.3
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• pp.295-306
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• 2015

MOnCa2 is a framework for building intelligent smartphone applications based on smartphone sensors and ontology reasoning. In previous studies, MOnCa determined and inferred user situations based on sensor values represented by ontology instances. When this approach is applied, recognizing user space information or objects in user surroundings is possible, whereas determining the user's physical context (travel behavior, travel destination) is impossible. In this paper, MOnCa2 is used to build recognition models for travel behavior and routes using smartphone sensors to analyze the user's physical context, infer basic context regarding the user's travel behavior and routes by adapting these models, and generate high-level context by applying ontology reasoning to the basic context for creating intelligent applications. This paper is focused on approaches that are able to recognize the user's travel behavior using smartphone accelerometers, predict personal routes and destinations using GPS signals, and infer high-level context by applying realization.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.17-24
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• 2007

Critical practicality problems are cause to search the presentation and contents according to user request and purpose in previous internet system. Recently, there are a lot of researches about dynamic adaptable ontology based system. We designed ontology based educational system which uses discrete probability and user profile. This system provided advanced usability of contents by ontology and dynamic adaptive model based on discrete probability distribution function and user profile in ontology educational systems. This models represents application domain to weighted direction graph of dynamic adaptive objects and modeling user actions using dynamically approach method structured on discrete probability function. Proposed probability analysis can use that presenting potential attribute to user actions that are tracing search actions of user in ontology structure. This approach methods can allocate dynamically appropriate profiles to user.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.63-75
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• 2011

A number of process algebras have been proposed to develop distributed mobile real-time systems: pi-Calculus, Mobile Ambients Calculus, Bigraph, etc. However, as the systems get large and complex, the algebras become less suitable for understanding the interactions and mobility of the processes of the systems due to the size and complexity. Therefore it is necessary to handle the size and complexity for systematic understanding of the systems. This paper handles the size and complexity with a method of abstraction on sequences of interactions and movements of processes in the systems, which can be further organized in the form of hierarchically structured lattices, namely, Prism. The theoretical principle of the abstraction is based on a new concept of Behavior Ontology, which is extended from Active ontology. Prism allows the systems to be analyzed in the perspective of the lattices in Prism, which are characterized by the hierarchically organized behavioral properties of the developing systems, for systematic understanding the systems. In this way, the complexity of the interactions and the movements can be handled systematically in the semantically and hierarchically organized structure of the behavior.

• Journal of KIISE
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• v.41 no.12
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• pp.1035-1049
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• 2014

This paper presents a new method to detect attack patterns in security-critical systems, based on a new notion of Behavior Ontology. Generally security-critical systems are large and complex, and they are subject to be attacked in every possible way. Therefore it is very complicated to detect various attacks through a semantic structure designed to detect such attacks. This paper handles the complication with Behavior Ontology, where patterns of attacks in the systems are defined as a sequences of actions on the class ontology of the systems. We define the patterns of attacks as sequences of actions, and the attack patterns can then be abstracted in a hierarchical order, forming a lattice, based on the inclusion relations. Once the behavior ontology for the attack patterns is defined, the attacks in the target systems can be detected both semantically and hierarchically in the ontology structure. When compared to other attack models, the behavior ontology analysis proposed in this paper is found to be very effective and efficient in terms of time and space.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.777-784
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• 2017

In the architectural space, the user's behavior is the most important factor in evaluating the quality of architecture. Normally, the evaluation of user behavioral performance was carried out after a building was completed. Recently, interest in and efforts at pre-simulation based on information technology are accelerating. However, since existing user simulation technology is concerned mainly with simply escaping from a large space, it is impossible to simulate the behavior of multiple users in an architectural space. The present study strives to develop a human-figured intelligent agent for advanced user simulation based on ontology. The main purpose of the study is to employ the intelligent behaviors of a NPC(Non-player Character) to infer the ontology of both spatial and user information. In this paper, we intend to integrate ontology inference technology into the virtual space. And also, this study suggest the ontology visualization technology which illustrate the ontology-based information and their change in the spatial information.

• Journal of KIISE
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• v.44 no.3
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• pp.287-294
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• 2017

With the personal-media development that has emerged through various means such as UCC and SNS, many media studies have been completed for the purposes of analysis and recognition, thereby improving the object-recognition level. The focus of these studies is a classification of media that is based on a recognition of the corresponding objects, rather than the use of the title, tag, and scripter information. The media-classification task, however, is intensive in terms of the consumption of time and energy because human experts need to model the underlying media ontology. This paper therefore proposes an automated approach for the modeling of the media-classification ontology schema; here, the OWL-DL Axiom that is based on the frequency of the recognized media-based objects is considered, and the automation of the ontology modeling is described. The authors conducted media-classification experiments across 15 YouTube-video categories, and the media-classification accuracy was measured through the application of the automated ontology-modeling approach. The promising experiment results show that 1500 actions were successfully classified from 15 media events with an 86 % accuracy.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.877-880
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• 2017

가정이나 사무실 등과 같은 다양한 현실 세계에서 서비스 로봇이 자율적으로 동작하기 위해서는 복잡한 작업을 수행할 수 있어야만 한다. 다양한 센서 데이터가 있는 서비스 환경에서 고수준의 의미 정보를 이해하는 것은 지식 기반 로봇에게 필수적인 능력 중 하나이다. 본 논문에서는 서비스 로봇에게 다양한 환경에서 주어진 작업을 효과적으로 해결할 수 있도록 저레벨의 센서 데이터와 고레벨의 의미 정보를 통합하는 인간-로봇 상호작용 온톨로지를 소개한다. 지능형 로봇 지식에는 다양한 서비스의 확장성을 위해 사용자, 로봇, 인지, 환경, 행위 5가지 온톨로지로 분류한다. 지능형 로봇 지식은 일반 지식 뿐만 아니라 로봇의 수행 능력, 구성요소 등의 전문 지식까지 정의하고 서비스 에이전트 간 상호작용을 위한 인터페이스를 표준화함으로써 지능형 로봇에 적합한 지능을 제공한다. Turtlebot2을 이용한 실험을 통해 온톨로지 기반의 통합 로봇 지식의 높은 효율성을 확인 할 수 있었다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.283-284
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• 2012

본 논문에서는 온톨로지 기반의 가상세계를 구현하고, 그 구현된 가상세계의 거주자가 경험하는 정보를 이미 정의된 지식구조로 저장하여, 재사용성과 다양성을 보장한다. 시간의 흐름과 공간적 위치 관계의 표현을 위한 S-T(시공간) 그래프와 일련의 정의된 사건과 이벤트가 가상세계 거주자인 에이전트의 지식구조에 맞게 변형, 축소된 후에 저장되어 최종적으로 에이전트를 둘러싼 환경변화자체가 에이전트의 의사결정을 좌우하지 않고, 에이전트의 지식을 기반으로 에이전트 자신의 의사결정 시스템에 따라 환경에 대응하는 다양한 행동을 보여준다. 이러한 에이전트의 지식구조를 구현하기 위하여 기본적으로 온톨로지라는 가상세계 자체를 아우르는 추상화 모델이 필요하며, 이 모델을 상속하여 실세계의 Object들을 정의 해 나간다. 정의된 온톨로지를 기반으로 가상세계에 Object들을 등장 시키고, 시공간적 변화에 따른 정보들이 에이전트의 지식구조로 변형되어 저장되어 진다, 이렇게 저장된 정보들이 에이전트의 의사결정 시스템에 적용되어 에이전트의 다양한 행위를 보장 할 수 있다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.280-289
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• 2005

지능형 에이전트란 환경상태를 인지하고 상태정보에 따른 적절한 행위를 자동적으로 수행하는 소프트웨어 객체를 말한다. 본 논문에서는 시맨틱 웹 환경에서 시맨틱 서비스를 지능적이고 자동적으로 수행하는 에이전트 개발을 통해서 시맨틱 웹 응용사례에 대해 제안한다. 본 논문에서는 제안하는 시맨틱 서비스 에이전트는 다음과 같은 핵심 요소 기술의 특징을 갖는다. 첫째, 시맨틱 웹 환경의 온톨로지와 메타데이터 및 사용자 프로파일을 자원으로 사용하여 상태정보를 인지한다. 둘째, SWRL(Semantic Web Rule Language)기반의 추론엔진을 통해서 인지된 상황 정보를 역방향 추론하고 지능적인 행동의 수행을 결정한다. 셋째, 시맨틱 웹 환경의 확장을 통한 에이전트의 활동 범위를 증가시키기 위해서 사용자 중심의 메타데이터 저작기능을 갖는다. 넷째, 시맨틱 서비스 에이전트는 온톨로지 서버 및 시맨틱 미들웨어를 통한 시맨틱 웹 인프라 시스템의 프레임워크를 갖는다. 본 논문에서는 시맨틱 서비스 에이전트의 실제 구현을 통해서 시맨틱 웹 환경이 제공하는 자원을 적극 이용하고 사용자 요구에 맞춰 이를 사용자에게 지능적이고 자동적인 서비스로 제공하는 에이전트를 제안한다.

• Journal of KIISE
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• v.44 no.11
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• pp.1178-1193
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• 2017

It is very important to understand system behaviors in collective pattern for each knowledge domain. However, there are structural limitations to represent collective behaviors because of the size of system components and the complexity of their interactions, causing the state explosion problem. Further composition with other systems is mostly impractical because of exponential growth of their size and complexity. This paper presents a practical method to model the collective behaviors, based on a new concept of domain engineering: behavior ontology. Firstly, the ontology defines each collective behavior of a system from active ontology. Secondly, the behaviors are formed in a quantifiably abstract lattice, called common regular expression. Thirdly, a lattice can be composed with other lattices based on quantifiably common elements. The method can be one of the most innovative approaches in representing system behaviors in collective pattern, as well as in minimization of system states to reduce system complexity. For implementation, a prototype tool, called PRISM, has been developed on ADOxx Meta-Modelling Platform.