• Title, Summary, Keyword: Context Model

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A Context Model Comparison Methodology for Developing Generic Context Model used in Ubiquitous Multi-Services (유비쿼터스 멀티 서비스 개발에서의 일반적 상황모형 구축을 위한 상황모형 비교 평가방법론)

  • Park, Tae-Hwan;Kwon, Oh-Hyung
    • Journal of Intelligence and Information Systems
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    • v.13 no.1
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    • pp.29-47
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    • 2007
  • Acquiring context data in a timely and correct way is now regarded as one of the crucial characteristics of the proactive service which runs on ubiquitous computing environment. Moreover, context model should be well designed to provide a solid context-aware system. Since the ubiquitous computing systems aim to provide context-aware services everywhere with any available devices, legacy services which uses context models assuming single or limited domain should be extended enough to be useful even for multi-domain muli-services. This leads us to a motivation to build a generic context model with an appropriate type of model. Hence, the purpose of this paper is to propose a generic context model by assessing a variety of model types with a sort of evaluation measures.

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Context Knowledge Modeling for Pervasive Systems (퍼베이시브 시스템을 위한 상황 지식 모델링)

  • Cho, Joon-Myun;Kim, Hyun;Han, Soon-Hung
    • The Journal of Korea Robotics Society
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    • v.2 no.1
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    • pp.80-92
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    • 2007
  • For the pervasive computing in ubiquitous environment, it is very important to manage the context model to provide pertinent context knowledge to context-aware applications. The context model should be able to support efficiently the context knowledge reusing and sharing as well as reasoning. Previous works focus mainly on the context knowledge representation scheme for reasoning. This paper proposes a context knowledge modeling scheme especially for reusing and sharing. This scheme provides well-established principles and guides for 1) context knowledge modularization and hierarchization, and for 2) context knowledge identification and organization. Once the context models are built according to the scheme, the structure of the context model and the meanings of the context knowledge elements become clear and consistent, so that context-aware applications can share and reuse the context knowledge in easy and error-reduced manner. This paper also discusses the implementation of a context model and an application for Presentation Helper scenario running on a software middleware system (CAMUS) for ubiquitous service robots which is being developed by ETRI Korea.

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Context Information Model using Ontologies and Rules Based on Spatial Object (공간객체 기반의 온톨로지와 규칙을 이용한 상황정보 모델)

  • Park, Mi;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.13D no.6
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    • pp.789-796
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    • 2006
  • Context-aware is the core in ubiquitous environment of sensor network to support intelligent and contextual adaptation service. The new context information model is demanded to support context-aware applications. The model should not depend on a specified application and be shareable between applications in the same environment. Also, it should support various context representation and complex context-aware. In this paper, we define the context information according to context-aware process. Also we design the knowledge of domain as well as applications using ontologies and rules. The domain spatial ontology and application knowledge are represented using the spatial object model and the rules of expanded ontologies, respectively. The expression of abundant spatial ontology represents the context information about distance between objects and adjacent object as well as the location of the object. The proposed context information model which is able to exhibit various spatial context and recognizes complex spatial context through the existing GIS. This model shows that it can adapt to a large scale outdoor context-aware applications such as air pollution and prevention of disasters as well as various context-aware applications.

DESIGN OF A CONTEXT ANALYSIS MODEL ON USN ENVIRONMENT

  • Jin, Cheng-Hao;Lee, Yong-Mi;Nam, Kwang-Woo;Lee, Jun-Wook;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • pp.122-125
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    • 2008
  • Sensors used in many USN (Ubiquitous Sensor Network) domain applications generate a large amount of sensor stream data. The volume of sensor stream data is too huge to store the whole data and data speed is too fast to control each of them. In order to provide rapid and reliable context analysis service over sensor stream data, we propose a WHEN-DO context analysis model that supports the functionality of sliding window. This model is designed to be used as follows: If the sensor stream data satisfies condition in 'WHEN' clause, then it will execute actions in 'DO' clause in WHEN-DO context analysis model. The proposed WHEN-DO context analysis model can be applied to many other USN environment applications such as monitoring the status of a building and then taking actions in corresponding context condition.

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Context Driven Component Model Supporting Scalability of Context (상황정보의 확장성을 지원하는 상황정보 기반 컴포넌트 모델)

  • Yoon, Hoi-Jin;Choi, Byoung-Ju
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.1
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    • pp.24-34
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    • 2007
  • Since Context Driven Component model is based on the idea that a context-aware application consists of the components that are context sensitive and the components that do not depend on the context, it divides the context sensitive part into components according to which context information they are related to. The model supports the scalability of context information by building an application through composing Context Driven Components. Furthermore, it solves the embeddedness of context information inside the application logic. To show the contributions of the model, this paper applies it to Call-forwarding application, and analyses how the model supports the scalability and the embeddedness.

Document Summarization Model Based on General Context in RNN

  • Kim, Heechan;Lee, Soowon
    • Journal of Information Processing Systems
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    • v.15 no.6
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    • pp.1378-1391
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    • 2019
  • In recent years, automatic document summarization has been widely studied in the field of natural language processing thanks to the remarkable developments made using deep learning models. To decode a word, existing models for abstractive summarization usually represent the context of a document using the weighted hidden states of each input word when they decode it. Because the weights change at each decoding step, these weights reflect only the local context of a document. Therefore, it is difficult to generate a summary that reflects the overall context of a document. To solve this problem, we introduce the notion of a general context and propose a model for summarization based on it. The general context reflects overall context of the document that is independent of each decoding step. Experimental results using the CNN/Daily Mail dataset show that the proposed model outperforms existing models.

Understanding the Pattern of Mobile-phone Tasks on the 'Situational Context' : Focused on the ESR(Extend, Synchronize, Replace) Model (모바일폰 사용 영역과 상황 기반의 컨텍스트 정의 및 사용 행위의 구조 분석을 통한 테스크 모델 제안)

  • Cho, Yun-Jin;Lee, Eun-Jong
    • 한국HCI학회:학술대회논문집
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    • pp.158-164
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    • 2008
  • This study was conducted for raising the considering the dynamical context of mobile phone use environment in the mobile-phone research. For this I identified the characteristic of the mobile phone use. The first characteristic is that the mobile phone is the context sensitive device. Also, it reflects the user's life pattern because it is the very personal device. I defined the context of mobile phone use with the basis on this identification of those characteristics. I referenced the definition, 'situational context', defining the mobile phone use context. Also, I set up the research scope within the user task that is influential from the situational context, I named this kind of task as the 'contextual task'. I developed the Contextual Task Model in this study. I named the model as the 'ESR Model'. The reason that I developed this contextual task model is that this model can help novice designers and designers unfamiliar with an application domain understand the user behavior and user centered design. And also this model can be effective to communicate each other, I identified the user's contextual tasks three kinds of model. First, the Extend Model includes user tasks that related to extending from user physical working space to the virtual level. Second model is Synchronize Model, which includes issues that lesson the blocking when use several functions at a time or sequentially. Third model is Replace Model, which is come from the characteristic of user life pattern to use the mobile phone. Finally, I proposed an application of this model, CIQ. Through the process to make CIQ I proved the effectiveness of this ESR Model.

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Probability-Based Context-Generation Model with Situation Propagation Network (상황 전파 네트워크를 이용한 확률기반 상황생성 모델)

  • Cheon, Seong-Pyo;Kim, Sung-Shin
    • The Journal of Korea Robotics Society
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    • v.4 no.1
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    • pp.56-61
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    • 2009
  • A probability-based data generation is a typical context-generation method that is a not only simple and strong data generation method but also easy to update generation conditions. However, the probability-based context-generation method has been found its natural-born ambiguousness and confliction problems in generated context data. In order to compensate for the disadvantages of the probabilistic random data generation method, a situation propagation network is proposed in this paper. The situation propagating network is designed to update parameters of probability functions are included in probability-based data generation model. The proposed probability-based context-generation model generates two kinds of contexts: one is related to independent contexts, and the other is related to conditional contexts. The results of the proposed model are compared with the results of the probabilitybased model with respect to performance, reduction of ambiguity, and confliction.

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Probability-annotated Ontology Model for Context Awareness in Ubiquitous Computing Environment (유비쿼터스 컴퓨팅 환경에서의 상황 인식을 위한 확률 확장 온톨로지 모델)

  • Jung, Heon-Man;Lee, Jung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.239-248
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    • 2006
  • Current context-aware applications In ubiquitous computing environments make the assumption that the context they are dealing with is correct. However, in reality, both sensed and interpreted context informations are often uncertain or imperfect. In this paper, we propose a probability extension model to ontology-based model for rep resenting uncertain contexts and use Bayesian networks to resolve about uncertainty of context informations. The proposed model can support the development and operation of various context-aware services, which are required in the ubiquitous computing environment.

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A Hierarchical Mobile Context Model and User Context Inference Methods based on Smart Phones (스마트 폰 기반 계층적 모바일 컨텍스트 모델 및 사용자 상황 추론 기법)

  • Lee, Meeyeon;Lee, Jung-Won;Park, Seung Soo
    • Journal of Software Engineering Society
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    • v.24 no.1
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    • pp.19-26
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    • 2011
  • Since smart phones have various embedded sensors and high portability/usability, they have emerged as suitable targets to collect information and to provide intelligent services. That is, with a smart phone, we can collect information about user's circumstances and phone usage from sensors and infer his/her current state which is the significant basis for context-aware services. However, a service system should be founded on a context model to ensure reasonable context-awareness, because context information the system needs depends on its target services. Therefore, in this paper, we propose a hierarchical mobile context model for context inference of smart phone users in their daily life. We classify high-level context which can be draw from sensing data into three levels, Context-Behavior-Situation, and define inference methods for each level. With our mobile context model, we can user's meaningful context in his/her daily life besides simple actions or states.

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