Knowledge must be acquired not only at the moment when it is presented, but also at the site where it is applied to. To guarantee the immediate acquisition of context-rich knowledge at anytime and ...anywhere, fully-automated as well as pervasive capabilities must be considered together. This paper proposes a methodology to capture knowledge on the spot in an autonomous and pervasive manner by deploying the Smartphone as a sensor to monitor and gather dialogue-based knowledge and context data. Smart-ConKAS (SMARTphone-based CONtextual Knowledge Acquisition System), a prototype system, is implemented to validate the proposed concepts.
최근 4차 산업혁명 기술의 발전에 힘입어 교통시스템은 차량 및 사람의 개별 이동궤적과 관련된 모빌리티 데이터를 대용량으로 산출하고 있다. 개인정보가 포함된 모빌리티 데이터를 활용하는 데에는 많은 제약이 존재하므로, 우리나라는 데이터 3법 개정과 데이터 기본법 제정 을 통해 가명정보의 생성 및 가공과 이에 대한 분석 및 활용을 별도의 기관 및 기술을 적용하 ...여 이원적으로 관리하고 있다. 그러나 이러한 이원적 접근은 데이터 생명주기 전 과정을 안전 하게 지원하지 못할 뿐만 아니라 처리 시간 및 비용 측면의 비효율성의 문제를 갖고 있다. 따 라서 본 연구는, 기존의 결합전문기관과 데이터안심구역이 갖는 문제점을 보완하기 위하여, 모 빌리티 데이터의 생성 및 가공, 그리고 분석 및 활용 과정을 통합 및 일원화한 통합 데이터안 심구역 프레임워크를 제시한다. 즉, 데이터 처리를 위한 통합 프로세스를 재설계하고 공통 요 구사항 및 핵심요소기술을 도출하여 모빌리티 데이터의 생명주기 전체를 원스톱으로 활용, 관 리할 수 있는 차세대형 통합 데이터안심구역 시스템의 아키텍처를 제시한다.
One of the most serious problems that conventional knowledge management (KM) encompasses has been pointed out tardy and ineffective acquisition of knowledge. To resolve this problem, knowledge must ...be autonomously acquired according to its context of use by applying the technique of keyword extraction in machine learning algorithm-based text mining. Once the topic of the given knowledge can be identified in an automated manner, then a set of knowledge can be explicitly stored in a knowledge repository; fully automated acquisition of knowledge can be achieved. This paper, therefore, suggests an amended knowledge acquisition framework, especially focused on the autonomous acquisition of knowledge in ordinary dialogues. The suggested methodology is underpinned by the functionality of the support vector machine (SVM) which was demonstrated to identify the topic of knowledge in the most accurate and efficient way. To validate the feasibility of the proposed concepts, CKAS (Context-based Knowledge Acquisition System), a prototype system, is implemented.
Many industries have deployed expert systems (ESs) to provide support for solving complicated and specialized problems since 1980. Because ESs are originally designed for generating feasible ...alternatives in an automated manner, users, especially decision makers, expect ESs to make decisions proactively and intelligently by automatically detecting users' contextual data. In other words, decision makers require decision support systems (DSSs) to be reinforced with proactive and intelligent ESs that can utilize contextual data. Meanwhile, ubiquitous technology-based applications currently only provide limited personalization services that use the user's context and preferences; in other words, these systems do not fully make use of sophisticated decision making capabilities. Hence, this paper describes how decision making and context-aware computing are jointly used to establish ubiquitous computing technology-based applications. To do so, we propose an amended DSS paradigm, Context-Knowledge-Dialogue-Data-Model (CKDDM). This model describes what may be considered for future DSSs when we regard ubiquitous computing technology as an inevitable effect that changes how decision making decisions are described. Under the CKDDM paradigm, a framework of ubiquitous decision support systems (ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype system, Context-Aware Multi Agent System-My Optimization (CAMA-myOpt) has been implemented as an illustrative example system.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Expert systems are originally designed to generate feasible alternatives in automated manner. The users expect the systems to contribute to make decisions proactively and intelligently by ...automatically detecting the users' various context data. However, conventional expert systems seldom automatically refer to context data, which are indispensable for proactive and intelligent problem solving. Therefore, this paper proposes a method to automatically detect and utilize users' context data for expert systems using the ubiquitous computing technologies. To do so, we propose an amended ES paradigm, CKDDM (Context-Knowledge-Dialogue-Data-Model). Under the CKDDM paradigm, a framework of ubiquitous computing technology-based expert system (ubiES) is addressed with the description of the subsystems within.
Context awareness has been a vital field of ubiquitous computing research. Numerous methods for capturing, interring external context and providing necessary service have been developed and relevant ...projects have been performed. However, user’s internal context is more valuable than the external one. Thus, more searches on internal context are needed. This paper confines its research domain to the internet based information system (IS) in order to infer the internal context of user. For inferring internal context in this IS domain, one of the computer network techniques, packet sniffing technique, is utilized. This is effective and efficient in acquiring the information of the user’s demand. Also, inference algorithm which is integrated with the acquired user’s information is proposed. Furthermore, this paper demonstrates that the prototype system adopts the suggested technique and algorithm in order to prove its validity. The proposed prototype system is the basis of providing IS user with ubiquitous services and enhances the convenience and efficiency during business hour of IS user. In this fashion, this paper presents a new pattern of context acquisition and inference in implementing the ubiquitous computing based-IS along with the direction of internal context awareness research.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
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