• Asia pacific journal of information systems
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• 제14권3호
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• pp.121-144
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• 2004

Developing a personalized system on a user's behalf which is working around the Internet-based marketplace is one of the challenging issues in intelligent e-business, especially mobile commenrce. It has been highly recommended that such a mobile personalized system has to perceive the user's needs a priori by tracking user's current context such as location with activity and then to identify the current needs dynamically and proactively. Automatically and unobtrusively getting user's context is an inevitable feature for the development of autonomous mobile commenrce. However, personalization methodologies and their feasible architectures for context-aware mobile commerce have been so far very rare. Hence, this paper aims to propose a context-aware mobile commerce development methodology by applying agent and semantic web technologies for personalized reminder system, which is one of the mobile commerce support system. We revisited associationism to understand a buyer's need identification process and adopt the process as 'purchase based on association' to implement a personalized reminder system. Based on this approach, we have showed how the agent-based semantic web service system can be used to realize need-aware reminder system. NAMA(Need-Aware Multi-Agent), a prototype system, has been implemented to show the feasibility of the methodology and framework under mobile setting proposed in this paper. NAMA embeds bluetooth-based location tracking module and identify what a user is currently looking at through her/his mobile device such as PDA. Based on these capabilities, NAMA considers the context, user profile with preferences, and information about currently available services, to aware user's current needs and then link her/him to a set of services, which are implemented as web services.

• Journal of Genetic Medicine
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• 제5권2호
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• pp.89-93
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• 2008

"Personalized medicine," the goal of which is to provide better clinical care by applying patient's own genomic information to their health care is a global challenge for the $21^{st}$ century "genomic era." This is especially true in Korea, where provisions for clinical genetic services are inadequate for the existing demand, let alone future demands. Genomics-based knowledge and tools make it possible to approach each patient as a unique biological individual, which has led to a paradigm-shift in medical practice, giving it more of a predictive focus as compared with current treatment oriented approach. With recent advancements in genomics, many genetic tests, such as susceptibility genetic tests, have been developed for both rare single gene diseases and more common multifactorial diseases. Indeed, genetic tests for presymtomatic individuals and genetic tests for drug response have become widely available, and personalized medicine will face the challenge of assisting patients who use such tests to make appropriate and wise use of genetic risk assessment. A major challenge of genomic medicine lies in understanding and communicating disease risk in order to facilitate and support patients and their families in making informed decisions. Establishment of a health care system with provisions for genetic counseling as an integral part of health care service, in addition to genomic literacy of health care providers, is vital to meet this growing challenge. Realization of the promise of personalized medicine in the era of genomics for improvement of health care is dependent on further development of next generation sequencing technology and affordable sequencing test costs. Also necessary will be policy development concerning the ethical, legal and social issues of genomic medicine and an educated and ready medical community with clinical practice guidelines for genetic counseling and genetic testing.

• 대한두경부종양학회:학술대회논문집
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• 대한두경부종양학회 2009년도 추계학술대회 논문집
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• pp.190-190
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• 2009

• Journal of Multimedia Information System
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• 제4권3호
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• pp.123-144
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• 2017

Personalized media includes user-targeted and user-generated content (UGC) exchanged through social media and interactive applications. The increased consumption of UGC presents challenges and opportunities to multimedia information systems. We work towards modeling a deep structure for content networks. To gain insights, a hybrid practice with Media Framework (MF) is presented for network creation of personalized media, which leverages the authoring methodology with user-generated semantics. The system's vertical integration allows users to audition their personalized media networks in the context of a global system network. A navigation scheme with dynamic GUI shifts the interaction paradigm for content query and sharing. MF adopts a multimodal architecture anticipating emerging use cases and genres. To model diversification of platforms, information processing is robust across multiple technology configurations. Physical and virtual networks are integrated with distributed services and transactions, IoT, and semantic networks representing media content. MF applies spatiotemporal and semantic signal processing to differentiate action responsiveness and information responsiveness. The extension of multimedia information processing into authoring enables generating interactive and impermanent media on computationally enabled devices. The outcome of this integrated approach with presented methodologies demonstrates a paradigmatic shift of the concept of UGC as personalized media network, which is dynamical and evolvable.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.243-263
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• 2020

Purpose The purpose of this study is to analyze the causal relationship between user satisfaction, expected satisfaction, quality of service, perceived value, and expertise that should be emphasized in personalized medical information services for the development of personalized medical information services based on big data analysis and the spread of their demand. Design/methodology/approach This study established research models and hypotheses on the basis of the theory of reuse intent, and applied the PLS methodology for analysis, the factors that make it applicable to personalized medical services in the theory of service quality and satisfaction. Findings According to the empirical analysis result, this study confirmed that it can be seen that the expertise, perceived value, and quality of medical services did not directly affect the user's intention to reuse, but formed a direct causal relationship through variables such as whether they met expectations.

• 철학연구
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• 제145권
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• pp.71-90
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• 2018

본 본문은 자기추적기술을 기반으로 하는 정밀의료 시대에 자율성 존중 논의를 본격적으로 하기 전에, 존중의 대상이 되는 자율성 개념, 즉 협의생명의료윤리적 자율성과 관계적 자율성을 검토하는 것이 그 목적이다. 먼저 협의의 생명의료윤리적 자율성(narrow bioethical autonomy)으로 규정되는 탐 비첨(Tom Beauchamp)과 제임스 췰드리스(James Childress)가 제시하는 자율성 논의를 검토를 통해서, 자율성 개념의 범위를 확장할 필요성이 있음을 밝힐 것이다. 그런 다음에 협의의 자율성 보다 확장된 광의 자율성으로써 관계적 자율성이 새로운 상황에서 윤리적 지침을 형성하는 대상으로 적합한 자율성 개념임을 제시하고자 한다.

• 한국콘텐츠학회논문지
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• 제10권6호
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• pp.18-26
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• 2010

사용자 선호에 따라 적합한 정보를 제공해 주는 개인화서비스에 대한 많은 연구와 개발이 진행되어왔다. 특히 푸시서비스는 사용자의 적극적인 요구가 없더라도 사용자가 관심 있어 할만한 정보를 제공함으로써 사용자의 잠재요구를 충족시켜준다는 측면에서 경제적 효과가 클 것으로 예상되고 있다. 본 논문에서는 이러한 푸시서비스의 성능을 향상시키기 위한 방법으로 시맨틱웹 기반 푸시서비스 기법을 제안한다. 제안방법은 서비스의 콘텐츠 정보와 사용자의 선호정보를 각 서비스의 특성을 반영하는 서비스 온톨로지 상에서 기술되어지도록 함으로써, 의미적 연관성을 기반으로 콘텐츠를 추천할 수 있는 기반구조를 제공한다. 또한 시맨틱웹 기반 푸시서비스 시스템은 제안방법에 의해 기술된 정보를 기반으로 사용자에게 적합한 콘텐츠를 추천하는 기능을 제공한다. 제안방법은 기존 연구들에 비해 콘텐츠 정보 및 사용자 선호정보를 기술함에 있어 풍부한 표현이 가능하고, 의미적인 상호운용성을 제공한다는 장점이 있다.

• 한국정보통신학회논문지
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• 제15권5호
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• pp.1097-1104
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• 2011

본 논문에서는 개인 맞춤 도서 추천을 위한 시맨틱웹 접근방법을 제안한다. 제안방법은 콘텐츠 기반 추천을 이용하면서도 사용자가 모든 도서 검색 시스템에 자신의 관심분야를 등록해야 하는 단점을 개선한다. 제안방법은 다양한 서지정보제공자의 도서분류 온톨로지상에서 자신의 관심분야를 등록할 수 있게 함으로써 사용자 프로파일을 공유한다. 또한 사용자 프로파일 관리 시스템은 제안방법에 의해 작성된 사용자 프로파일을 관리하고, 사용자의 관심분야와 도서분류 온톨로지상의 각 개념과의 유사성을 분석하는 기능을 제공한다. 제안방법은 사용자 프로파일의 공유를 통해 기존 키워드 검색에 비해 더 향상된 효율성을 제공한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권2호
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• pp.122-129
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• 2014

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

• Journal of Information Technology Applications and Management
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• 제12권4호
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• pp.45-57
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• 2005

In order to provide personalized knowledge recommendation services, most web portals for organizational knowledge management use category or keyword information that portal users explicitly express interests in. However, it is usually difficult to collect correct preference data for all users with this approach, and, moreover, users' preferences may easily change over time, which results In outdated user profiles and impaired recommendation qualify. In order to address this problem, this paper suggests knowledge recommendation methods for portals using user profiles that are automatically constructed from users' activities such as posting or uploading of articles and documents. The result of our experiment shows that the Proposed method can provide equivalent performance with the manual category or keyword selection method.