Keedong Yoo

Knowledge flow‐based business process redesign: applying a knowledge map to redesign a business process

Purpose – The aim of this paper is to suggest a method to redesign business processes from the viewpoint of knowledge flows using a knowledge map.Design/methodology/approach – Knowledge flows and business processes cannot be separated because knowledge is inputted and outputted through business processes. Knowledge flows inherit the feature and appearance of corresponding business processes; therefore, one can identify problems within business processes by analyzing corresponding knowledge flows. The methodology is composed of the following sections: knowledge mapping, knowledge profiling, knowledge flow identification, knowledge flow optimization and TO‐BE process visualization.Findings – This paper provides a methodology for knowledge flow‐based business process redesign and ten guidelines for knowledge flow optimization. The case study demonstrates that the proposed ideas constitute knowledge‐intensified business processes.Research limitations/implications – A more formal validation method that is base...

Packet-based context aware system to determine information system user's context

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, users 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 users demand. Also, inference algorithm which is integrated with the acquired users 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.

A study of context inference for Web-based information systems

Recently, context-awareness has been a hot topic in the ubiquitous computing field. Numerous methods for capturing, representing and inferring context have been developed and relevant projects have been performed. Existing research has tried to determine users contextual information physically by using stereo type cameras, RFID, smart devices, etc. These are heavily focusing on external context such as location, temperature, light, etc. However, cognitive elements of the context are important and need more study. This paper confines its research domain to the Web-based information system (IS) and, first, proposes two algorithms, the context inference algorithm and the service recommendation algorithm, for inferring cognitive context in the IS domain. Second, this paper demonstrates cognitive context-awareness on the Web-based information systems through implementing prototype deploying the proposed algorithms. The proposed system deploying the context inference and service recommendation algorithm can help the IS user to work with an IS conveniently and enable an existing IS to deliver ubiquitous service. In this fashion, we show the direction of existing IS and, ultimately, shows the typical services of a ubiquitous computing-based IS.

ubiES: Applying ubiquitous computing technologies to an expert system for context-aware proactive services

Abstract Expert systems are originally designed to generate feasible alternatives in an automated manner. Users expect these systems to help them proactively and intelligently make decisions by automatically detecting users’ various context data. However, conventional expert systems seldom automatically refer to context data, which is 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 ubiquitous computing technologies. To do so, we propose an amended expert systems paradigm, context–knowledge–dialogue–data (CKDD). Under the CKDD paradigm, we construct the framework of a ubiquitous computing technology-based expert system (ubiES), with the description of the subsystems within. To show the feasibility of the ubiES framework proposed in this paper, a prototype system, context-aware multi-agent system-my optimization (CAMA-myOpt), has been implemented in PDA-based proactive services area such as context-aware comparative shopping.