• Journal of Information Processing Systems
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• v.9 no.1
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• pp.1-30
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• 2013

The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.

• Journal of The Korean Association of Information Education
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• v.5 no.2
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• pp.268-278
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• 2001

This study is design and implementation of diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems. Item response theory uses responses to items on a test or survey questionnaire to simultaneously locate both the items on the latent trait defined by the set of items while simultaneously scaling each item on the very same dimension. Existing method of measurement in web-based instruction system provided dichromatic learning after to be assess just with the total scores of exam. This measurement has an error that do not consider the level of student's knowledge. Moreover, this method can't perform an exact diagnosis of student knowledge and make student modeling to construct intelligent tutoring system. In this study, we present that design and implement a diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.663-668
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• 2008

These days, computing systems need to be intelligent for satisfying general users' ambiguous requests. In order to make a system intelligent, several methods of managing knowledge have been proposed. Especially, in ubiquitous computing environment, where various computing objects are working together for achieving the given goal, ontology can be the best solutionfor knowledge management. In this paper, we proposed a novel reasoner processing ontology-based knowledge which is expressed in EOL. As this EOL reasoner uses less computing resource, it can be easily adapted to various computing objects in ubiquitous computing environment providing easy usability of knowledge.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.249-255
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• 2001

Different kinds of information are used when solving tasks that arise in the life cycle of an applied knowledge based system (KBS). Many of these tasks are still under investigation. Their solving methods are often researched independently of each other due to complexity of the tasks. As a result, systems that realize these methods turn out to be incompatible and therefore could not be used together in the lifecycle of a KBS. The following problem arises here: how to support the full life cycle of a KBS. This paper introduces a class of computer knowledge banks that are intended to support the full life cycle of KBSs. Primary tasks that arise in the full life cycle of a KBS are analyzed. The architecture of a knowledge bank of the introduced class is presented, including an Information Content, a Shell of the Information Content and a Software Content. General requirements on these components are formulated on the basis of the analysis. These requirements depend on the current state of understanding in the life cycle of KBSs.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.548-566
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• 2013

The availability of technology and the abundance of experts in universities create an ample opportunity to provide a venue that allows a knowledge seeker to easily connect with and request advice from university experts. On the other hand, outsourcing provides opportunities and remains one of the emerging trends in organizations, and can very clearly observed in the Philippines. This paper describes the development of a reliable web-based approach to Knowledge Product Outsourcing (KPO) services in the Silliman Online University Learning system. The system is called an "e-Knowledge Box."It integrates Web 2.0 technologies and mechanisms, such as instant messaging, private messaging, document forwarding, video conferencing, online payments, net meetings, and social collaboration together into one system. Among the tools used are WAMP Server 2.0, PHP, BlabIM, Wordpress 3.0, Video Whisper, Red5, Adobe Dreamweaver CS4, and Virtual Box. The proposed system is integrated with the search engine in URLs, Web feeds, email links, social bookmarking, search engine sitemaps, and Web Analytics Direct Visitor Reports. The site demonstrates great web usability and has an excellent rating in functionality, language and content, online help and user guides, system and user feedback, consistency, and architectural and visual clarity. Likewise, the site was was rated as being very good for the following items: navigation navigation, user control, and error prevention and correction.

• Nutrition Research and Practice
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• v.10 no.1
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• pp.99-107
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• 2016

BACKGROUND/OBJECTIVE: Competent renal dietitians are crucial for better patient compliance and clinical outcomes, specifically in critical settings. The aim of this study was to develop and evaluate an evidence-based course in renal dietetics for dietitians working in health care systems where dietetic specialization is absent. SUBJECTS/METHODS: Fifteen licensed dietitians working with hemodialysis patients in Lebanon were randomly recruited to participate in the course. The latter was developed by the study's primary investigator, according to evidence-based practice guidelines, and focused on all aspects of renal nutrition. Total course duration was 28 hours spread over a 2 month period. Dietitians' knowledge in renal nutrition was tested pre- and post-training through a 23-item questionnaire; the total score was expressed in percentage (< 60% score indicated insufficient knowledge). Paired-samples t test was used for statistical analysis. RESULTS: Overall knowledge of the dietitians significantly improved post-training and reached satisfactory levels (pre: $38.75{\pm}17.20%$, post: $62.08{\pm}21.85%$). Sub-analysis of the change in the knowledge showed significant and satisfactory improvement only in 3 topics: 1) correct body weight use in calculations, 2) energy estimation method and 3) phosphorus management. Knowledge in the fluid management significantly improved but did not achieve a satisfactory level. CONCLUSION: The course significantly improved dietitians' knowledge in renal nutrition. If adopted as part of the continuing education of dietitians in countries that lack dietetic specializations, it may serve the first step towards improving health care practice.

• Management & Information Systems Review
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• v.33 no.1
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• pp.99-118
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• 2014

This study is a product launch strategy Preannouncing companies associated with temporal distance( in the near future/ distant future) and prior knowledge level(high knowledge/ low knowledge), the memory - based judgments(Global product judgment/ Discrete product judgment) and the purchase intention appears, the difference between the empirical verification of what was discriminatory. The study, first, Preannouncing main effect of temporal distance on judgments remember the difference between the purchase intention and consistent global product judgment is more discrete product judgment were higher awareness, purchase intention is higher. Second, Preannouncing high level of product knowledge in global product judgment showed that compared to discrete product judgment. In addition, low levels of knowledge than a discrete product judgment that global product judgment and purchase intention shown that a high level of consumer knowledge through systematic information processing and the road leads to higher purchase attitude. Third, Preannouncing according to the temporal distance and level of knowledge about the interaction effect results in the near future in terms of the high level of knowledge consumers global product judgment was higher than the discrete product judgment. On the other hand, a low level of knowledge of conditions in the distant future, consumers are more discrete product judgment recognized global product judgment showed that high.

• The Transactions of the Korea Information Processing Society
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• v.5 no.3
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• pp.662-670
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• 1998

In order to overcome the problems with first generation expert systems at the symbol level, recently various knowledge level development techniques of second generation expert systems have been proposed. But, these techniques are conceptual modelling techniques. This paper modifies and complements these conceptual modelling techniques and proposes a Task Object Modelling (TOM) technique as a practical knowledge level expert system development technique. This paper defines a Task Object(TO) as a knowledge unit consisted of a goal, execution conditions, behaviour knowledge, and so on. And, we define a Task Object Diagram(TOD) to depict structual, dynamic, and functional aspects of TO easily. We also define Inference Types as basic units to describe behaviour knowledge of TOs. In order to utilize the proposed TOM technique as not a simple conceptual modelling technique but a practical second generalion expert system development technique, we implement a TOD editor, a TO editor, and TO processing algorithm based on the state of TOs. Also we implement a Inference Types Library, in which each inference type is corresponded to an IRE(Jntelligent Rules Element) method, to transform the defined inference types into IRE methods automatically.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.691-708
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• 2014

This paper formalizes a special type of social networking knowledge, which is called "workflow performer-role affiliation networking knowledge." A workflow model specifies execution sequences of the associated activities and their affiliated relationships with roles, performers, invoked-applications, and relevant data. In Particular, these affiliated relationships exhibit a stream of organizational work-sharing knowledge and utilize business process intelligence to explore resources allotting and planning knowledge concealed in the corresponding workflow model. In this paper, we particularly focus on the performer-role affiliation relationships and their implications as organizational and business process intelligence in workflow-driven organizations. We elaborate a series of theoretical formalisms and practical implementation for modeling, discovering, and visualizing workflow performer-role affiliation networking knowledge, and practical details as workflow performer-role affiliation knowledge representation, discovery, and visualization techniques. These theoretical concepts and practical algorithms are based upon information control net methodology for formally describing workflow models, and the affiliated knowledge eventually represents the various degrees of involvements and participations between a group of performers and a group of roles in a corresponding workflow model. Finally, we summarily describe the implications of the proposed affiliation networking knowledge as business process intelligence, and how worthwhile it is in discovering and visualizing the knowledge in workflow-driven organizations and enterprises that produce massively parallel interactions and large-scaled operational data collections through deploying and enacting massively parallel and large-scale workflow models.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.49-63
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• 2003

This paper proposes and implements a tool for the development of efficient and reliable expert system. In the expert system the inference is executed, based on the knowledges stored in the knowledge base of specific domain. To acquire the reliable results of inference, the expert system requires the facilities which can access the various kinds of knowledge and maintain the consistency and accuracy of knowledge. In this context this paper implemented the knowledge management system which maintains the consistency and accuracy of knowledge, adding selectively the knowledges without error to the knowledge base by verifying their error before the knowledges are added to the knowledge base. At the same time this paper made the expert system call and use the procedural knowledge and the declarative knowledge in the data base so that it might use the various kinds of knowledge in the process of inference.