• Information Systems Review
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• v.1 no.1
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• pp.137-163
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• 1999

• International Journal of Knowledge Content Development & Technology
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• v.3 no.2
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• pp.43-65
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• 2013

In this work, we first introduce two main approaches to writing requirements and then propose a method based on Natural Language Processing to improve requirement authoring and the overall coherence, cohesion and organization of requirement documents. We investigate the structure of requirement kernels, and then the discourse structure associated with those kernels. This will then enable the system to accurately extract requirements and their related contexts from texts (called requirement mining). Finally, we relate a first experimentation on requirement mining based on texts from seven companies. An evaluation that compares those results with manually annotated corpora of documents is given to conclude.

• Korean Journal of Community Nutrition
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• v.19 no.2
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• pp.198-211
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• 2014

Objectives: To investigate the use frequency and amount of food sources of sodium and knowledge requirement, and job satisfaction with school food services according to the school types in Busan. Methods: A total of 98 schools were surveyed and knowledge requirement and job satisfaction were assessed using a questionnaire. In addition, the use frequency and amount of food sources of sodium for 10 school days were examined. Results: The response rate of the most difficult area among dietitians' tasks was significantly high in 'nutrition education and counseling' for elementary schools and 'hygiene management' for high schools (p < .05). The response rate of the factors to be considered in meal planning was significantly high in 'energy and nutrients requirement' for elementary schools and 'menu/taste preference of students' for middle and high schools (p < .05). The response rate of whether school food services affect health and eating habits of students or not was significant high in 'very helpful' for elementary schools (p < .001). The average sodium contents in the meals of elementary, middle and high schools was 1981.4 mg/meal/person/day, 1867.3 mg/meal/person/day and 1,329.9 mg/meal/person/day, respectively. For foods in highest sodium, Kimchi, Oribulgogi, and Kare rice were ranked 1st, 2nd and 3rd respectively. The main reason for not providing the fruits was 'price' among all groups. The knowledge requirement such as 'nutrition and menu management', 'nutrition education', and 'nutrition counseling' was significantly higher in elementary school compared with middle and high school (p < .001, p < .01, and p < .01 respectively). The dietitians and nutrition teachers of elementary schools have a higher job satisfaction compared with those of middle schools (p < .01). The job satisfaction was positively correlated with knowledge requirement of dietitians and nutrition teachers of elementary and middle schools. Conclusions: The results suggest that developing dietitians' education program about knowledge requirement contribute to increasing the school food service and job satisfaction in elementary and middle schools.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.193-202
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• 2017

Development of Intelligent Systems involves effective integration of large-scaled knowledge processing and understanding, human-machine interaction, and intelligent services. Especially, in our project for development of a self-growing knowledge-based system with inference methodologies utilizing the big data technology, we are building a platform called WiseKB as the central knowledge base for storing massive amount of knowledge and enabling question-answering by inferences. WiseKB thus requires an effective methodology to analyze diverse requirements convoluted with the integration of various components of knowledge representation, resource management, knowledge storing, complex hybrid inference, and knowledge learning, In this paper, we propose an integrated requirement analysis method that blends the traditional sequential method and the iterative-incremental method to achieve an efficient requirement analysis for large-scale systems.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.2
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• pp.137-150
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• 2013

Purpose: The purpose of this study was to identify the degree of safety education requirement in child daycare center teachers. Method: The data using questionnaire were collected from eight child daycare centers located in Seoul, Gyounggi-Do, and Kwangwon-Do. Final participants were 133 child daycare center teachers. Results: The degree of safety education requirement were as follows: education need of safety knowledge ($4.26{\pm}.50$), safety education need of daycare center ($3.29{\pm}.60$), recognition about safety education training ($3.94{\pm}.58$), and confidence of safety care practice ($2.75{\pm}.43$). There is significant correlation between education need of safety knowledge and safety education need of daycare center (r=.495, p<.001), education need of safety knowledge and recognition about safety education training (r=.555, p<.001), education need of safety knowledge and confidence of safety care practice (r=.201, p=.020), safety education need of daycare center and recognition about safety education training (r=.464, p<.001), and recognition about safety education training and confidence of safety care practice (r=.187, p=.032). Conclusion: On this study, child daycare center teachers' safety education requirement was relatively high. It is recommended that safety education for them should be done for children's healthy life.

• Journal of the Korean Society for Railway
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• v.9 no.3 s.34
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• pp.330-334
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• 2006

To maintain design-knowledge database and manage configuration for requirement of performance tests and safety standards of High Speed Railway(HSR), It is established that management system of performance tests and safety standards and then constructed that design-knowledge database and documented a performance test and safety specifications for supporting performance test and safety system using Model-Based Systems Engineering(MBSE) tool.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4207-4213
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• 2012

Software quality is strongly associated with requirement quality. Accordingly, companies are trying effect for enhancing requirement quality. But, it is difficult to verify the requirement of specification format, which have to rely on abnormal business knowledge of analyst. Also, it is insufficient to normal methodology or automated technique for enhancing requirement quality of specification format. In this paper, we propose the process of requirement verification and automated verification tool for enhancing requirement quality. we compare the external view design and internal view design for verifying requirement. In the case study, we evaluate the feasibility of the proposed automated verification technique of requirement.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.337-338
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• 2006

The requirement to reuse a design knowledge have been enlarged with the automation of a design system. A design knowledge gives logical and technical meanings to design data of a problem area. The representation of the knowledge is distributed and developed independently. For this reason, we need a general methodology with a semantic interoperability of design knowledge. In this paper, we accept previous requirements by using semantic query system with ontology repository.

• Journal of the Korean Society of Food Culture
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• v.15 no.5
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• pp.413-422
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• 2000

This study was undertaken to investigate meal pattern, nutrition knowledge and food preference of 438 rural middle school students living in ChunNam area. As far as nutrition knowledge is concerned, most subjects did not answer correctly on the items of basic five food groups, animal fat and vegetable oil, empty source of soft drink, nutrient requirement and water's role in energy metabolism. However they responded well on the item of iron deficiency and dietary source of Ca. Male students were significantly better in the answering the items of dietary source of energy and nutrient requirement than females, while female students were significantly better on the items of water's role in energy metabolism related to obesity. Generally the respondents did neither consume oil often nor consider consumption of salty food. Furthermore, only 38.6% of subjects drink milk daily in spite of understanding dietary source of Ca, which suggested that they should incorporate nutrition knowledge into dietary behavior. The preferred foods for most subjects were fruit, kimbab and ice cream. Contrastingly the food that they did not prefer was fermented vegetable probably due to strong flavor.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.448-455
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• 2001

Recently, many enterprises have attempted to capitalize knowledge assets on data warehouse (DW). It has been recognized as strategic core process to create corporate competitive advantage and implement enterprise e-biz strategies. However, most approaches to represent knowledge and decision process have limits in considering various knowledge types, their relationships and continuity in knowledge formulation. In addition, they are so inclined to one side such as concept-oriented frameworks or technology-oriented ones. They lack universal and wide-ranging features. This paper presents a comprehensive methodology to accumulate knowledge capital on DW via a properly grained hypermedia model. The methodology consists of three phases: knowledge requirement elicitation, hypermedia modeling, and system implementation. A real-life case for medical DW development is presented to demonstrate the usefulness of the proposed methodology. This methodology is effective when an organization accumulates knowledge assets to put the corporate e-biz or cre-biz strategy into practice.