• Title/Summary/Keyword: textual knowledge

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ESL Students' Narratives of Writing Process: Multiplicity and Sociocultural Aspects

  • Kim, Ji-Young
    • English Language & Literature Teaching
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    • v.17 no.1
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    • pp.125-146
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    • 2011
  • Within a framework of sociocultural approaches to writing process, this study examined six ESL graduate students' writing processes in depth based on individual interviews and their narratives of writing process. The narratives and interviews were analyzed to discover salient aspects of the students' writing processes and to understand the socially situated nature of the writing processes. First, it was observed that these six students displayed multiplicity in terms of their representations of writing process, episodes, textual practices, and concerns. Several factors including the writing task, students' familiarity with genre, literacy skills, attitude toward writing, and involvement in interaction contributed to individualized trajectories of writing process. It was also revealed that writing is unavoidably a socially situated practice. Students were situated in their cultural arenas as well as their disciplinary arenas, and these contexts helped the students serve as active agents producing and sharing knowledge. The confluence of personal, cognitive, and social factors observed in their writing processes suggests that writing process should be understood from multiple perspectives.

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Meeting Real Challenges in Eliciting Security Attributes for Mobile Application Development

  • Yusop, Noorrezam;Kamalrudin, Massila;Yusof, Mokhtar Mohd;Sidek, Safiah
    • Journal of Internet Computing and Services
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    • v.17 no.5
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    • pp.25-32
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    • 2016
  • There has been a rapid growth in the development of mobile application resulting from its wide usage for online transaction, data storage and exchange of information. However, an important issue that has been overlooked is the lack of emphasis on the security issues at the early stage of the development. In fact, security issues have been kept until the later stage of the implementation of mobile apps. Requirements engineers frequently ignore and incorrectly elicit security related requirements at the early stage of mobile application development. This scenario has led to the failure of developing secure and safe mobile application based on the needs of the users. As such, this paper intends to provide further understanding of the real challenges in extracting security attributes for mobile application faced by novice requirements engineers. For this purpose, two experiments on eliciting security attributes requirements of textual requirements scenario were conducted. The performance related to the correctness and time taken to elicit the security attributes were measured and recorded. It was found that the process of eliciting correct security attributes for mobile application requires effort, knowledge and skills. The findings indicate that an automated tool for correct elicitation security attributes requirement could help to overcome the challenges in eliciting security attributes requirements, especially among novice requirements engineers.

The Contribution of The Research on "Somunchajujipso(素問次注集疏)" and "Somun(素問)" ($\ll$소문차주집소(素問次注集疏)$\gg$ 대(對) $\ll$소문(素問)$\gg$ 연구적공헌(硏究的貢獻))

  • Guo, Xiu-Mei
    • Journal of Korean Medical classics
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    • v.22 no.4
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    • pp.51-54
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    • 2009
  • While we study the book "Somun(素問)", we have to take Wangbing(王冰) Note as reference, which has to be understood by later generation on reading the book Sin-gyojeong(新校正) of Imeok(林億) from Song dynasty. At the final period of Edo in Japan, the famous Han medical expert, Yamada(山田) Gyoukou(業廣) sought a complete new way to compile a book named "Somunchajujipso(素問次注集疏)", a notes and commentaries work combined the original text of "Somun(素問)", Wangbing(王冰) Note and Sin-gyojeong(新校正) by taking the reference of generations medical books and notes both China and Japan. There have been many books to give notes on "Somun(素問)" in many generations, but less of them giving notes to the original text, but to Wangbing Note a little bit at most. In "Somunchajujipso", textual research and notes are given as a special example to the forward, original text and explanation part of "Somun", Song dynasty edition. Especially the detail explanation to the forward part of Imeok(林億), no one has done better than Gyoukou(業廣) until now. It sufficiently shows Gyoukou's(業廣) enriched knowledge accumulated by years hard research in Confucian classics, history and medical books, which enable it a worthy reference statement. The issued of the book "Somunchajujipso(素問次注集疏)" expands a new area for the research of "Somun" and present new research improvement of "Somun" in Japan.

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Topic Level Disambiguation for Weak Queries

  • Zhang, Hui;Yang, Kiduk;Jacob, Elin
    • Journal of Information Science Theory and Practice
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    • v.1 no.3
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    • pp.33-46
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    • 2013
  • Despite limited success, today's information retrieval (IR) systems are not intelligent or reliable. IR systems return poor search results when users formulate their information needs into incomplete or ambiguous queries (i.e., weak queries). Therefore, one of the main challenges in modern IR research is to provide consistent results across all queries by improving the performance on weak queries. However, existing IR approaches such as query expansion are not overly effective because they make little effort to analyze and exploit the meanings of the queries. Furthermore, word sense disambiguation approaches, which rely on textual context, are ineffective against weak queries that are typically short. Motivated by the demand for a robust IR system that can consistently provide highly accurate results, the proposed study implemented a novel topic detection that leveraged both the language model and structural knowledge of Wikipedia and systematically evaluated the effect of query disambiguation and topic-based retrieval approaches on TREC collections. The results not only confirm the effectiveness of the proposed topic detection and topic-based retrieval approaches but also demonstrate that query disambiguation does not improve IR as expected.

Effect of Organizational Culture on Corporate Social Welfare Activities

  • JEONG, Young Joo;CHOI, Moon Kyung
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.4
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    • pp.43-54
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    • 2021
  • Purpose - Stakeholders play a vital part in the company's CSR activities and they are part of the company's achievement and affect the company's achievement or business objectives. This study aims to add insight into the already existing knowledge how the organizational culture can promote corporate social welfare activities. Research design, Data, and methodology - The current authors obtained text data for the possible practical suggestions which might be used for the creation of coding method. That implies that the present author investigated only trustable textual sources to provide for the possible solutions such as peer-revied sources and published book. Result - Research results indicated that organizational culture promotes corporate social welfare activities by making people know their values and understand how they come about. Not every community knows what its members want and how to achieve its needs. Sometimes, a community can obtain the values and principles of an organization and incorporate them into community values. Conclusion - Executive leadership and customers are part of society. Any strategy that influences their operation and works ethic influences the contact of the community. This research found methods vital in setting up an excellent culture that enhances profitability and the corporate social welfare activities through motivation and communication.

Research trends in the Korean Journal of Women Health Nursing from 2011 to 2021: a quantitative content analysis

  • Ju-Hee Nho;Sookkyoung Park
    • Women's Health Nursing
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    • v.29 no.2
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    • pp.128-136
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    • 2023
  • Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women." Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.

AUTOMATED HAZARD IDENTIFICATION FRAMEWORK FOR THE PROACTIVE CONSIDERATION OF CONSTRUCTION SAFETY

  • JunHyuk Kwon;Byungil Kim;SangHyun Lee;Hyoungkwan Kim
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.60-65
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    • 2013
  • Introducing the concept of construction safety in the design/engineering phase can improve the efficiency and effectiveness of safety management on construction sites. In this sense, further improvements for safety can be made in the design/engineering phase through the development of (1) an automated hazard identification process that is little dependent on user knowledge, (2) an automated construction schedule generation to accommodate varying hazard information over time, and (3) a visual representation of the results that is easy to understand. In this paper, we formulate an automated hazard identification framework for construction safety by extracting hazard information from related regulations to eliminate human interventions, and by utilizing a visualization technique in order to enhance users' understanding on hazard information. First, the hazard information is automatically extracted from textual safety and health regulations (i.e., Occupational Safety Health Administration (OSHA) Standards) by using natural language processing (NLP) techniques without users' interpretations. Next, scheduling and sequencing of the construction activities are automatically generated with regard to the 3D building model. Then, the extracted hazard information is integrated into the geometry data of construction elements in the industry foundation class (IFC) building model using a conformity-checking algorithm within the open source 3D computer graphics software. Preliminary results demonstrate that this approach is advantageous in that it can be used in the design/engineering phases of construction without the manual interpretation of safety experts, facilitating the designers' and engineers' proactive consideration for improving safety management.

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A Knowledge-based Model for Semantic Oriented Contextual Advertising

  • Maree, Mohammed;Hodrob, Rami;Belkhatir, Mohammed;Alhashmi, Saadat M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2122-2140
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    • 2020
  • Proper and precise embedding of commercial ads within Webpages requires Ad-hoc analysis and understanding of their content. By the successful implementation of this step, both publishers and advertisers gain mutual benefits through increasing their revenues on the one hand, and improving user experience on the other. In this research work, we propose a novel multi-level context-based ads serving approach through which ads will be served at generic publisher websites based on their contextual relevance. In the proposed approach, knowledge encoded in domain-specific and generic semantic repositories is exploited in order to analyze and segment Webpages into sets of contextually-relevant segments. Semantically-enhanced indexes are also constructed to index ads based on their textual descriptions provided by advertisers. A modified cosine similarity matching algorithm is employed to embed each ad from the Ads repository into one or more contextually-relevant segments. In order to validate our proposal, we have implemented a prototype of an ad serving system with two datasets that consist of (11429 ads and 93 documents) and (11000 documents and 15 ads), respectively. To demonstrate the effectiveness of the proposed techniques, we experimentally tested the proposed method and compared the produced results against five baseline metrics that can be used in the context of ad serving systems. In addition, we compared the results produced by our system with other state-of-the-art models. Findings demonstrate that the accuracy of conventional ad matching techniques has improved by exploiting the proposed semantically-enhanced context-based ad serving model.

Human Action Recognition Using Pyramid Histograms of Oriented Gradients and Collaborative Multi-task Learning

  • Gao, Zan;Zhang, Hua;Liu, An-An;Xue, Yan-Bing;Xu, Guang-Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.2
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    • pp.483-503
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    • 2014
  • In this paper, human action recognition using pyramid histograms of oriented gradients and collaborative multi-task learning is proposed. First, we accumulate global activities and construct motion history image (MHI) for both RGB and depth channels respectively to encode the dynamics of one action in different modalities, and then different action descriptors are extracted from depth and RGB MHI to represent global textual and structural characteristics of these actions. Specially, average value in hierarchical block, GIST and pyramid histograms of oriented gradients descriptors are employed to represent human motion. To demonstrate the superiority of the proposed method, we evaluate them by KNN, SVM with linear and RBF kernels, SRC and CRC models on DHA dataset, the well-known dataset for human action recognition. Large scale experimental results show our descriptors are robust, stable and efficient, and outperform the state-of-the-art methods. In addition, we investigate the performance of our descriptors further by combining these descriptors on DHA dataset, and observe that the performances of combined descriptors are much better than just using only sole descriptor. With multimodal features, we also propose a collaborative multi-task learning method for model learning and inference based on transfer learning theory. The main contributions lie in four aspects: 1) the proposed encoding the scheme can filter the stationary part of human body and reduce noise interference; 2) different kind of features and models are assessed, and the neighbor gradients information and pyramid layers are very helpful for representing these actions; 3) The proposed model can fuse the features from different modalities regardless of the sensor types, the ranges of the value, and the dimensions of different features; 4) The latent common knowledge among different modalities can be discovered by transfer learning to boost the performance.

Study of Gyeongbosinpyeon, a Late Joseon Medical Records (조선 후기 의안(醫案) 『경보신편(輕寶新編)』 연구)

  • Jeon, Jongwook
    • Journal of Korean Medical classics
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    • v.30 no.1
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    • pp.185-209
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    • 2017
  • Objectives : The objective of this paper is to review the healing processes employed in the traditional age and discover the unique features found in the Korean Medicine through categorizing and analyzing the distribution of patients, and the aspects and results of treatments as recorded in Gyeongbosinpyeon, a historical text thought to have been authored by a regional doctor active in Joseon during the mid- to late-19th century. Methods : A table is created to view all of the total of 141 medical records introduced in the Gyeongbosinpyeon, and 7 categories were created to each contain 2 to 3 medical records that have special images. The paper provides their translation texts along with the original texts, and analyzed their medical and social significances by comparing each medical record. Results : The clinical competence displayed by the doctor who had worked in Joseon during the 19th century was surprisingly high, and it seems its values are worthy of dissemination when compared with Yeogsimanpil that has been introduced to the world. There is a great significance in how the principle of holistic treatments, the fundamental aspect of Joseon's medical study, was adhered. Additionally, the parts that show the historical text's author's medical activities and their unique characteristics are also worthy of attention. Conclusions : Korean medicine possesses a remarkable text called Donguibogam, but clinical behaviors' successes are not guaranteed solely with textual knowledge. It can be witnessed that such texts of authority and such medical records that have recorded actual activities complement each other in order to improve the quality of Joseon's study of medicine.