• Journal of the Korean Society for information Management
• /
• v.32 no.2
• /
• pp.87-103
• /
• 2015

It is useful to find something valuable for researching through literature based discovery. Swanson's ABC model, known as literature based discovery, suggests the relationship between entities undiscovered yet. This study tries to find the valid relationship between entities by referring to citation which connects articles on similar topic. We collect citation from references in articles, and extract important concepts in titles and abstracts through text mining techniques. We reproduce the relationship between fish oil and Raynaud's disease, which is known as one of Swanson's works, and compare the results with entities identified from traditional approach.

• Journal of Korean Classical Literature and Education
• /
• no.33
• /
• pp.83-120
• /
• 2016

This discussion presents the results obtained from the implementation of a self-discovery career program using photo diaries and picture books. The program was conducted with 34 college students in 2015 during the 2nd semester of the liberal arts class. The program guided college students, who are faced with career decisions before employment, with information that helped them to understand their individual characteristics. Therefore, they could identify the jobs they aspired for or would be successful in based on that information. At this time, we believed that literature that is based on the essence of human life would be helpful. As a result, college students understood their personality type through the 1 st, 2nd, and 3rd stages of the self-development process and recognized the aspects of themselves which they had previously misunderstood, which they did not know, and which they already knew. This aided them in their career exploration. Therefore, the results showed that although self-discovery career programs based on literature are in their nascent stage, they facilitate college students in their career exploration.

• Journal of the Korean Society for information Management
• /
• v.31 no.1
• /
• pp.231-250
• /
• 2014

Due to the recent development of Information and Communication Technologies (ICT), the amount of research publications has increased exponentially. In response to this rapid growth, the demand of automated text processing methods has risen to deal with massive amount of text data. Biomedical text mining discovering hidden biological meanings and treatments from biomedical literatures becomes a pivotal methodology and it helps medical disciplines reduce the time and cost. Many researchers have conducted literature-based discovery studies to generate new hypotheses. However, existing approaches either require intensive manual process of during the procedures or a semi-automatic procedure to find and select biomedical entities. In addition, they had limitations of showing one dimension that is, the cause-and-effect relationship between two concepts. Thus;this study proposed a novel approach to discover various relationships among source and target concepts and their intermediate concepts by expanding intermediate concepts to multi-levels. This study provided distinct perspectives for literature-based discovery by not only discovering the meaningful relationship among concepts in biomedical literature through graph-based path interference but also being able to generate feasible new hypotheses.

• Journal of Korean Library and Information Science Society
• /
• v.45 no.3
• /
• pp.415-440
• /
• 2014

This study intends to make a comprehensive inquiry into the meaning and limitations of Discovery, and to explore how to make full use of Discovery in library cataloging. To this end, first discussed is the meaning of Discovery, which has a variety definitions. For the quality evaluation, 5 criteria were developed on the basis of literature review. Then this study conducted the quality evaluation on the basis of previously developed 5 criteria and usefulness of Discovery in library catalogs is thoroughly discussed. Based on these, the final discussion includes strategies for Korean LIS scholars and library practitioners to consider when applying Discovery as an integrated search tool.

• English Language & Literature Teaching
• /
• v.17 no.3
• /
• pp.27-56
• /
• 2011

The analysis on the use of lexical discovery and consolidation strategies that have been researched within the area of vocabulary learning strategies (VLS) have not sufficiently drawn the interest of EFL practitioners with regard to vocational high school learners. The results, however, are expected to have implications for the design of vocabulary tasks and instructional materials for EFL learners. The present study investigates EFL vocational high school learners' use of lexical discovery and consolidation strategies with questionnaires, where the use of the learners' lexical discovery strategies were further validated with the think-aloud methodology by asking samples of proficient and less proficient learners to report on their reading process while reading L2 texts that had not been exposed to the learners. The results indicated that there were significant differences between the two groups of learners in the employment of 11 of the strategies which were in the categories of determination, social, memory, and metacognitive strategies, but not for cognitive strategies. The pattern of strategies indicated that different lexical discovery and consolidation strategies were employed relatively more by one proficiency group than another. The study suggests some implications for how strategy-based instruction can be implemented in EFL classrooms.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.2
• /
• pp.399-417
• /
• 2020

In this study, we tried to analyze the relative importance of features for various functions provided by Discovery. We identified a total of 36 assessment items in five categories including contents, search function, serendipity, interactivity, and ease of use based on literature review. In order to objectively evaluate the relative importance of each evaluation element, an AHP technique was adopted. As a result, 'Easy of use' received the highest weighted value among the five categories, followed by 'contents', 'search function', 'interactivity', and 'serendipity'. In addition, among all the 36 assessment items, 'Quality of data for central index' had higher weighted value. These findings can be used as basic data to adopt a discovery tool for libraries.

• Cross-Cultural Studies
• /
• v.37
• /
• pp.81-107
• /
• 2014

Freud's' discovery of the unconscious' is a great revolution. Because of this, human beings were able to get the opportunity to look into their inner than honest. Lu Xun and Guo Mo Ruo a pair of realism and romanticism literature representative of Chinese modern literature writers. They then absorb the psychoanalytic theory o Freud along with other Western zeitgeist, introduce them widely inliterary theory and creative practice, which was again. Lu Xun was reflected in the human world of the unconscious Freud uncovered on the basis of strict realism literary spirit, Guo Mo Ruo is in accordance with the romantic literary time for the purpose of 'art for art' depicting a man's inner psychological well did. Although Freud spirit they claim to social and literary artistry of literature based on different yarns in the Acceptance of analytical theory, has the characteristics of a common sentiment analysis method to express and describe the unconscious human potential. 5.4 When Lu Xun and Guo Mo Ruo China Journalism writers, including Freud's psychoanalytic theory has embraced the Enlightenment and the old feudal society was a major contribution to want to read exactly what the human inner hearing. Chinese modern literature writers have to accept sometimes positive, sometimes accepting the psychoanalytic theory was intellectually sharp criticism, which could be a great instrument in time to the 5.4 Enlightenment and psychological fiction novel further development.

• Proceedings of the CALSEC Conference
• /
• 2003.09a
• /
• pp.197-203
• /
• 2003

The purpose of the study is to develop an integrated knowledge structuring system for the domain of engineering, in which ontology-based literature mining, knowledge acquisition, knowledge integration, and knowledge retrieval are combined using XML-based tag information and ontology management. The system supports combining different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition and knowledge retrieval from documents through an ontology-based dynamic similarity calculation and a visualization of automatically structured knowledge. Through experimentations we conducted using 100,000 words economic documents reported in the "Go！ Japan" project for analyzing Japanese industrial situation, and 100,000 words molecular biology Papers, we show the system is Practical enough for accelerating knowledge acquisition and knowledge discovery from the information sea.

• Proceedings of the CALSEC Conference
• /
• 2004.02a
• /
• pp.107-111
• /
• 2004

The purpose of the study is to develop an integrated knowledge management system for the domains of genome and nano-technology, in which terminology-based literature mining, knowledge acquisition, knowledge structuring, and knowledge retrieval are combined. The system supports integrating different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition from documents and new knowledge discovery through a terminology-based similarity calculation and a visualization of automatically structured knowledge. Implementation issue of the system is also mentioned.

• Genomics & Informatics
• /
• v.19 no.3
• /
• pp.23.1-23.7
• /
• 2021

Currently, coronavirus disease 2019 (COVID-19) literature has been increasing dramatically, and the increased text amount make it possible to perform large scale text mining and knowledge discovery. Therefore, curation of these texts becomes a crucial issue for Bio-medical Natural Language Processing (BioNLP) community, so as to retrieve the important information about the mechanism of COVID-19. PubAnnotation is an aligned annotation system which provides an efficient platform for biological curators to upload their annotations or merge other external annotations. Inspired by the integration among multiple useful COVID-19 annotations, we merged three annotations resources to LitCovid data set, and constructed a cross-annotated corpus, LitCovid-AGAC. This corpus consists of 12 labels including Mutation, Species, Gene, Disease from PubTator, GO, CHEBI from OGER, Var, MPA, CPA, NegReg, PosReg, Reg from AGAC, upon 50,018 COVID-19 abstracts in LitCovid. Contain sufficient abundant information being possible to unveil the hidden knowledge in the pathological mechanism of COVID-19.