Papers by Sompejch Junlabuddee
TLA Research Journal , 2024
The purpose of this study is to examine the research trends published in Khon Kaen Agriculture Jo... more The purpose of this study is to examine the research trends published in Khon Kaen Agriculture Journal (KAJ) from 2013 to 2022 by analysing the most productive authors, affiliations, and most cited articles. This research employed bibliometric analysis methods, including performance analysis, which consists of displaying the number of articles published, authors with a large number of published works, and affiliations of the authors writing the most frequently published research. The VOSviewer was utilized to demonstrate the keyword co-occurrence science mapping and the Looker Studio was used to exhibit analysis and to visualize the results in the form of tables, diagrams, and graphs. According to the findings, there are 990 articles published from 2013 to 2022. There was a consistent increase in the number of publications each year.
Conference Proceeding on The7 th I-LISS International Conference, Jul 24, 2023
This research is a data analytics study using the Topic Modeling method. The data modeling focuse... more This research is a data analytics study using the Topic Modeling method. The data modeling focused on the research trends of webometrics, informetrics, and scientometrics (WIS) published in journals indexed in the Scopus database during the past 10 years (2012-2021). The selection of research articles for analysis was conducted by searching for articles titles, abstracts, and keywords. The search terms used were "webometr* or informetr* or scientometr*". The search results yielded a total of 3,524 articles. Topic modeling approach was conducted which comprised of 3 steps: data layer, Latent Dirichlet allocation (LDA) model layer, and application layer. Findings reveal that (1) WIS research publications-There was a consistent increasing trend in the number of publications each year. Analysis of the article data classified by the country of the authors, show the highest percentage comes from India, followed by China. The top journals that published research articles on WIS were Library Philosophy and Practice, Scientometrics, and Journal of Informetric. (2) WIS research topics-It was found that the model with 10 topics achieved the highest Coherence score. Therefore, the WIS research was grouped into 10 topics: Citation impact-scientometrics; University rankings-webometrics; Scholarly publication's contribution; Health, psychology informetrics; Web user analysis (retrieval, query); Scientific production and development; Research network collaborations; Knowledge analysisscientometrics; Research trends; and Publication performance. And (3) WIS research using topic modeling-There were 530 articles that employed topic modeling which focused on scientometrics, followed by informetrics and webometrics. The WIS research utilizing topic modeling was prevalent in the field of Library and Information Science, as well as in disciplines such as Active Learning, Clinical Medicine, Music Psychology, Life and Natural Sciences, Agricultural Sciences, and Pharmaceutical Effluents. And the popular software and tools used, researchers commonly employed VOS viwer software, CiteSpace, Histcite, Bibexecl, Gephi, SPSS software, STATA software, and Microsoft Excel.
Background The Inclusive Trauma System has a multidisciplinary team of trauma patients such as PT... more Background The Inclusive Trauma System has a multidisciplinary team of trauma patients such as PT and rehabilitation teams to help reduce complications from injuries. Khon Kaen Hospital (Level A) is a center hospital linked to hospitals at level M1, M2, F1 and F2 in 26 districts, but there are limitations in linking the rehabilitation system in trauma patients. Therefore, a prototype of the rehabilitation system in the trauma patients of KK. The application of rehabilitation service model "Transmural Trauma Care Model (TTCM)" 4 parts: 1) receiving and following up on counseling 2) coordination and goal setting by a multidisciplinary team consisting of Trauma surgeon, PT and rehabilitation team in the center hospital with network care 3) Enhancement of specific skills in PTC for PT and rehabilitation team 4) Academic support and IS of clinical data trauma patients. The present study aimed to study the situation of rehabilitation services in injured patients KK, to develop a rehabilitation system in injured patients KK and to study the effect of using the rehabilitation system in trauma patients KK Methods R&Dt study The sample group was trauma surgeons, PT and rehabilitation team 40 cases.The procedures were as follows: Phase 1: Situational analysis 10 years of retrospective TBI, Blunt chest, Blunt abdominal, Focus group and survey the problem of rehabilitation of trauma patients Phase 2: Develop a prototype TTCM; CGP, IT and Annual Report. It will be applied to hospitals at the M1 and F1 levels. Phase 3, the evaluation is the last step. Result TBI, Blunt chest, Blunt abdominal, mostly male, mild TB(90.68%)I, severe TBI(9.09%), moderate TBI(0.22%), some patients had airway problems and splints consult PT(Moderate TBI, Severe TBI Exercise, Teach relatives),Nurse(Mild, Severe Wound dressing and respiratory care), OT, PO, ST (speech training, perception training and splint) development of rehabilitation system in trauma patients, KK province by model TTCM and CPG, KPI, good-very good Conclusion and suggestion There has been a continuous develop a system to link information on trauma patients using the IMC@Khon Kaen with N-Refer program and the KPI (Annual Report) in Phase 2 to assess outcome and impact.
Journal of Mekong Societies, 2021
Most research data in the modern world are in digital format, and there is therefore a need to de... more Most research data in the modern world are in digital format, and there is therefore a need to develop high-efficiency tools that can provide access to and an understanding of these data. Computerization technology based on natural language processing with a capacity for topic extraction and categorization would enable us to identify new topics and future directions for research in several fields of study. The aim of this research was to analyze and categorize information science research data obtained from journals listed in an international database between 2013 and 2019. The research methodology applied here was data analysis based on the topic modeling method, a technique used to locate word groups or topics from a corpus containing complicated and difficult works. This method yields reliable and high-accuracy outcomes. The data analyzed here were drawn from research articles published in information science journals, the names of which were listed in the Scimago Journal and Country Rank between 2013 and 2019. Only journals in the Web of Science and articles written in English were included. A total of 30,571 research articles obtained from 677 volumes of 99 journals were analyzed using the topic modeling method, and topics were assigned by experts in the field. The findings revealed that over the past seven years, research was carried out on 30 topics in information science. The five most frequently researched topics were competency development, data management, social media analytics, public and community services, and bioinformatics. A comparison with other research data analyzed in the field of information science over the past five years using other techniques showed clear differences and a tendency of the research topics to change. The results of this research can greatly benefit the identification of research directions for the future.
Journal of Information Science, 2021
Purpose of the study: This investigation aimed at developing ontology and semantic search system... more Purpose of the study: This investigation aimed at developing ontology and semantic search system for research data in information science using the topic modeling method.
Methodology: This research and development study analyzed and classified 30,571 research articles published in internal journals and indexed by Web of Science Database from 2013 to 2019. After the ontology and semantic search system had been developed, they were evaluated by experts and system users, and the assessed data were statistically analyzed.
Findings: The ontology comprised 3 main classes: 1) research articles and 2) research topics with 30 subclasses each, and 3) research category which was accompanied by only 2 subclasses. These 3 main classes provided properties, relations and descriptions. The analysis of the assessment of the ontology quality by the experts revealed that its quality and effectiveness as a whole was at the very high level, and the semantic search system for retrieving research data in information science could be conducted through the use of the properties, research topics and category.
Applications of the study: The ontology for research data in information science is of useful direction for determining research trends in information science, and the semantic search system can be used as a guideline for developing research data in other subject fields.
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Papers by Sompejch Junlabuddee
Methodology: This research and development study analyzed and classified 30,571 research articles published in internal journals and indexed by Web of Science Database from 2013 to 2019. After the ontology and semantic search system had been developed, they were evaluated by experts and system users, and the assessed data were statistically analyzed.
Findings: The ontology comprised 3 main classes: 1) research articles and 2) research topics with 30 subclasses each, and 3) research category which was accompanied by only 2 subclasses. These 3 main classes provided properties, relations and descriptions. The analysis of the assessment of the ontology quality by the experts revealed that its quality and effectiveness as a whole was at the very high level, and the semantic search system for retrieving research data in information science could be conducted through the use of the properties, research topics and category.
Applications of the study: The ontology for research data in information science is of useful direction for determining research trends in information science, and the semantic search system can be used as a guideline for developing research data in other subject fields.