Knowledge Mapping Techniques Research Articles

Applying Knowledge Mapping Techniques to Enhance Contextual Understanding and Accurate Correspondence in Translating Metaphorical Information in Japanese Literature

Abstract Metaphorical information is prevalent in literary texts, and understanding the cultural and historical contexts of Japanese literature can significantly enhance the translation of its metaphors. This paper introduces a knowledge graph specifically designed for translating metaphorical content in Japanese literary works. This graph facilitates the categorization, extraction, and storage of symbolic information. To refine the knowledge graph further, the RAEA model is employed, coupled with a distinct attention mechanism assigned to each node of symbolic information. This approach significantly improves the entity alignment in translations, thereby enhancing translational accuracy. In constructing a dataset that includes background symbolic information, the knowledge graph demonstrated a precision of 0.9256 and a recall of 0.9136. Additionally, the graph achieved an average Mean Reciprocal Rank (MRR) index of 0.810, markedly surpassing traditional translation models. This paper’s knowledge graph thus offers an effective methodology for the precise translation and interpretation of symbolic information in Japanese literature, aiding in the deeper comprehension and accurate representation of such content.

Computer-assisted English language teaching: history, current status and future developments

Abstract In the digital era, the integration of computers into educational practices, particularly in English language teaching, has progressively become ubiquitous. English language education, a crucial component of contemporary pedagogy, has experienced significant evolution through the implementation of computer-assisted instruction. This study endeavors to delineate the landscape of research hotspots in computer-assisted English teaching by employing knowledge mapping techniques. It further elucidates the methodological framework of keyword co-occurrence mapping. An analytical review of the historical progression, emerging trends, and prior challenges in the domain of computer-assisted English teaching is conducted. Findings indicate that the prominence of terms such as “computer-aided English teaching,” “distance learning,” and “online teaching” initially surged but subsequently declined, with peaks observed in 2000 and 2007, respectively. Conversely, “mobile learning” has shown a consistent upward trajectory, culminating in a peak of 1051 citations in 2018. Historically, computer-assisted English teaching faced engagement challenges, with 72% of students not participating actively in learning. Presently, there is a marked improvement in this domain, with 80.0% of teachers now regularly utilizing computers to facilitate English instruction. The ongoing development of computer-assisted English teaching aims to enhance both the intelligence and efficiency of instructional processes in the future.

TRSRD: a database for research on risky substances in tea using natural language processing and knowledge graph-based techniques.

During the production and processing of tea, harmful substances are often introduced. However, they have never been systematically integrated, and it is impossible to understand the harmful substances that may be introduced during tea production and their related relationships when searching for papers. To address these issues, a database on tea risk substances and their research relationships was constructed. These data were correlated by knowledge mapping techniques, and a Neo4j graph database centered on tea risk substance research was constructed, containing 4189 nodes and 9400 correlations (e.g. research category-PMID, risk substance category-PMID, and risk substance-PMID). This is the first knowledge-based graph database that is specifically designed for integrating and analyzing risk substances in tea and related research, containing nine main types of tea risk substances (including a comprehensive discussion of inclusion pollutants, heavy metals, pesticides, environmental pollutants, mycotoxins, microorganisms, radioactive isotopes, plant growth regulators, and others) and six types of tea research papers (including reviews, safety evaluations/risk assessments, prevention and control measures, detection methods, residual/pollution situations, and data analysis/data measurement). It is an essential reference for exploring the causes of the formation of risk substances in tea and the safety standards of tea in the future. Database URL http://trsrd.wpengxs.cn.

Co-Word Analysis of First-Authored Publications Written by Top Cited Scholars of Social Work

Purpose: Bibliometric analysis has been widely adopted to measure individual productivity and discipline development. This study aims to advance the application of this method in the social work discipline. Method: Using the knowledge mapping technique in CiteSpace 5.8.R3, this study performed a co-word analysis of 1,007 first-authored articles published from 2000 to 2022 by 60 scholars who are listed among the top 2% most-cited scholars on social work and are holding doctoral degrees in the same field. Results: The cluster analysis identified seven main research hotspots and burst detection results revealed four groups of research frontiers, including spiritual and cultural needs, children's wellbeing, social work practices and development, and social work research, with bullying and peer victimization, particularly among African-American adolescents and youth in Chicago's southside, continuing to attract much research interest. Discussion: This study examines how individual works contribute to the conceptual structure and scientific evolution of social work.

Pflegefachpersonen denken über eine Definition von "durchgeführter und versäumter Pflege" nach.

Nurses reflect upon a definition of "performed and missed nursing care" - A qualitative study Abstract. Background: It is known that necessary nursing interventions are repeatedly omitted respectively only carried out partially or at a time that is not appropriate. In the literature, this is referred to as "missed nursing care". In the German-speaking region, there is no critically reflected definition of what is meant by "performed and missed nursing care", using qualitative methods. Therefore, we developed one in a three-phase study. Aim: The aim of phase 2, which is the focus of this article, was to critically reflect on the literature-based definition developed in phase 1 with nurses working in acute care hospitals in German-speaking Switzerland in order to specify it in phase 3. Methods: We conducted two focus group interviews with a total of 17 participants. We provided the participants with the preliminary definition and asked them for their reflections. We analysed the interviews content-analytically with the knowledge mapping technique as well as according to Mayring. Results: The participating nurses described that the contents of the definition were relevant and comprehensible for them. However, they also noticed differences from their understanding and gave indications for refining the definition, especially in relation to terms that include a time-related aspect. Conclusions: By involving nurses in the development of the definition, there is now a practical description of "performed and missed nursing care" that can be useful for quality assurance and development of care.

Digitalization as a way forward: A bibliometric analysis of 20 Years of servitization research

This paper conducts a bibliometric analysis of servitization and PSS by examining 690 selected papers from Web of Science database. Knowledge mapping techniques including collaboration analysis, co-citation analysis and keywords co-occurrence analysis methods are adopted in the bibliometric analysis. Our findings show that China and England are the top two countries publishing more papers, and Sweden, Germany, Switzerland and Denmark keep tight collaboration relationships with other regions. We also find that some active researchers play critical roles as interfaces to connect different research groups in the servitization and PSS fields. Some authors of highly cited papers in earlier years gradually turned to other research directions. In addition, ‘Digital PSS and servitization’, and ‘territorial servitization’ are found to be emerging trends in recent years. Although the earlier sustainability topics in the servitization field are more associated with eco-design and lifecycle extension, they gradually shift to sustainable business models in recent years. Compared with most of the literature reviews in the field, this study provides insights by revealing the distribution structure of literature, the collaboration relationship and the dynamic change of research trends with a transparent, repeatable and objective procedure.

The Contribution of Instruction in a Knowledge Mapping Technique to Students' Understanding of Texts

An experiment to assess the effects of instruction in a knowledge mapping technique on students’ learning performance in Economics was conducted in four secondary schools in the State of Selangor, Malaysia. Instruction in a note-taking technique served as a control condition, and a pre-test-post-test design was utilised. The study involved 135 Sixth-Form Economics students (24 males and 111 females) and four Economics teachers. The effectiveness of the technique was assessed by four types of assessment tests, and the tests were developed on the basis of Bloom’s taxonomy of educational objectives for the cognitive domain (Bloom, 1956), and followed the procedure suggested by Gronlund (1982). It was hypothesised that the knowledge mapping technique would assist students to perform better in the performance tests in comparison with the control group using the note-taking technique. The influences of gender, ethnicity, cognitive style and learners’ characteristics were also assessed. Furthermore, the research also investigated the effects of the technique on measures of students’ self-efficacy beliefs and cognitive effort investment.

Subjective Cognitive Decline: Mental Health, Loneliness, Pain and Quality Of Life: Poblational Study

Background: Tourists are influenced by pricing effects when deciding to buy a specific product. As this research field continues to evolve, this study reviewed the tourist’s process of price information and tourists’ behavior of related literature, focusing on the analysis of general price decisions theory and highlighting its empirical study with information processing. This study aims to review tourist literatures on price processes and behavior, and identify research term networks and active research countries based on previous literature. Method: The articles found in the ISI Web of Science database were reviewed using bibliometric analysis, focusing on the literatures on price decisions about tourists published in the top 20 marketing journals. We analyzed the bibliographic data through a quantitative analysis approach and a knowledge mapping technique using bibliometric data. Knowledge mapping was performed using VOS viewer (V1.6.6), focalizing on “link strength” of networks based on author keywords, and the text corpus (title and abstract). To identify emerging terms, we manually edited the thesaurus list to exclude the general terms such as tourist, market and category and to avoid irrelevant terms (i.e., pricing strategy, price competition, industry or BOB pricing). We used the full counting method to produce co-occurrence networks of the most-used terms for author and corpus text keyword with a minimum of 2 occurrences for each term, and make the heat hap of active countries publishing about price decisions by tourists. Conclusion: It was found that USA and Germany are leading price decision research about tourists, and Current research focuses on tourists' response to a single price information and ignoring price affect during tourists’ decisions, which is assumed to be in a non-updated and certain information state. Therefore, it is encouraged that the growing community of researchers reveal the dynamical tourist’s price decisions under uncertain with a dual system (cognitive and affect) in the future.

Information Flow Analysis of a Knowledge Mapping-Based System for University Alumni Collaboration: a Practical Approach

The aim of this study is to integrate knowledge mapping technique by applying information flow analysis to facilitate the collaboration between the university and its alumni by developing a knowledge mapping-based system based on a designed knowledge mapping model. Questionnaire was employed to collect data from respondents in a university to evaluate the applicability of the developed system. The collected data was further analyzed using Statistical Package for Social Sciences (SPSS). Descriptive and exploratory factor analysis was carried out to analyze the collected data by deploying test of normality, reliability, validity, and factor analysis. Results from descriptive analysis reveal that the developed system is applicable in facilitating alumni collaboration. Besides, results indicate that the developed system provides holistic and comprehensive knowledge support among alumni members to improve communication. Moreover, this study offers a methodological and comprehensive procedure to support interaction and provides information to alumni members. Theoretically, this study depicts how the designed knowledge mapping model defines, organizes, and develops procedural knowledge in order to explore and address communication inadequacy among alumni members. Practically, this study utilized knowledge mapping as a technique to visualize the source and flow of tacit and explicit knowledge for university alumni collaboration.

Is the evolution of building sustainability assessment methods promoting the desired sharing of knowledge amongst project stakeholders?

Building sustainability assessment methods (BSAM’s) seek to help project stakeholders understand the predicted and actual sustainability performance of their buildings but are often applied reactively and isolated from project decisions. The last decade has seen BREEAM at the forefront of evolving assessment practice towards a framework approach to help shape project decisions and promote stakeholder learning. The research explores the nature and extent this transition is being realized in practice within four case studies applying BREEAM spanning a 15-year period. Process and knowledge mapping techniques are applied to explore the flow of knowledge required to enable sustainable decisions, stimulate the sharing of understanding, mediation of views and to promote learning amongst stakeholders. Evidence suggested that when applied in progressive projects that the flow of knowledge is strongest when supported by sustainability leadership, a framework approach aligned with project management, an improvement and engagement culture and a strategy for promoting knowledge flow. As practice matures care is needed to ensure engagement remains high and stakeholders are not isolated from the flow of knowledge as projects increasingly rely on sustainability advisors thus losing the opportunity to learn and shape decisions.

THE COMPARISON OF USING MIND MAPPING AND KNOWLEDGE MAPPING TECHNIQUE TOWARD STUDENTS’ READING COMPREHENSION IN REPORT TEXT AT THE ELEVENTH GRADE AT SMA N 1 TRIMURJO IN THE ACADEMIC YEAR 2015/2016

The objectives of this research are to know whether there is a difference result of reading comprehension by using mind mapping and knowledge mapping technique or not and to know which one is more effective technique between mind mapping and knowledge mapping technique.This research is a quantitative research.The design of this research is pre test-post test control group design which employs two groups. Experimentgroup is treated by mind mapping technique and control class is treated by knowledge mapping technique. Then, the total population is 123 students at the eleventh grade of SMA N 1 Trimurjo. The researcher takes 40 students, 20 students as experiment and20 as control. In taking the sample, the researcher used total cluster random sampling.The result of ttest is 2,91 and ttable is 2,02 (on criterion 1) and 2,70 (on criterion 2). It means that tcount>ttable. So, there is a difference result of reading comprehension by using mind mapping and knowledge mapping technique and reading comprehension by using mind mapping technique is more effective than knowledge mapping technique.

KNOWLEDGE MAPPING PROCESS MODEL FOR RISK MITIGATION IN SOFTWARE MANAGEMENT

As software organizations try to mitigate operational and technical risk that occurs when using software, there is need to develop a knowledge intensive system to assist team members in mitigating both operational and technical risk. Knowledge mapping in risk mitigation context is in its infancy and has the potential to address both operational and technical risk faced by software organizations. However, as the amount and depth of organizational knowledge increases, it poses some challenges to software organizations. The key challenges for knowledge intensive organizations are how to identify, assimilate, disseminate, and apply these risk knowledge; particularly between different team members in same software development project. Thus this paper proposes a knowledge mapping process model to assist in mitigating risk (operational and technical) that occurs in software organizations. Knowledge mapping is the field within Knowledge Management (KM) that aims to optimize the efficient and effective use of the organization’s knowledge. The mapping process model can support software management teams in measuring and treating risk, thus aiding decision making in software management. Data was collected using semi-structured interview through case study. The interview transcripts were coded and categorized using Nvivo software. Keywords: Knowledge Map, Knowledge Mapping Technique, Risk Mitigation, Software Management, Nvivo

An Approach to Dynamic Fusion of the Knowledge Maps of an Activities Process

The interest of companies for a greater valuation of their information, knowledge and competency is increasing. These companies have a knowledge capital (tacit and explicit) often poorly exploited. These information resources include knowledge and information useful and necessary to the execution of trades' processes and that it will be captured and formalized by using knowledge engineering methods, such as knowledge mapping techniques. In this context, the authors present a new approach to dynamic fusion of knowledge maps for an activities process that builds on the one hand, the graphical representation of the knowledge mapping and the boolean modelling of the graph (MBG). On the other hand, the authors' fusion algorithm of the maps which relies on notions of “index” type which allows determines the type of node of map to merge their fusion algorithm of the maps which relies on notions of “index” type which allows determines the type of node to merge and on notions of the boolean modelling of the knowledge maps. The authors finally implemented this algorithm to obtain experimental results. This result can be used as a decision support tool, whether individual or collective.

The applications of Monte Carlo algorithm and energy cone model to produce the probability of block-and-ash flows of the 2010 eruption of Merapi volcano in Central Java, Indonesia

Volcanic eruption hazard mapping is very important to fulfill information needs to prepare for emergency situations. Rapid mapping is one of the steps necessary for emergency response in disaster mitigation effort. Limitations of time, data, and knowledge mapping techniques can be a problem when performing the operational work. In this research, the combinations of the Monte Carlo algorithm and energy cone model have been applied to reproduce the probability of block-and-ash type of pyroclastic flows of the 2010 eruption of Merapi volcano. These approaches are applied as an alternative method of rapid, objective, and reproducible for hazard mapping of pyroclastic flows. In addition, the method of Interferometry Synthetic Aperture Radar (InSAR) has been used in this research to update the digital elevation model (DEM) data. The availability of DEM data updates was required as input of topography, which determines the pyroclastic flows. This research has produced DEM PALSAR 2010 pre-eruption of Merapi volcano, with a spatial resolution of 30 m. The result of the vertical accuracy calculations was performed using the root mean square error (RMSE) approach, which show the value of RMSE at 9.08 m. There are four eruptive phases, which have been used for the simulation scenarios, namely: phase 1 (period 26–29 October 2010), phase 2 (period 30 October–3 November 2010), phase 3 (period 4–5 November 2010), and phase 4 (period 6–23 November 2010). The results of the Monte Carlo algorithm to reproduce the effects of the 2010 eruption of Merapi volcano, has show that the height correction (hc) on the DEM data gives effect to the probability distribution of pyroclastic flows. At the hc = 1, 2, 3, 4, and 5 m, the value of overall accuracy based on cross-correlation matrix of the reference map are 76.38, 77.38, 77.00, 77.75, and 77.25 %, respectively. In these scenarios, the hc = 4 m can give the best accuracy. Meanwhile, the results of the comparison of the results of the difference of the average run out on the energy cone model obtained from the reference map is 843 m.

Visualising a knowledge mapping of information systems investment evaluation

Information systems (IS) facilitate organisations to increase responsiveness and reduce the costs of their supply chain. This paper seeks to make a contribution through exploring and visualising knowledge mapping from the perspective of IS investment evaluation. The evaluation of IS is regarded as a challenging and complex process, which becomes even more difficult with the increased complexity of IS. The intricacy of IS evaluation, however, is due to numerous interrelated factors (e.g. costs, benefits and risks) that have human or organisational dimensions. With this in mind, there appears to be an increasing need to assess investment decision-making processes, to better understand the often far-reaching implications associated with technology adoption and interrelated knowledge components (KC). Through the identification and extrapolation of key learning issues from the literature and empirical findings, organisations can better improve their business processes and thereby their effectiveness and efficiency, while preventing others from making costly oversights that may not necessarily be only financial. In seeking to enlighten the often obscure evaluation of IS investments, this paper attempts to inductively emphasise the dissemination of knowledge and learning through the application of a fuzzy Expert System (ES) based knowledge mapping technique (i.e. Fuzzy Cognitive Map [FCM]). The rationale for exploring knowledge and IS investment evaluation is that a knowledge map will materialise for others to exploit during their specific technology evaluation. This is realised through conceptualising the explicit and tacit investment drivers. Among the several findings drawn from this research, the key resulting knowledge mapping through FCM demonstrated the complex, multifaceted and emergent behaviour of causal relationships within the knowledge area. The principal relationships and knowledge within IS investment evaluation are illustrated as being determined by a blend of managerial and user perspectives.

A New Visualization-oriented Knowledge Service Platform

With the rapid growth of knowledge resources and increasing individual demands of users, the problem of how to spend less effort finding knowledge they need has been becoming more and more important. The visualization-oriented knowledge service platform is presented, which includes knowledge acquisition, knowledge categories, knowledge processing, knowledge storage and knowledge visualization. The platform aims to further transfer insights, experiences, attitudes, values, expectations, perspectives, opinions, and predictions by using various complementary visualizations. That is, by using knowledge mapping techniques a large and complex set of knowledge resources can be assimilated and navigated more easily. A prototype system of visual knowledge service has been implemented and applied to the massive knowledge organization, management and service for education.

Knowledge mapping for information systems evaluation in manufacturing

The evaluation of information systems is regarded as a complex process due to the large number of interacting factors that culminate in respective costs, benefits and risks that have human or organizational dimensions. With this in mind, there is much need to examine investment decision-making processes to better understand the often far-reaching implications associated with technology adoption and associated knowledge constructs. Through the identification and extrapolation of key learning issues from the literature and empirical findings, organizations can better improve their business processes and thereby their effectiveness, whilst preventing others from making costly mistakes that may not necessarily be purely financial. In seeking to shed light on the often elusive evaluation of information systems, this paper will, through the adoption of a case enquiry research strategy that uses qualitative research methods, present the experiences of a manufacturing organization that sought to evaluate its information system. The authors will inductively show the propagation of knowledge and learning of a company in the manufacturing sector, via the application of a knowledge mapping technique. The rationale for exploring knowledge and information systems evaluation in manufacturing is that through empirically extrapolating explicit and tacit knowledge drivers, a knowledge map will emerge for others to use during their technology evaluation.