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1

Yu, Weidong. "Using author tri-citation analysis to map knowledge domains in knowledge representations." Electronic Library 35, no. 6 (2017): 1215–24. http://dx.doi.org/10.1108/el-11-2016-0240.

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Purpose Previous commonly used author co-citation analysis (ACA) methods have limited the ability to deal with accidental co-citation in constructing a raw co-citation matrix. Therefore, the purpose of this paper is to propose a new method, called author tri-citation analysis (ATA), to better map knowledge domains and depict scientific intellectual structures. Design/methodology/approach Different from the previous method of using ACA that captures author co-citation relationships, the ATA method seeks tri-citation relationships among authors. Compared with ACA, ATA can ignore some accidental
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Hornett, Andrea, and Eric W. Stein. "Mapping the Knowledge Management Domain of Ideas." International Journal of Knowledge Management 3, no. 3 (2007): 1–25. http://dx.doi.org/10.4018/jkm.2007070101.

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Nelson, Jake R., and Tony H. Grubesic. "Oil spill modeling: Mapping the knowledge domain." Progress in Physical Geography: Earth and Environment 44, no. 1 (2020): 120–36. http://dx.doi.org/10.1177/0309133319897503.

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The year 2019 marks the anniversary of two major US offshore oil spills: the 50th anniversary of the Santa Barbara spill and the 30th anniversary of the Exxon Valdez. The consequences of these spills are profound, echoing throughout countless environmental, ecological and social systems. Each spill sparked a flurry of research focusing on the analysis and documentation of spill impacts and responses. The purpose of this progress report is to evaluate oil spill modeling research as a knowledge domain. Using bibliometric analysis techniques, we constructed a co-citation network for exploring key
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Zhong, Zilong. "Mapping the Knowledge Domain of Text Inferencing." International Journal of Translation, Interpretation, and Applied Linguistics 5, no. 1 (2023): 1–18. http://dx.doi.org/10.4018/ijtial.330017.

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Text inferencing is a critical factor that would affect discourse comprehension. Growing attention has been paid to the research on inferential processing during text reading, with numerous papers on this topic published in recent decades. To gain a bibliographic landscape of inferential processing during discourse reading, co-citation analysis, cluster interpretations, and citation bursts analysis were conducted via CiteSpace based on the data from the Web of Science (WoS) Core Collection of Thomson Reuters from 2001 to 2021. The results reveal that (1) reading comprehension and working memor
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Tuan Duc, Nguyen, Danushka Bollegala, and Mitsuru Ishizuka. "Cross-Language Latent Relational Search: Mapping Knowledge across Languages." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 1237–42. http://dx.doi.org/10.1609/aaai.v25i1.8075.

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Latent relational search (LRS) is a novel approach for mapping knowledge across two domains. Given a source domain knowledge concerning the Moon, "The Moon is a satellite of the Earth," one can form a question {(Moon, Earth), (Ganymede, ?)} to query an LRS engine for new knowledge in the target domain concerning the Ganymede. An LRS engine relies on some supporting sentences such as ``Ganymede is a natural satellite of Jupiter.'' to retrieve and rank "Jupiter" as the first answer. This paper proposes cross-language latent relational search (CLRS) to extend the knowledge mapping capability of L
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Blais, Christine. "Concept Mapping of Movement-Related Knowledge." Perceptual and Motor Skills 76, no. 3 (1993): 767–74. http://dx.doi.org/10.2466/pms.1993.76.3.767.

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Concept mapping was developed by Novak and Gowin in 1984 as a technique to examine an individual's knowledge-base in a given domain. In the motor domain, however, with a heavy emphasis on automated and tacit knowledge there may not be a base of information which can be verbally reported. 52 subjects with similar academic backgrounds were asked to explain all they knew about the concept of movement, and these reports were transcribed and assessed by four judges. Subjects also completed a pattern-recognition task related to procedural knowledge for movement. Over-all, the judges were able to ide
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Waterhouse, Janetta, and Sanjeet Mann. "Mapping Domain Knowledge for Leading and Managing Change." Serials Librarian 80, no. 1-4 (2021): 3–10. http://dx.doi.org/10.1080/0361526x.2021.1863140.

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Guo, Xing-Rong, Xiang Li, and Yi-Ming Guo. "Mapping Knowledge Domain Analysis in Smart Education Research." Sustainability 13, no. 23 (2021): 13234. http://dx.doi.org/10.3390/su132313234.

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Smart education is considered an inevitable choice and an important educational trend development in the Information Age. Smart education development can promote learning opportunities to master high-quality education and lifelong learning. It vigorously promotes sustainable development. A bibliometric analysis was performed to better understand smart education research field knowledge structures and help researchers understand smart education research field characteristics. VOSviewer and CiteSpace were used to analyze 2358 Web of Science core collection articles related to smart education. Th
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Zins, Chaim, Anthony Debons, Clare Beghtol, et al. "Knowledge map of Information Science." Brazilian Journal of Information Science 1, no. 1 (2007): 3–32. http://dx.doi.org/10.36311/1981-1640.2007.v1n1.02.p3.

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This collective paper incorporates eleven position papers on implications of the "Knowledge Map of Information Science,” a Critical Delphi study conducted in 2003-2005 and published as a series of four articles (ZINS, 2007 a, b, c, d). The Delphi study captured the deliberations of 57 leading information science scholars from 16 countries to provide (1) definitions of the fundamental concepts of data, information knowledge and message, (2) alternative conceptions of the broad information science domain, (3) different classificatory mappings of the field, and (4) comprehensive mappings of infor
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GU, YING-KUI, and HONG-ZHONG HUANG. "FUZZY MAPPING BETWEEN PHYSICAL DOMAIN AND FUNCTION DOMAIN IN DESIGN PROCESS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no. 01 (2004): 7–20. http://dx.doi.org/10.1142/s0218488504002618.

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The contents and meanings of mapping relationships between physical domain and function domain in different design stages, such as conceptual design, detail design and enhancement design, were analyzed. According to the analysis results, the fuzzy mapping between physical domain and function domain in different design stages was established by integrating objective information and subjective information in the design process, such as expert's knowledge, designer's preferences and customer's requirements, where the fuzzy sets, fuzzy mapping and fuzzy transition were used. The property table of
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Wang, Huayan, and Qiang Yang. "Transfer Learning by Structural Analogy." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 513–18. http://dx.doi.org/10.1609/aaai.v25i1.7907.

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Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critical to find the similarity between auxiliary and target domains, even when such mappings are not obvious. In this paper, we present a novel algorithm for finding the structural similarity between two domains, to enable transfer learning at a structured knowledge level. In particular, we address the problem of how to learn a non-trivial structural similarity mapping between two different domains when they are completely
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Tei, Yin Zhen, Yuan Wen Hau, N. Shaikh-Husin, and M. N. Marsono. "Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/867612.

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This paper proposes a multiobjective application mapping technique targeted for large-scale network-on-chip (NoC). As the number of intellectual property (IP) cores in multiprocessor system-on-chip (MPSoC) increases, NoC application mapping to find optimum core-to-topology mapping becomes more challenging. Besides, the conflicting cost and performance trade-off makes multiobjective application mapping techniques even more complex. This paper proposes an application mapping technique that incorporates domain knowledge into genetic algorithm (GA). The initial population of GA is initialized with
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Zhang, Wei, and Liang Zhao. "Mapping the Global Knowledge Domain for Building Information Models." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 14 (2019): 1959044. http://dx.doi.org/10.1142/s0218001419590444.

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This paper presents the method and findings of a visual knowledge domain map used to explore the development and evolution of Building information modeling (BIM) technology. Metadata taken from 806 literature records is used to visualize the state of BIM research. The records were published between 1998 and 2017, and Citespace software is employed to visualize key data about the research contained on the Web of Science platform, including nationality of research institutions, research themes, co-citations of periodicals, authorship, literature sources, and the development of the discipline ove
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Kumar, Jatin, and Gurmeet Singh. "MAPPING THE COPOLYMER RESEARCH KNOWLEDGE DOMAIN IN LUNG CANCER." INDIAN DRUGS 61, no. 08 (2024): 7–19. http://dx.doi.org/10.53879/id.61.08.14560.

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The present study examined current research trends on copolymers’ role in lung cancer by using bibliometric analysis and to identify the areas for further research. Through the use of the Scopus database, this study gathered 736 records that were published between 1974 and 2023. Based on the research findings, block copolymers emerged as a distinctive approach for the treatment of lung cancer and various other malignancies. However, since 1974, this industry has grown rapidly. No bibliometric studies have been done on this topic to analyse the research landscape and indicate research trends an
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Skupin, André, and Katy Börner. "Mapping Humanity's Knowledge and Expertise in the Digital Domain." Environment and Planning B: Planning and Design 34, no. 5 (2007): 765–66. http://dx.doi.org/10.1068/b3405ged.

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Snijder, Lucas L., Quirine T. S. Smit, and Maaike H. T. De Boer. "Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge." Proceedings of the AAAI Symposium Series 3, no. 1 (2024): 253–62. http://dx.doi.org/10.1609/aaaiss.v3i1.31208.

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One of the approaches to help the demand and supply problem in the labor market domain is to change from degree-based hiring to skill-based hiring. The link between occupations, degrees and skills is captured in domain ontologies such as ESCO in Europe and O*NET in the US. Several countries are also building or extending these ontologies. The alignment of the ontologies is important, as it should be clear how they all relate. Aligning two ontologies by creating a mapping between them is a tedious task to do manually, and with the rise of generative large language models like GPT-4, we explore
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Jin, Tianguo, Xiaoqian Liu, Bingxiang Zeng, Xinglong Chen, and Dongliang Zhang. "A Business-Model-Driven Approach to Task-Planning Knowledge Graph Construction." Applied Sciences 14, no. 23 (2024): 11090. http://dx.doi.org/10.3390/app142311090.

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As the complexity of mission planning increases, relying on the subjective experience of planners is no longer sufficient to meet the needs of modern mission planning. Knowledge mapping, as a structured knowledge management technique, provides an effective solution for systematically integrating knowledge in the task-planning domain. The mission-planning business model is able to systematically capture and portray domain knowledge in mission planning through a formal representation of mission planning processes, rules, and constraints. Thus, it becomes an important source of knowledge for miss
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Ekanayake, E. M. A. C., Geoffrey Shen, and Mohan M. Kumaraswamy. "Mapping the knowledge domains of value management: a bibliometric approach." Engineering, Construction and Architectural Management 26, no. 3 (2019): 499–514. http://dx.doi.org/10.1108/ecam-06-2018-0252.

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PurposeThe purpose of this paper is to review the state-of-the-art of literature of value management (VM) and to map the VM domain to provide a launch pad for further knowledge development and dissemination.Design/methodology/approachThis study employed CiteSpace bibliometric analysis software to systematically, comprehensively and accurately review the VM-related literature and to map the VM knowledge domain.FindingsThe results reveal the current VM knowledge base, clusters, research hotspot, and the evolutionary trajectory while contributing to the development of VM knowledge by providing a
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Zhang, Zhi Chuang, Xiao Ping Hu, and Chang Qing Xi. "A DSM-Based Multiple-Domain Modeling of Product Information." Applied Mechanics and Materials 201-202 (October 2012): 947–50. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.947.

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Knowledge cannot be promptly shared is the main problem in current ship design processes. Knowledge sharing depended on complete expression of the product information. Therefore, the project management tool—design structure matrix was applied in ship design. Three domains of design structure matrixes including products, tasks and people were built; three domain mapping matrixes which contain each two of the three fields were built too; finally the multiple-domain matrix including these three domains were built. The models established the theory basis for the development of collaborative design
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Nitchot, Athitaya, Lester Gilbert, and Wiphada Wettayaprasit. "Pedagogically-Informed Knowledge Mapping: Representing Contextualised Competences." Electronic Journal of e-Learning 19, no. 5 (2021): pp308–320. http://dx.doi.org/10.34190/ejel.19.5.2118.

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Knowledge mapping tools in the educational technology domain currently support learners and teachers in creating and visualizing a knowledge repository, usually of subject matter content or links to such content. This research proposes a pedagogically-informed knowledge map design, where knowledge is conceptualised as a contextualized competence, and proposes a tool for creating and visualizing knowledge and recommending appropriate learning and teaching materials. An experiment is reported which found that the use of knowledge mapping and the tool significantly correlated with academic perfor
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Wang, Yu-Chi, Qian Liu, Zi-Yan Yu, Jing Wang, and Jin-Song Zhang. "Bibliometric analysis and mapping knowledge domain of pterygium: 2000-2019." International Journal of Ophthalmology 14, no. 6 (2021): 903–14. http://dx.doi.org/10.18240/ijo.2021.06.17.

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AIM: To track the knowledge structure, topics in focus, and trends in emerging research in pterygium in the past 20y. METHODS: Base on the Web of Science Core Collection (WoSCC), studies related to pterygium in the past 20y from 2000-2019 have been included. With the help of VOSviewer software, a knowledge map was constructed and the distribution of countries, institutions, journals, and authors in the field of pterygium noted. Meanwhile, using co-citation analysis of references and co-occurrence analysis of keywords, we identified basis and hotspots, thereby obtaining an overview of this fiel
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Concari, Alessandro, Gerjo Kok, and Pim Martens. "Recycling behaviour: Mapping knowledge domain through bibliometrics and text mining." Journal of Environmental Management 303 (February 2022): 114160. http://dx.doi.org/10.1016/j.jenvman.2021.114160.

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Theby, Mark. "Cloud Computing in the Public Sector: Mapping the Knowledge Domain." International Journal of Managing Public Sector Information and Communication Technologies 12, no. 4 (2021): 1–17. http://dx.doi.org/10.5121/ijmpict.2021.12401.

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Cloud computing is a key element in many nations’ pursuit of fast-tracked digital transformation and the quick implementation of digital tools but is still facing considerable barriers due to the distinct challenges that information technology adoption faces in public sector environments. Using scientometric data from the Web of Science database, this study explores the current state of research and the structure of the public sector cloud computing knowledge domain in a novel way, utilizing the CiteSpace visual analytic software to produce knowledge maps that visualize public sector cloud com
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Cheng, Baoquan, Yuhu Wei, Hujun Li, Jianling Huang, and Huihua Chen. "Science Mapping the Knowledge Domain of Construction Workers’ Safety Behavior." Buildings 13, no. 6 (2023): 1365. http://dx.doi.org/10.3390/buildings13061365.

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The examination of construction workers’ safety behavior (CWSB) is a critical factor in mitigating the occurrence of construction accidents. This study conducted a scientometric and critical review of 3280 CWSB-related articles indexed in the Web of Science database. Scientometric analyses (e.g., co-authorship, co-word, co-citation, citation-burst analysis, and clustering) objectively visualized the current research landscape, while the critical review identified key research topics and challenges within the CWSB research. The findings reveal that over half of CWSB research originates from thr
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Albişoru, Andrei-Florin, and Dorin Ghişa. "Conformal Self-Mappings of the Complex Plane with Arbitrary Number of Fixed Points." WSEAS TRANSACTIONS ON MATHEMATICS 22 (December 31, 2023): 971–79. http://dx.doi.org/10.37394/23206.2023.22.106.

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There are known conformal self-mappings of the fundamental domains of analytic functions via Möbius transformations. When two adjacent fundamental domains have a straight line or an arc of a circle as a common boundary, the Schwarz symmetry principle can be applied for one of those mappings and what we obtain is a conformal self-mapping of the union of those domains in which each one of the domains is mapped onto itself. Repeating this operation until the whole plane is exhausted, we obtain a conformal self-mapping of the complex plane in which every fundamental domain is conformally mapped on
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Florrence, Merlin. "Building a multilingual ontology for education domain using monto method." Computer Science and Information Technologies 1, no. 2 (2020): 47–53. http://dx.doi.org/10.11591/csit.v1i2.p47-53.

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Ontologies are emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Knowledge based information retrieval are widely used in the domain like Education, Artificial Intelligence, Healthcare and so on. It is important to provide multilingual information of those domains to facilitate multi-language users. In this paper, we propose a MOnto (Multilingual Ontology) methodology to develop multilingual ontology applications for education domain. New algorithms are proposed for merging and mapping mult
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Florrence, Merlin. "Building a multilingual ontology for education domain using monto method." Computer Science and Information Technologies 1, no. 2 (2020): 47–53. http://dx.doi.org/10.11591/csit.v1i2.pp47-53.

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Ontologies are emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Knowledge based information retrieval are widely used in the domain like Education, Artificial Intelligence, Healthcare and so on. It is important to provide multilingual information of those domains to facilitate multi-language users. In this paper, we propose a multilingual ontology (MOnto) methodology to develop multilingual ontology applications for education domain. New algorithms are proposed for merging and mapping mult
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Merlin, Florrence. "Building a multilingual ontology for education domain using monto method." Computer Science and Information Technologies 1, no. 2 (2020): 47–53. https://doi.org/10.11591/csit.v1i2.p47-53.

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Ontologies are emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Knowledge based information retrieval are widely used in the domain like Education, Artificial Intelligence, Healthcare and so on. It is important to provide multilingual information of those domains to facilitate multi-language users. In this paper, we propose a MOnto (Multilingual Ontology) methodology to develop multilingual ontology applications for education domain. New algorithms are proposed for merging and mapping mult
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Deng, Qianwang, and Dejie Yu. "Mapping Knowledge in Product Development through Process Modelling." Journal of Information & Knowledge Management 05, no. 03 (2006): 233–42. http://dx.doi.org/10.1142/s0219649206001475.

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The product development capability is a core competence in a company, and the product development process is a knowledge-intensive process. The evolution of engineering design shows that knowledge is a key factor of a successful product development. From the 70's in the last century, artificial intelligence has been introduced into this field. It evolves from expert system through knowledge-based system to current knowledge management. Knowledge taxonomy is a core component in knowledge management. A new approach of mapping knowledge in product development through process modelling is proposed
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Sedighi, Mehri, and Ammar Jalalimanesh. "Mapping research trends in the field of knowledge management." Malaysian Journal of Library & Information Science 19, no. 1 (2014): 71–85. https://doi.org/10.5281/zenodo.14014039.

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Purpose:<strong>&nbsp;</strong>This paper aims to map research trends in knowledge management (KM) by presenting a systematic and analytical study based on ISI data during 2001&ndash;2010 periods.&lrm; Design/methodology/approach: Using scientometric techniques, a methodology was developed for science mapping.&lrm; The method includes the following steps: - defining the domain - Identifying keywords related to the field and&nbsp;its subfields - Conducting searches and collecting the data from ISI - Drawing the structure of scientific productions using scientometric tools - Enriching the scienc
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Talmon, J. L., P. W. Moorman, J. A. Kors, and M. J. Schuemie. "Mapping the Domain of Medical Informatics." Methods of Information in Medicine 48, no. 01 (2009): 76–83. http://dx.doi.org/10.3414/me0576.

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Summary Objectives: The domain of medical informatics (MI) is not well defined. It covers a wide range of research topics. Our objective is to characterize the field of MI by means of the scientific literature in this domain. Methods: We used titles and abstracts from MEDLINE records of papers published between July 1993 and July 2008, and extracted uni-, bi- and trigrams as features. Starting with the ISI category of medical informatics, we applied a semi-automated procedure to identify the set of journals and proceedings pertaining to MI. A clustering algorithm was subsequently applied to th
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Lou, Wen, Jie Zhang, Kai Li, and Jiangen He. "Understanding the Application of Science Mapping Tools in LIS and Non-LIS Domains." Data and Information Management 4, no. 2 (2020): 94–108. http://dx.doi.org/10.2478/dim-2020-0006.

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AbstractAs a scientific field, scientific mapping offers a set of standardized methods and tools which can be consistently adopted by researchers in different knowledge domains to answer their own research questions. This study examined the scientific articles that applied science mapping tools (SMT) to analyze scientific domains and the citations of these application articles. To understand the roles of these application articles in scholarly communication, we analyzed 496 application articles and their citations from 14 SMT by classifying them into library and information science (LIS) and o
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Luchini, Simone A., Shuyao Wang, Yoed N. Kenett, and Roger E. Beaty. "Mapping the Memory Structure of High-Knowledge Students: A Longitudinal Semantic Network Analysis." Journal of Intelligence 12, no. 6 (2024): 56. http://dx.doi.org/10.3390/jintelligence12060056.

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Standard learning assessments like multiple-choice questions measure what students know but not how their knowledge is organized. Recent advances in cognitive network science provide quantitative tools for modeling the structure of semantic memory, revealing key learning mechanisms. In two studies, we examined the semantic memory networks of undergraduate students enrolled in an introductory psychology course. In Study 1, we administered a cumulative multiple-choice test of psychology knowledge, the Intro Psych Test, at the end of the course. To estimate semantic memory networks, we administer
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He, Yi, Qi Feng, Lixin Yan, and Xiao-Yun Lu. "Visualization and Analysis of Mapping Knowledge Domain of Heterogeneous Traffic Flow." Computational Intelligence and Neuroscience 2022 (February 4, 2022): 1–15. http://dx.doi.org/10.1155/2022/7754961.

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Mapping knowledge domain (MKD) is an important application in bibliometrics, which is a method of visually presenting and explaining newly developed interdisciplinary scientific fields using data mining, information analysis, scientific measurement, and graphic rendering. This study combines applied mathematics, visual analysis technology, information science, and scientometrics to systematically analyze the development status, research distribution, and future trend of the heterogeneous traffic flow by using the MKD software tools VOSviewer and CiteSpace. Based on the MKD and Bibliometrics ap
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Shi, Jian-gang, Wei Miao, and Hongyun Si. "Visualization and Analysis of Mapping Knowledge Domain of Urban Vitality Research." Sustainability 11, no. 4 (2019): 988. http://dx.doi.org/10.3390/su11040988.

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Mapping knowledge domain (MKD) is an important research technology in bibliometrics. It provides a visual perspective for researchers and helps researchers to clearly understand the general situations of specific research fields. Presently, MKD has been widely used in fields such as ecology and transportation safety. In this paper, we conduct a systematically bibliometric analysis of the development trend on urban vitality research by using VOSviewer software, and this work is based on the related articles published in the Science Citation Index Expanded (SCIE) and Social Sciences Citation Ind
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Visser, Gerhard, and Jelena Markov. "Cover thickness uncertainty mapping using Bayesian estimate fusion: leveraging domain knowledge." Geophysical Journal International 219, no. 3 (2019): 1474–90. http://dx.doi.org/10.1093/gji/ggz358.

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SUMMARY Thickness of cover over crystalline basement is an important consideration for mineral exploration in covered regions. It can be estimated from a variety of geophysical data types using a variety of inference methods. A robust method for combining such estimates to map the cover–basement interface over a region of interest is needed. Due to the large uncertainties involved, these need to be probabilistic maps. Predominantly, interpolation methods are used for this purpose, but these are built on simplifying assumptions about the inputs which are often inappropriate. The Bayesian estima
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Radu, Ciprian, Md Shahriar Mahbub, and Lucian Vinţan. "Developing Domain-Knowledge Evolutionary Algorithms for Network-on-Chip Application Mapping." Microprocessors and Microsystems 37, no. 1 (2013): 65–78. http://dx.doi.org/10.1016/j.micpro.2012.11.003.

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Xia, Zhiqiang, Sang Tian, and Xingyu Yan. "Mapping the Knowledge Domain: Research on Service-Oriented Government in China." Journal of Chinese Political Science 24, no. 2 (2019): 341–60. http://dx.doi.org/10.1007/s11366-019-09604-3.

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Zou, Xin, Wen Long Yue, and Hai Le Vu. "Visualization and analysis of mapping knowledge domain of road safety studies." Accident Analysis & Prevention 118 (September 2018): 131–45. http://dx.doi.org/10.1016/j.aap.2018.06.010.

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Zou, Xin, and Hai L. Vu. "Mapping the knowledge domain of road safety studies: A scientometric analysis." Accident Analysis & Prevention 132 (November 2019): 105243. http://dx.doi.org/10.1016/j.aap.2019.07.019.

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Li, Mei-yi, and Zi-xing Cai. "Immune evolutionary algorithms with domain knowledge for simultaneous localization and mapping." Journal of Central South University of Technology 13, no. 5 (2006): 529–35. http://dx.doi.org/10.1007/s11771-006-0082-9.

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Pan, Qingna, Jincheng Zhou, Duo Yang, et al. "Mapping Knowledge Domain Analysis in Deep Learning Research of Global Education." Sustainability 15, no. 4 (2023): 3097. http://dx.doi.org/10.3390/su15043097.

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With the rapid development of the global digital knowledge economy, educational activities are facing more challenges. Sustainable development education aims to cultivate students’ thinking ability to better integrate with the contemporary world view, so classroom practice should involve innovative teaching and learning. The goal of sustainable development education is to cultivate talents with high-level thinking and sustainable development abilities. The concept of deep learning emphasizes mobilizing students’ internal motivation, focusing on problem-solving ability, improving students’ crit
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Ju, Boryung. "Does domain knowledge matter: Mapping users' expertise to their information interactions." Journal of the American Society for Information Science and Technology 58, no. 13 (2007): 2007–20. http://dx.doi.org/10.1002/asi.20680.

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Zhang, Changye, Fang Chen, Jinhao Liao, and Anyue Wang. "Mapping the Knowledge Domain of Earnings Conference Calls: A Bibliometric Study." Technium Social Sciences Journal 69 (March 8, 2025): 379–89. https://doi.org/10.47577/tssj.v69i1.12564.

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This study uses a bibliometric approach to conduct a critical review of research on earnings conference calls. The goal of the study is to assess the development of the field, identify key research trends and issues, and highlight gaps in the existing literature. This study takes the Web of Science (WOS) academic journal database as the source of literature. It utilizes software such as COOC, DIKW, VOSviewer, and Vismap for bibliometric analysis, mathematical statistics, and knowledge graph drawing. The study constructs knowledge graphs for the research field of earnings conference calls from
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45

Li, Lianghao, Xiaoming Jin, and Mingsheng Long. "Topic Correlation Analysis for Cross-Domain Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 998–1004. http://dx.doi.org/10.1609/aaai.v26i1.8308.

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Cross-domain text classification aims to automatically train a precise text classifier for a target domain by using labeled text data from a related source domain. To this end, the distribution gap between different domains has to be reduced. In previous works, a certain number of shared latent features (e.g., latent topics, principal components, etc.) are extracted to represent documents from different domains, and thus reduce the distribution gap. However, only relying the shared latent features as the domain bridge may limit the amount of knowledge transferred. This limitation is more serio
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46

Chandrasekaran, B. "An answer to commentators on the paper “Generic tasks as building blocks for knowledge-based systems: the diagnosis and routine design examples”." Knowledge Engineering Review 3, no. 3 (1988): 217–19. http://dx.doi.org/10.1017/s0269888900004471.

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I thank the commentators for their time, and generally positive remarks on the promise of the task-specific approach, in particular the generic task (GT) proposal.Johnson and Zualkernan would like a methodology for mapping domain knowledge onto one or more generic tasks so as to solve problems efficiently. This stage of problem and domain analysis in which the kind of reasoning that goes on needs to be analysed in a vocabulary of generic tasks is very important, and in our laboratory we identify this as the epistemic analysis stage. For specific classes of problems we have developed guidelines
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Petrov, Peter, Milko Krachunov, and Dimitar Vassilev. "A Semi-Automated Approach for Anatomical Ontology Mapping." Journal of Integrative Bioinformatics 10, no. 2 (2013): 71–81. http://dx.doi.org/10.1515/jib-2013-221.

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Summary This paper presents a study in the domain of semi-automated and fully-automated ontology mapping. A process for inferring additional cross-ontology links within the domain of anatomical ontologies is presented and evaluated on pairs from three model organisms. The results of experiments performed with various external knowledge sources and scoring schemes are discussed.
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Mikheev, A. "Knowledge Mapping of Energy Systems Research in 1970-2020." Energy Systems Research, no. 3(11) (December 27, 2020): 54–61. http://dx.doi.org/10.38028/esr.2020.03.0007.

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This study presents a brief bibliometric overview of large scientific literature data related to issues of energy systems research from 1970 to 2020 in the Scopus database. The six periods depending on different publication activity rates were analyzed to observe the evolution of research topics of energy systems. VOSviewer software was used to construct scientific knowledge maps and to discover valuable main topics for each period. Proposed visualization of the energy knowledge domain can be considered as a necessary step for a holistic understanding of complex development pathways towards th
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Chen, Qiusheng, Zhuoqun Fang, Shizhuo Deng, Tong Jia, Zhaokui Li, and Dongyue Chen. "Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification." Remote Sensing 17, no. 9 (2025): 1592. https://doi.org/10.3390/rs17091592.

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Enhancing target domain discriminability is a key focus in Unsupervised Domain Adaptation (UDA) for HyperSpectral Image (HSI) classification. However, existing methods overlook bringing similar cross-domain samples closer together in the feature space to achieve the indirect transfer of source domain classification knowledge. To overcome this issue, we propose a Multi-Task Learning-based Domain Adaptation (MTLDA) method. MTLDA incorporates an inductive transfer mechanism into adversarial training, transferring the source classification knowledge to the target representation learning during the
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Huong, Le Vien Lan, Nguyen Thi Bích Hanh, Pham Thuy Giang, Pham Thi Xuan Ha, and Ho Thi Thoa. "The Source Domain “Boxing” in Vietnamese Newspaper Discourse: The Case of Online Newspapers." Theory and Practice in Language Studies 14, no. 12 (2024): 3768–77. https://doi.org/10.17507/tpls.1412.10.

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The article explores the appearance of the metaphor ‘POLITICS IS A BOXING MATCH’ in online Vietnamese newspapers. Based on the linkages embedded in the experience and knowledge projected from the source domain to the target domain, the article clarifies the mapping mechanism between the spatial domains 'boxing' and 'politics' and explains the mechanism of moving and copying attributes between the two spatial domains ‘source’ and ‘target’ in the authors' linguistic thinking. Based on the partial projection principles of metaphors, this paper presents the hierarchical characteristics of the auth
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