Relevant bibliographies by topics / Mapping knowledge domain

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mapping knowledge domain'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Mapping knowledge domain"

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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 co-citation relationships between authors and can improve the accuracy of mapping knowledge domains. Findings Although ATA does not mine more sub-fields than ACA does, the results of the empirical studies show that ATA, the newly proposed method, performs better in knowledge domain maps based on publications in the field of computer science. Research limitations/implications The definition of ATA in this article is simple and still insufficiently informative. Many other pieces of information can be involved; for example, all authors’ information, authors’ sequence in the author list, reference published time and similar. These can be enhanced in future studies. Practical implications This research will enrich the methods of mapping knowledge domains due to its new perspective. Social implications Knowledge domain mapping is important to understand a discipline, and this research provides more potential methods for this, which benefits the performance of the maps. Originality/value ATA can provide a methodological awareness for mapping knowledge domains. This value lies in not only a tri-citation perspective, but also author bibliographic tripling and author tri-operation perspectives (“tri-” perspectives).
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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 areas of research and seminal papers to highlight the evolution of oil spill research over the past 50 years. The paper concludes with recommendations for future work, detailing the importance of connecting the physical and social sciences for deepening our understanding of oil spills and their broader implications for communities and the environment.
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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 memory are fairly popular topics in recent decades; (2) research exploring predictive inferences, bridging inferences, and causal inferences have been paid much attention; and (3) predictive inference, eye movement, and listening comprehension may be attractive in future studies.
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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 LRS from cross-domain knowledge mapping to cross-domain and cross-language knowledge mapping. In CLRS, the supporting sentences for the source pair might be in a different language with that of the target pair. We represent the relation between two entities in an entity pair by lexical patterns of the context surrounding the two entities. We then propose a novel hybrid lexical pattern clustering algorithm to capture the semantic similarity between paraphrased lexical patterns across languages. Experiments on Japanese-English datasets show that the proposed method achieves an MRR of 0.579 for CLRS task, which is comparable to the MRR of an existing monolingual LRS engine.
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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 identify a clear hierarchy in the levels of movement-related knowledge, suggesting that this technique may be useful in research on movement. However, this declarative knowledge appeared to be distinct from associated procedural knowledge, supporting Anderson's (1982) theory and the need for several tools to provide a more complete reflection of the knowledge base in a particular domain.
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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. The articles were dated 2000–2021. This study visually presents a systematic overview of smart education literature research, including the publication outputs, main categories, most influential countries, organizations, journals, and authors, important documents, and research academic trends. Using a series of cooperation analyses, this paper looked at research cooperation among countries and regions, organizations, and authors to build a smart education knowledge structure map. A smart education theoretical framework was proposed based on the literature review. A bibliometric analysis of the existing research results provided useful and innovative suggestions for researchers and practitioners in the field of smart education.
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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 information science. Overall, the Knowledge Map provides an early 21st century snapshot of the field that should help guide future research, educational programming, publishing, and other professional and scholarly thrusts. Future information science mapping research should be done periodically, including additional Delphi studies and assessments of the degree of the field’s expansion and probable division into sub-fields. Alternative methodologies for mapping the expanding information science universe and its synergies with other fields of knowledge should also be explored.
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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 structure behavior parameters was established based on the fuzzy mapping relationships. The fuzzy mapping is very important to optimize product structure, perfect product function, meet the diversified and individual requirements of customers. Finally, an example was used to illustrate the fuzzy mapping relationships between physical domain and function domain in different design stages.
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Dissertations / Theses on the topic "Mapping knowledge domain"

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Drumm, Christian. "Improving schema mapping by exploiting domain knowledge." [S.l. : s.n.], 2008. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000009968.

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Mallede, Wondimagegn Yalew. "Mapping relational databases to semantic web using domain-specific knowledge." Thesis, London Metropolitan University, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603305.

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Piotroski, Janina. "THE EFFECTIVENESS OF USING AN ABSTRACTION-DECOMPOSITION SPACE AS A TOOL FOR CHARACTERIZING A KNOWLEDGE DOMAIN AND ENHANCING LEARNING." Miami University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=miami1161869699.

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Lemmens, Yves Claude Jean. "Modelling and analysis of engineering changes in complex systems." Thesis, Cranfield University, 2007. http://dspace.lib.cranfield.ac.uk/handle/1826/5071.

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Complex products are comprised of a large number of tightly integrated components, assemblies and systems resulting in extensive logical and physical interdependences between the constituent parts. Thus a change to one item of a system is highly likely to lead to a change to another item, which in turn can propagate further. The aim of this research therefore is to investigate dependency models that can be used to identify the impact and trace thepropagation of changes in different information domains, such as requirements, physical product architecture or organisation. Cont/d.
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Roy, Adam. "Music in Motion: A Metaphoric Mapping of Forces in Piano Concertos by Mozart and Schumann." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33009.

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In this thesis, I demonstrate the dynamic way in which musical processes can be described as metaphors. Using Steve Larson’s three main metaphors (gravity, inertia, and magnetism) as a starting point, I propose additional metaphors (friction, repulsion, momentum, wave, orbit, and oscillation) to analyze the first movements of Mozart’s Piano Concerto No. 20 in D minor, K 466 and Schumann’s Piano Concerto in A minor, op. 54. These metaphors provide a means to discuss points of convergence and divergence between the Classical style and the early-Romantic style. Additionally, most theorists of the energeticist tradition only discuss motion through prose; I introduce a way to represent these metaphors as musical examples. By focusing on the listener’s experience through musical motion, the model proposed in this thesis is useful, not only for the theorist, but for all who wish to communicate ideas about music in a dynamic way.
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Reis, Julio Cesar Dos. "Mapping Adaptation between Biomedical Knowledge Organization Systems." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112231/document.

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Les systèmes d'information biomédicaux actuels reposent sur l'exploitation de données provenant de sources multiples. Les Systèmes d'Organisation de la Connaissance (SOC) permettent d'expliciter la sémantique de ces données, ce qui facilite leur gestion et leur exploitation. Bénéficiant de l'évolution des technologies du Web sémantique, un nombre toujours croissant de SOCs a été élaboré et publié dans des domaines spécifiques tels que la génomique, la biologie, l'anatomie, les pathologies, etc. Leur utilisation combinée, nécessaire pour couvrir tout le domaine biomédical, repose sur la définition de mises en correspondance entre leurs éléments ou mappings. Les mappings connectent les entités des SOCs liées au même domaine via des relations sémantiques. Ils jouent un rôle majeur pour l'interopérabilité entre systèmes, en permettant aux applications d'interpréter les données annotées avec différents SOCs. Cependant, les SOCs évoluent et de nouvelles versions sont régulièrement publiées de façon à correspondre à des vues du domaine les plus à jour possible. La validité des mappings ayant été préalablement établis peut alors être remis en cause. Des méthodes sont nécessaires pour assurer leur cohérence sémantique au fil du temps. La maintenance manuelle des mappings est une possibilité lorsque le nombre de mappings est restreint. En présence de SOCs volumineux et évoluant très rapidement, des méthodes les plus automatiques possibles sont indispensables. Cette thèse de doctorat propose une approche originale pour adapter les mappings basés sur les changements détectés dans l'évolution de SOCs du domaine biomédical. Notre proposition consiste à comprendre précisément les mappings entre SOCs, à exploiter les types de changements intervenant lorsque les SOCs évoluent, puis à proposer des actions de modification des mappings appropriées. Nos contributions sont multiples : (i) nous avons réalisé un travail expérimental approfondi pour comprendre l'évolution des mappings entre SOCs; nous proposons des méthodes automatiques (ii) pour analyser les mappings affectés par l'évolution de SOCs, et (iii) pour reconnaître l'évolution des concepts impliqués dans les mappings via des patrons de changement; enfin (iv) nous proposons des techniques d'adaptation des mappings à base d'heuristiques. Nous proposons un cadre complet pour l'adaptation des mappings, appelé DyKOSMap, et un prototype logiciel. Nous avons évalué les méthodes proposées et le cadre formel avec des jeux de données réelles contenant plusieurs versions de mappings entre SOCs du domaine biomédical. Les résultats des expérimentations ont démontré l'efficacité des principes sous-jacents à l'approche proposée. La maintenance des mappings, en grande partie automatique, est de bonne qualité<br>Modern biomedical information systems require exchanging and retrieving data between them, due to the overwhelming available data generated in this domain. Knowledge Organization Systems (KOSs) offer means to make the semantics of data explicit which, in turn, facilitates their exploitation and management. The evolution of semantic technologies has led to the development and publication of an ever increasing number of large KOSs for specific sub-domains like genomics, biology, anatomy, diseases, etc. The size of the biomedical field demands the combined use of several KOSs, but it is only possible through the definition of mappings. Mappings interconnect entities of domain-related KOSs via semantic relations. They play a key role as references to enable advanced interoperability tasks between systems, allowing software applications to interpret data annotated with different KOSs. However, to remain useful and reflect the most up-to-date knowledge of the domain, the KOSs evolve and new versions are periodically released. This potentially impacts established mappings demanding methods to ensure, as automatic as possible, their semantic consistency over time. Manual maintenance of mappings stands for an alternative only if a restricted number of mappings are available. Otherwise supporting methods are required for very large and highly dynamic KOSs. To address such problem, this PhD thesis proposes an original approach to adapt mappings based on KOS changes detected in KOS evolution. The proposal consists in interpreting the established correspondences to identify the relevant KOS entities, on which the definition relies on, and based on the evolution of these entities to propose actions suited to modify mappings. Through this investigation, (i) we conduct in-depth experiments to understand the evolution of KOS mappings; we propose automatic methods (ii) to analyze mappings affected by KOS evolution, and (iii) to recognize the evolution of involved concepts in mappings via change patterns; finally (iv) we design techniques relying on heuristics explored by novel algorithms to adapt mappings. This research achieved a complete framework for mapping adaptation, named DyKOSMap, and an implementation of a software prototype. We thoroughly evaluated the proposed methods and the framework with real-world datasets containing several releases of mappings between biomedical KOSs. The obtained results from experimental validations demonstrated the overall effectiveness of the underlying principles in the proposed approach to adapt mappings. The scientific contributions of this thesis enable to largely automatically maintain mappings with a reasonable quality, which improves the support for mapping maintenance and consequently ensures a better interoperability over time
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RICUPERO, GIUSEPPE. "Exploring Data Hierarchies to Discover Knowledge in Different Domains." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2744938.

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RICCIARDI, RITA I. "Gestao estrategica do conhecimento. Uma metodologia de estruturacao e analise dos recursos de conhecimento." reponame:Repositório Institucional do IPEN, 2009. http://repositorio.ipen.br:8080/xmlui/handle/123456789/9413.

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Made available in DSpace on 2014-10-09T12:26:36Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:06:29Z (GMT). No. of bitstreams: 0<br>Tese (Doutoramento)<br>IPEN/T<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
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Drumm, Christian [Verfasser]. "Improving schema mapping by exploiting domain knowledge / Christian Drumm." 2008. http://d-nb.info/991922581/34.

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Mogotlane, Kgotatso Desmond. "Semantic knowledge extraction from relational databases." Thesis, 2014. http://hdl.handle.net/10352/337.

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M. Tech. (Information Technology, Department of Information and Communications Technology, Faculty of Applied an Computer Sciences), Vaal University of Technolog<br>One of the main research topics in Semantic Web is the semantic extraction of knowledge stored in relational databases through ontologies. This is because ontologies are core components of the Semantic Web. Therefore, several tools, algorithms and frameworks are being developed to enable the automatic conversion of relational databases into ontologies. Ontologies produced with these tools, algorithms and frameworks needs to be valid and competent for them to be useful in Semantic Web applications within the target knowledge domains. However, the main challenges are that many existing automatic ontology construction tools, algorithms, and frameworks fail to address the issue of ontology verification and ontology competency evaluation. This study investigates possible solutions to these challenges. The study began with a literature review in the semantic web field. The review let to the conceptualisation of a framework for semantic knowledge extraction to deal with the abovementioned challenges. The proposed framework had to be evaluated in a real life knowledge domain. Therefore, a knowledge domain was chosen as a case study. The data was collected and the business rules of the domain analysed to develop a relational data model. The data model was further implemented into a test relational database using Oracle RDBMS. Thereafter, Protégé plugins were applied to automatically construct ontologies from the relational database. The resulting ontologies are further validated to match their structures against existing conceptual database-to-ontology mapping principles. The matching results show the performance and accuracy of Protégé plugins in automatically converting relational databases into ontologies. Finally, the study evaluated the resulting ontologies against the requirements of the knowledge domain. The requirements of the domain are modelled with competency questions (CQs) and mapped to the ontology using SPARQL queries design, execution and analysis against users’ views of CQs answers. Experiments show that, although users have different views of the answers to CQs, the execution of the SPARQL translations of CQs against the ontology does produce outputs instances that satisfy users’ expectations. This indicates that Protégé plugins generated ontology from relational database embodies domain and semantic features to be useful in Semantic Web applications.
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Books on the topic "Mapping knowledge domain"

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Arthur M. Sackler Colloquia of the National Academy of Sciences (2003 Irvine, Calif.). Mapping knowledge domains. National Academy of Sciences, 2004.

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Xiao, Ming. Guo nei tu shu qing bao zhi shi tu pu shi zheng yan jiu: Empirical study on the mapping knowledge domains of library and information science in China. Zhongguo jing ji chu ban she, 2017.

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Proceedings of the National Academy of Sciences. Mapping Knowledge Domains. National Academies Press, 2004.

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Proceedings of the National Academy of Sciences. (Sackler NAS Colloquium) Mapping Knowledge Domains (Sackler NAS Colloquium). National Academies Press, 2004.

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Strack, Daniel C. Metaphor from the Ground Up. The Rowman & Littlefield Publishing Group, 2019. https://doi.org/10.5040/9781666998900.

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Metaphor from the Ground Up introduces Conceptual Filtering Theory, a theory of mental processing that describes figurative language communication in terms of conceptual domain projection and contextual disambiguation. In an attempt to match theoretical observations from cognitive semantics and pragmatics with related knowledge about mental processes from cognitive neuroscience, CFT first examines the distributed nature of conceptualization and then uses this background information to explain metonymic “binding” and metaphoric “mapping.” Once the perceptual origins of metonymy and metaphor have been demonstrated, CFT offers a detailed account of how salient aspects of conceptualization differentially combine to achieve predictable inferencing results in linguistic communication. In addition, CFT characterizes the role of contextual effects in pruning salient inferencing options and demonstrates how situational frames can be manipulated to guide semantic outcomes. The book as a whole will assert that figurative language processing cannot be characterized in terms of a generically constituted base system that receives inputs and spits out predictable results according to logical probability in a situational vacuum. Rather, it is a dynamic, context-sensitive process that continually reweights the underlying system so as to rapidly select situation-relevant lines of inferencing from among a variety of salient inferencing options.
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Ji yu duo fang fa rong he de Zhongguo jiao yu jing ji xue zhi shi tu pu: 1980-2010 = A study on the mapping knowledge domains of educational economics in China from 1980 to 2010 based on multi-methods combination. Jing ji ke xue chu ban she, 2012.

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Book chapters on the topic "Mapping knowledge domain"

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Chen, Chaomei. "Tracking Latent Domain Knowledge." In Mapping Scientific Frontiers. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5128-9_7.

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Chen, Chaomei. "Tracking Latent Domain Knowledge." In Mapping Scientific Frontiers: The Quest for Knowledge Visualization. Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0051-5_7.

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Sanchez, Thomas W., and Nader Afzalan. "Mapping the Knowledge Domain of Urban Planning." In Planning Knowledge and Research. Routledge, 2017. http://dx.doi.org/10.4324/9781315308715-6.

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Xu, Yang, Zhaohui Peng, Yupeng Hu, Xiaoguang Hong, and Wenjing Fu. "Cross-Domain Recommendation for Mapping Sentiment Review Pattern." In Knowledge Science, Engineering and Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99365-2_29.

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Qian, Danmin, Yuanpeng Zhang, Jiancheng Dong, and Li Wang. "Mapping Knowledge Domain Analysis of Medical Informatics Education." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7618-0_269.

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Daniel, Jay, and Andrew Stapleton. "Mapping the knowledge domain of blockchain technology studies." In Blockchain Technology. CRC Press, 2024. https://doi.org/10.1201/9781003542766-2.

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Kamburjan, Eduard, and Crystal Chang Din. "Runtime Enforcement Using Knowledge Bases." In Fundamental Approaches to Software Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30826-0_12.

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AbstractKnowledge bases have been extensively used to represent and reason about static domain knowledge. In this work, we show how to enforce domain knowledge about dynamic processes to guide executions at runtime. To do so, we map the execution trace to a knowledge base and require that this mapped knowledge base is always consistent with the domain knowledge. This means that we treat the consistency with domain knowledge as an invariant of the execution trace. This way, the domain knowledge guides the execution by determining the next possible steps, i.e., by exploring which steps are possible and rejecting those resulting in an inconsistent knowledge base. Using this invariant directly at runtime can be computationally heavy, as it requires to check the consistency of a large logical theory. Thus, we provide a transformation that generates a system which is able to perform the check only on the past events up to now, by evaluating a smaller formula. This transformation is transparent to domain users, who can interact with the transformed system in terms of the domain knowledge, e.g., to query computation results. Furthermore, we discuss different mapping strategies.
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Zeng, Li, Zili Li, Tong Wu, and Lixin Yang. "Mapping Knowledge Domain Research in Big Data: From 2006 to 2016." In Data Mining and Big Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61845-6_24.

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Radu, Ciprian, and Lucian Vinţan. "Domain-Knowledge Optimized Simulated Annealing for Network-on-Chip Application Mapping." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32548-9_34.

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Fernández-Berkes, Éva, and Suzanne Flynn. "Grammatical mapping in L3 acquisition." In Studies in Bilingualism. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/sibil.65.01fer.

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In this chapter, we focus on the question of how development may take place in multilingual and the role of prior knowledge in this process. The theoretical called (GM) (Lust, 2012 for L1 acquisition) supposes an active, albeit unconscious, creative involvement of the learner in the construction of the constrained and guided by (UG). We propose that the GM paradigm provides a valid and principled account of the process of multilingual acquisition as well. By means of presenting concrete examples from our previous experimental research, we will illustrate how the three essential predictions deriving from this paradigm also bear out in the multilingual scenario. Similar to L1 acquisition, UG’s and invariant principle(s) are shown to be at work in . Moreover, based on of multilingual learners’ in elicited productions, we present tangible indications that multilingual learners draw upon previously known language grammars while engaged in linguistic computation – analysis, dissociation and integration – of target language-specific components. Our contribution to the is the specification of the manner in which multilingual learners draw upon previous knowledge in the construction of new target grammar, thus extricating explicit from implicit linguistic knowledge. We expect that the application of this paradigm onto multilingual experimental data may shed light on the degree to which domain-specific innate principles guide and constrain language acquisition in general.
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Conference papers on the topic "Mapping knowledge domain"

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Cui, Jiajia, Ming Huang, Yongyong Xu, and Naiwen Guo. "Large language model illusion elimination based on fusion domain knowledge mapping and feedback learning." In Third International Conference on Algorithms, Network and Communication Technology (ICANCT 2024), edited by Fabrizio Marozzo. SPIE, 2025. https://doi.org/10.1117/12.3060306.

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Chrpa, Lukas, and Erez Karpas. "On Verifying and Generating Robust Plans for Planning Tasks with Exogenous Events." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/26.

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Planning and acting under the presence of exogenous events brings a number of challenges as events might modify the environment without the consent of the acting agent. Consequently, the agent's plan might get disrupted, agent's goals might no longer be achievable, or, worse, the agent might suffer some damage (e.g. damage to the robot). Although policies, mapping states to appropriate actions to take, can describe, in theory, how the agent should act, they might be difficult to explain and understand for humans in the loop. In this paper, we describe the concept of robust plans that are sequences of actions that can be successfully executed regardless of event occurrence. Robust plans are easier to understand (than policies). We present two methods for verifying whether a sequence of actions is a robust plan, one based on compilation to classical planning, and the other based on leveraging delete-relaxation. We also present a method for generating robust plans that is derived from the "relaxation" verification method. The methods are evaluated on three domains.
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Alviano, Mario, and Luis Angel Rodriguez Reiners. "ASP Chef: Draw and Expand." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/68.

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ASP Chef is a versatile tool built upon the principles of Answer Set Programming (ASP), offering a unique approach to problem-solving through the concept of ASP recipes. In this paper, we explore two key components of ASP Chef: the Graph ingredient and one of its extension mechanisms for registering new ingredients. The Graph ingredient serves as a fundamental feature within ASP Chef, allowing users to interpret instances of a designed predicate to construct graphs from the data. Through this capability, ASP Chef facilitates the visualization and analysis of complex relationships and structures inherent in various domains. Furthermore, ASP Chef offers a flexible extension mechanism that empowers users to register new recipes as custom ingredients. These custom ingredients, defined by sequences of mappings from interpretations to interpretations, can be stored locally within the local storage of the browser. This enables users to expand the capabilities of ASP Chef to suit their specific needs and use cases, fostering a collaborative environment where users can share and reuse custom ingredients seamlessly. Notably, the addition of new ingredients does not impose requirements on the utilization of recipes that employ them, underscoring the modular and interoperable design of ASP Chef.
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Zhang, Yinan, Yong Liu, Peng Han, et al. "Learning Personalized Itemset Mapping for Cross-Domain Recommendation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/355.

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Cross-domain recommendation methods usually transfer knowledge across different domains implicitly, by sharing model parameters or learning parameter mappings in the latent space. Differing from previous studies, this paper focuses on learning explicit mapping between a user's behaviors (i.e. interaction itemsets) in different domains during the same temporal period. In this paper, we propose a novel deep cross-domain recommendation model, called Cycle Generation Networks (CGN). Specifically, CGN employs two generators to construct the dual-direction personalized itemset mapping between a user's behaviors in two different domains over time. The generators are learned by optimizing the distance between the generated itemset and the real interacted itemset, as well as the cycle-consistent loss defined based on the dual-direction generation procedure. We have performed extensive experiments on real datasets to demonstrate the effectiveness of the proposed model, comparing with existing single-domain and cross-domain recommendation methods.
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Jinfu, Xu. "Mapping Knowledge Domain Analysis of Physical Activity for Children." In Proceedings of the 5th International Conference on Education, Language, Art and Inter-cultural Communication (ICELAIC 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icelaic-18.2018.24.

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Liu, Rui, Xiaolong Xue, and Hengqin Wu. "Identifying Knowledge Structures in Construction Innovation Research Using the Mapping Knowledge Domain Method." In 2014 International Conference on Construction and Real Estate Management. American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413777.108.

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Schleipen, Miriam, Dirk Gutting, and Franziska Sauerwein. "Domain dependant matching of MES knowledge and domain independent mapping of AutomationML models." In 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012). IEEE, 2012. http://dx.doi.org/10.1109/etfa.2012.6489663.

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Jiang, Tao, Xin Wang, and Lidong Huang. "An Automatic Mapping Mechanism for Formalizing Domain-Specific Metamodels." In 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 2015. http://dx.doi.org/10.1109/iske.2015.26.

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Jin, Chenxia, Yongwang Duan, and Lei Zhou. "Research on an Embedding and Mapping Approach with Domain-Independent Latent for Cross-Domain Recommender System." In 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 2023. http://dx.doi.org/10.1109/iske60036.2023.10481058.

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Lai, Bing, Wu Zhao, Zeyuan Yu, Xin Guo, and Kai Zhang. "A Multi-Domain Knowledge Transfer Method for Conceptual Design Combine With FBS and Knowledge Graph." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89700.

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Abstract Conceptual design as an essential step in product innovative design, a definitive design process and effective solution methods enable the rapid solving of design problems. In the conceptual design process, conceptual design solutions are solved by mapping multi-domain knowledge to design problems. However, such a process exists with multiple mapping paths and weak connections between knowledge. Therefore, we propose a knowledge transfer method that combines Function Behavior Structure (FBS) and Knowledge Graph (KG) for the conceptual design solution. Based on the FBS model, we structure the design process, identify and evaluate the functions and behaviors that satisfy the design requirements, integrate multi-domain knowledge based on knowledge graph technology and transfer it to the design process to support the conceptual design. Finally, the paper verifies the feasibility of the method with the design of a hoisting structure for heavy-duty and high precision movement. The results show that the proposed method is helpful for solving the ideal design solution, reducing the iterative steps, and improving the design efficiency to a certain extent.
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Reports on the topic "Mapping knowledge domain"

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Tsao, Jeffrey Yeenien. Damage displacement phenomena in Si junction devices : mapping and interpreting a science and technology knowledge domain. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919640.

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Blake, Carolyn, Benjamin P. Rigby, Roxanne Armstrong-Moore, et al. Participatory systems mapping for population health research, policy and practice: guidance on method choice and design. University of Glasgow, 2024. http://dx.doi.org/10.36399/gla.pubs.316563.

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What is participatory systems mapping? Participatory systems mapping engages stakeholders with varied knowledge and perspectives in creating a visual representation of a complex system. Its purpose is to explore, and document perceived causal relations between elements in the system. This guidance focuses on six causal systems mapping methods: systems-based theory of change maps; causal loop diagrams; CECAN participatory systems mapping; fuzzy cognitive maps; systems dynamics models; and Bayesian belief networks. What is the purpose of this guidance? This guidance includes a Framework that aids the choice and design of participatory systems mapping approaches for population health research, policy and practice. It offers insights on different systems mapping approaches, by comparing them and highlighting their applications in the population health domain. This guidance also includes case studies, signposting to further reading and resources, and recommendations on enhancing stakeholder involvement in systems mapping. Who is this guidance for? This guidance is designed for anyone interested in using participatory systems mapping, regardless of prior knowledge or experience. It primarily responds to calls to support the growing demand for systems mapping (and systems-informed approaches more broadly) in population health research, policy and practice. This guidance can however also be applied to other disciplines. How was it developed? The guidance was created by an interdisciplinary research team through an iterative, rigorous fivestage process that included a scoping review, key informant interviews, and a consultation exercise with subject experts. What is the ‘Participatory Systems Design Framework’ included in this guidance? The Design Framework supports users to choose between different methods and enhance the design of participatory systems mapping projects. Specifically, it encourages users to consider: 1) the added value of adopting a participatory approach to systems mapping; 2) the differences between methods, including their relative advantages and disadvantages; and 3) the feasibility of using particular methods for a given purpose. An editable version of the Framework is available to download as a supplementary file. How will this guidance support future use of these methods? Participatory systems mapping is an exciting and evolving field. This guidance clarifies and defines the use of these methods in population health research, policy and practice, to encourage more thoughtful and purposeful project design, implementation, and reporting. The guidance also identifies several aspects for future research and development: methodological advancements; advocating for and strengthening participatory approaches; strengthening reporting; understanding and demonstrating the use of maps; and developing skills for the design and use of these methods.
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Lavoie, D., N. Pinet, S. Zhang, et al. Hudson Bay, Hudson Strait, Moose River, and Foxe basins: synthesis of Geo-mapping for Energy and Minerals program activities from 2008 to 2018. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/326090.

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As part of its Geo-mapping for Energy and Minerals program, the Geological Survey of Canada included the Hudson Bay Basin in its research portfolio with the goal of generating a modern understanding of its geological framework and a precise knowledge of its hydrocarbon systems. The Hudson Bay-Foxe Basins GEM-1 project led to the proposal of modern stratigraphic frameworks and produced extensive geochemical data on hydrocarbon source rocks as well as data on diverse burial-thermal indicators. Satellite data were acquired over the entire offshore domain in the search for evidence for active hydrocarbon systems. For the Hudson-Ungava GEM-2 project, the aim of the research activities was to better understand local and regional factors associated with the burial and exhumation histories as they pertain to regional or local hydrocarbon prospectivity. This research led to a basin-scale stratigraphic framework coupled with detailed analyses of hydrocarbon generation and the appraisal of the best potential reservoir units.
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Böhm, C., and N. Rayner. Summary of GEM results: Manitoba Far North Geomapping Initiative. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332503.

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The far north of Manitoba is endowed with potential for base and precious metals, diamonds, uranium, and rare metals. The goal of a collaborative project between the Manitoba Geological Survey and the Geological Survey of Canada was to provide an advanced framework of geoscience knowledge for mineral exploration and land-use management. Bedrock mapping, geophysical surveys, and geochemical and geochronological analyses carried out in 2005 to 2011 in the far north of Manitoba showed diverse and complex rocks that record nearly two billion years of Earth history. Key advancements in understanding include a new stratigraphy and chronology of at least four metasedimentary cover sequences in the Seal River Domain, some with high potential for economic uranium, gold, and/or rare-metal mineralization; and the identification of a Neoarchean greenstone belt in the Great Island area with known gold occurrences. The discovery of remnants of ancient (3.5 Ga) cratonic lithosphere in the Seal River area also renders the region favourable for diamond exploration.
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Droogan, Julian, Lise Waldek, Brian Ballsun-Stanton, and Jade Hutchinson. Mapping a Social Media Ecosystem: Outlinking on Gab & Twitter Amongst the Australian Far-right Milieu. RESOLVE Network, 2022. http://dx.doi.org/10.37805/remve2022.6.

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Attention to the internet and the online spaces in which violent extremists interact and spread content has increased over the past decades. More recently, that attention has shifted from understanding how groups like the self-proclaimed Islamic State use the internet to spread propaganda to understanding the broader internet environment and, specifically, far-right violent extremist activities within it. This focus on how far right violent extremist—including far-right racially and ethnically motivated violent extremists (REMVEs) within them—create, use, and exploit the online networks in which they exist to promote their hateful ideology and reach has largely focused on North America and Europe. However, in recent years, examinations of those online dynamics elsewhere, including in Australia, is increasing. Far right movements have been active in Australia for decades. While these movements are not necessarily extremist nor violent, understanding how violent far right extremists and REMVEs interact within or seek to exploit these broader communities is important in further understanding the tactics, reach, and impact of REMVEs in Australia. This is particularly important in the online space access to broader networks of individuals and ideas is increasingly expanding. Adding to a steadily expanding body of knowledge examining online activities and networks of both broader far right as well as violent extremist far right populations in Australia, this paper presents a data-driven examination of the online ecosystems in which identified Australian far-right violent extremists exist and interact,1 as mapped by user generated uniform resource locators (URL), or ‘links’, to internet locations gathered from two online social platforms—Twitter and Gab. This link-based analysis has been used in previous studies of online extremism to map the platforms and content shared in online spaces and provide further detail on the online ecosystems in which extremists interact. Data incorporating the links was automatically collected from Twitter and Gab posts from users existing within the online milieu in which those identified far right extremists were connected. The data was collected over three discrete one-month periods spanning 2019, the year in which an Australian far right violent extremist carried out the Christchurch attack. Networks of links expanding out from the Twitter and Gab accounts were mapped in two ways to explore the extent and nature of the online ecosystems in which these identified far right Australian violent extremists are connected, including: To map the extent and nature of these ecosystems (e.g., the extent to which other online platforms are used and connected to one another), the project mapped where the most highly engaged links connect out to (i.e., website domain names), and To explore the nature of content being spread within those ecosystems, what sorts of content is found at the end of the most highly engaged links. The most highly engaged hashtags from across this time are also presented for additional thematic analysis. The mapping of links illustrated the interconnectedness of a social media ecosystem consisting of multiple platforms that were identified as having different purposes and functions. Importantly, no links to explicitly violent or illegal activity were identified among the top-most highly engaged sites. The paper discusses the implications of the findings in light of this for future policy, practice, and research focused on understanding the online ecosystems in which identified REMVE actors are connected and the types of thematic content shared and additional implications in light of the types of non-violent content shared within them.
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Fahima, Tzion, and Jorge Dubcovsky. Map-based cloning of the novel stripe rust resistance gene YrG303 and its use to engineer 1B chromosome with multiple beneficial traits. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7598147.bard.

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Research problem: Bread wheat (Triticumaestivum) provides approximately 20% of the calories and proteins consumed by humankind. As the world population continues to increase, it is necessary to improve wheat yields, increase grain quality, and minimize the losses produced by biotic and abiotic stresses. Stripe rust, caused by Pucciniastriiformisf. sp. tritici(Pst), is one of the most destructive diseases of wheat. The new pathogen races are more virulent and aggressive than previous ones and have produced large economic losses. A rich source for stripe-rust resistance genes (Yr) was found in wild emmer wheat populations from Israel. Original Project goals: Our long term goal is to identify, map, clone, characterize and deploy in breeding, novel wild emmer Yr genes, and combine them with multiple beneficial traits. The current study was aiming to map and clone YrG303 and Yr15, located on chromosome 1BS and combine them with drought resistance and grain quality genes. Positional cloning of YrG303/Yr15: Fine mapping of these genes revealed that YrG303 is actually allelic to Yr15. Fine genetic mapping using large segregating populations resulted in reduction of the genetic interval spanning Yr15 to less than 0.1 cM. Physical mapping of the YrG303/Yr15 locus was based on the complete chromosome 1BS physical map of wheat constructed by our group. Screening of 1BS BAC library with Yr15 markers revealed a long BAC scaffold covering the target region. The screening of T. dicoccoidesaccession-specific BAC library with Yr15 markers resulted in direct landing on the target site. Sequencing of T. dicoccoidesBAC clones that cover the YrG303/Yr15 locus revealed a single candidate gene (CG) with conserved domains that may indicate a role in disease resistance response. Validation of the CG was carried out using EMS mutagenesis (loss-of- function approach). Sequencing of the CG in susceptible yr15/yrG303 plants revealed three independent mutants that harbour non-functional yr15/yrG303 alleles within the CG conserved domains, and therefore validated its function as a Pstresistance gene. Evaluation of marker-assisted-selection (MAS) for Yr15. Introgressions of Yr15 into cultivated wheat are widely used now. Recently, we have shown that DNA markers linked to Yr15 can be used as efficient tools for introgression of Yr15 into cultivated wheat via MAS. The developed markers were consistent and polymorphic in all 34 tested introgressions and are the most recommended markers for the introgression of Yr15. These markers will facilitate simultaneous selection for multiple Yr genes and help to avoid escapees during the selection process. Engineering of improved chromosome 1BS that harbors multiple beneficial traits. We have implemented the knowledge and genetic resources accumulated in this project for the engineering of 1B "super-chromosome" that harbors multiple beneficial traits. We completed the generation of a chromosome including the rye 1RS distal segment associated with improved drought tolerance with the Yr gene, Yr15, and the strong gluten allele 7Bx-over-expressor (7Bxᴼᴱ). We have completed the introgression of this improved chromosome into our recently released variety Patwin-515HP and our rain fed variety Kern, as well as to our top breeding lines UC1767 and UC1745. Elucidating the mechanism of resistance exhibited by Yr36 (WKS1). The WHEAT KINASE START1 (WKS1) resistance gene (Yr36) confers partial resistance to Pst. We have shown that wheat plants transformed with WKS1 transcript are resistant to Pst. WKS1 is targeted to the chloroplast where it phosphorylates the thylakoid-associatedascorbateperoxidase (tAPX) and reduces its ability to detoxify peroxides. Based on these results, we propose that the phosphorylation of tAPX by WKS1 reduces the ability of the cells to detoxify ROS and contributes to cell death. Distribution and diversity of WKS in wild emmer populations. We have shown that WKS1 is present only in the southern distribution range of wild emmer in the Fertile Crescent. Sequence analysis revealed a high level of WKS1 conservation among wild emmer populations, in contrast to the high level of diversity observed in NB-LRR genes. This phenomenon shed some light on the evolution of genes that confer partial resistance to Pst. Three new WKS1 haplotypes displayed a resistance response, suggesting that they can be useful to improve wheat resistance to Pst. In summary, we have improved our understanding of cereals’ resistance mechanisms to rusts and we have used that knowledge to develop improved wheat varieties.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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