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Journal articles on the topic 'Knowledge taxonomies'

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1

Williamson, Julie. "Organising knowledge: taxonomies, knowledge and organisational effectiveness." Knowledge Management Research & Practice 8, no. 3 (2010): 280–81. http://dx.doi.org/10.1057/kmrp.2010.2.

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Pinkham, Ashley M., Tanya Kaefer, and Susan B. Neuman. "Taxonomies Support Preschoolers’ Knowledge Acquisition from Storybooks." Child Development Research 2014 (March 25, 2014): 1–10. http://dx.doi.org/10.1155/2014/386762.

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For young children, storybooks may serve as especially valuable sources of new knowledge. While most research focuses on how extratextual comments influence knowledge acquisition, we propose that children’s learning may also be supported by the specific features of storybooks. More specifically, we propose that texts that invoke children’s knowledge of familiar taxonomic categories may support learning by providing a conceptual framework through which prior knowledge and new knowledge can be readily integrated. In this study, 60 5-year olds were read a storybook that either invoked their knowl
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Cochrane, Pauline A. "A Review of “Organising Knowledge: Taxonomies, Knowledge and Organisational Effectiveness”." Cataloging & Classification Quarterly 48, no. 4 (2010): 352–53. http://dx.doi.org/10.1080/01639370903573073.

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4

Nakash, Maayan. "Corporate Taxonomy Mapping for Performance-Supporting KM." European Conference on Knowledge Management 25, no. 1 (2024): 538–43. http://dx.doi.org/10.34190/eckm.25.1.2416.

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Taxonomies are controlled vocabularies and multidimensional frameworks for organizing and classifying content. This study is the first to examine the meanings chief knowledge officers (CKOs) ascribe to corporate taxonomy mapping for enabling sustainable performance-driven knowledge management (KM). Utilizing a qualitative methodology, the research corpus comprised in-depth interviews, focus groups, participant observation, and cyber-ethnography. The findings underscore the essential role of investing resources in systematic taxonomy management as a cornerstone for attaining excellence in KM. E
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Panda, Subhajit, and Navkiran Kaur. "Building a Semantic Web for Libraries: Harnessing the Power of Taxonomies and Ontologies for Effective Knowledge Organization." Journal of Knowledge & Communication Management 13, no. 2 (2023): 67–82. https://doi.org/10.5958/2277-7946.2023.00006.2.

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Effective knowledge organization is a vital aspect of library operations, as it streamlines the process of information discovery and retrieval for library users. This paper delves into the roles that taxonomies and ontologies play in knowledge organization within libraries, highlighting how these two tools can work in tandem to establish an efficient and effective system of knowledge organization. The primary aim of this paper is to explore the potential advantages and limitations of using taxonomies and ontologies and to investigate their application in constructing a semantic web tailored to
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Pešaković, Dragica, and Andrej Šafhalter. "UNIFIED TAXONOMY OF COMPETENCES FOR VERIFICATION OF STUDENT'S SKILLS." Problems of Education in the 21st Century 72, no. 1 (2016): 89–100. http://dx.doi.org/10.33225/pec/16.72.89.

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Skills, which students have to manage, are divided on a lower and higher taxonomic (»competent«) level, which allows differentiation and individualization in the lessons. It also allows easier monitoring and verifying of skills. The combination of taxonomies in all three fields, cognitive, affective and psychomotor has been searched and combined in competent taxonomic levels, which allows development and verification of student's skills on a lower and higher taxonomic level. Special attention was on verification and assessment of student's knowledge, where it can be found out once more that th
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Sun, Yushi, Hao Xin, Kai Sun, et al. "Are Large Language Models a Good Replacement of Taxonomies?" Proceedings of the VLDB Endowment 17, no. 11 (2024): 2919–32. http://dx.doi.org/10.14778/3681954.3681973.

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Large language models (LLMs) demonstrate an impressive ability to internalize knowledge and answer natural language questions. Although previous studies validate that LLMs perform well on general knowledge while presenting poor performance on long-tail nuanced knowledge, the community is still doubtful about whether the traditional knowledge graphs should be replaced by LLMs. In this paper, we ask if the schema of knowledge graph (i.e., taxonomy) is made obsolete by LLMs. Intuitively, LLMs should perform well on common taxonomies and at taxonomy levels that are common to people. Unfortunately,
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8

Gomes, Noah. "Reclaiming Native Hawaiian Knowledge Represented in Bird Taxonomies." Ethnobiology Letters 11, no. 2 (2020): 30–43. http://dx.doi.org/10.14237/ebl.11.2.2020.1682.

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This paper examines three examples of native bird classification systems historically used by the aboriginal peoples of the Hawaiian Islands. The goal is to better understand Indigenous linguistic hierarchies in the taxonomic structure and nomenclature systems that were formerly utilized by these colonized peoples. Three specific manuscripts from two native historians and a foreign naturalist are analyzed to better ascertain how these systems may have worked, despite the dearth of data on the comprehensive knowledge of bird hunters and ritual specialists. The utilitarian basis of these systems
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9

Al-Ahmad, Walid. "Knowledge of IT Project Success and Failure Factors." International Journal of Information Technology Project Management 3, no. 4 (2012): 56–71. http://dx.doi.org/10.4018/jitpm.2012100104.

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Traditionally, project success/failure is considered only after the project is completed or cancelled. Integrating project success and failure factors knowledge and software engineering activities would result in a situation where project success/failure is considered as part of the development process, leading to more successful software projects. This article aims to identify the common issues responsible for IT projects’ success/failure to develop a deeper understanding of these root causes. Knowledge about success can be used to understand failure and vice versa. Therefore, generic taxonom
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10

Hasnain, Sheikh Shamim, Sajjad M. Jasimuddin, and Nerys Fuller-Love. "Exploring Causes, Taxonomies, Mechanisms and Barriers Influencing Knowledge Transfer." Information Resources Management Journal 29, no. 1 (2016): 39–56. http://dx.doi.org/10.4018/irmj.2016010103.

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Knowledge transfer is one of the significant elements in the knowledge management process. Knowledge transferors share different types of knowledge with the recipients with a view to fulfilling the latter's knowledge needs. The importance of identifying the appropriate knowledge transfer mechanisms and the barriers to knowledge transfer are paramount. However, neither the knowledge management literature nor the NGO-sector literature has adequately addressed the issues of causes of knowledge transfer, taxonomies of knowledge, mechanisms and barriers of knowledge transfer in comprehensive way in
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11

Gerbracht, Jeff. "Birds of the World: A global reference for avian life histories and a case study of incompatible taxonomies." Biodiversity Information Science and Standards 3 (July 4, 2019): e37912. https://doi.org/10.3897/biss.3.37912.

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Life history accounts and taxonomic monographs are a series of publications covering a higher taxonomic group where each account is a compilation of existing knowledge detailing many aspects of a species life history. These life history accounts are extensively used by researchers, ornithologists and conservationists as a main source for the current state of knowledge of a species. Birds, being one of the more easily seen and studied taxa, have a number of specialized life history accounts where data from a wide variety of disciplines are combined into a single easily accessible resource. The
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Al Mazari, Ali, Ahmed H. Anjariny, Shakeel A. Habib, and Emmanuel Nyakwende. "Cyber Terrorism Taxonomies." International Journal of Cyber Warfare and Terrorism 6, no. 1 (2016): 1–12. http://dx.doi.org/10.4018/ijcwt.2016010101.

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The aim of this paper is to identify common features in: the definition of cyber terrorism, cyber terrorism targets, cyber terrorism crimes and then develop effective mitigation strategies and countermeasures to tackle this phenomenon. Through rigorous analysis of literature covering academic articles and official reports, we develop cyber terrorism definition taxonomy which includes five elements: target, motive, means, effect and intention; cyber terrorism targets taxonomy identified from the following target areas: military forces, government cyber and physical infrastructures, critical nat
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Ojeda, César, Kostadin Cvejoski, Rafet Sifa, and Christian Bauckhage. "Inverse Dynamical Inheritance in Stack Exchange Taxonomies." Proceedings of the International AAAI Conference on Web and Social Media 11, no. 1 (2017): 644–47. http://dx.doi.org/10.1609/icwsm.v11i1.14932.

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Question Answering websites are popular repositories of expert knowledge and cover areas as diverse as linguistics, computer science, or mathematics. Knowledge is commonly organized via user defined tags which implicitly create population folksonomies. However, the interplay between latent knowledge structures and the answering behavior of users has not been fully explored yet. Here, we propose a model of a dynamical tagging process guided by taxonomies, devise a robust algorithm that allow us to uncover hidden topic hierarchies, apply our method to analyze several Stack Exchange websites. Our
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14

Clark, Benjamin R., H. Charles J. Godfray, Ian J. Kitching, Simon J. Mayo, and Malcolm J. Scoble. "Taxonomy as an eScience." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1890 (2008): 953–66. http://dx.doi.org/10.1098/rsta.2008.0190.

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The Internet has the potential to provide wider access to biological taxonomy, the knowledge base of which is currently fragmented across a large number of ink-on-paper publications dating from the middle of the eighteenth century. A system (the CATE project) is proposed in which consensus or consolidated taxonomies are presented in the form of Web-based revisions. The workflow is designed to allow the community to offer, online, additions and taxonomic changes (‘proposals’) to the consolidated taxonomies (e.g. new species and synonymies). A means of quality control in the form of online peer
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Ye, Mingquan, Xindong Wu, Xuegang Hu, and Donghui Hu. "Knowledge reduction for decision tables with attribute value taxonomies." Knowledge-Based Systems 56 (January 2014): 68–78. http://dx.doi.org/10.1016/j.knosys.2013.10.022.

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16

Subramanian, D. K., V. S. Ananthanarayana, and M. Narasimha Murty. "Knowledge-based association rule mining using AND–OR taxonomies." Knowledge-Based Systems 16, no. 1 (2003): 37–45. http://dx.doi.org/10.1016/s0950-7051(02)00050-3.

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17

Tortosa, Paul-Arthur. "Taxonomies of knowledge: information and order in medieval manuscripts." European Review of History: Revue européenne d'histoire 24, no. 3 (2017): 491–93. http://dx.doi.org/10.1080/13507486.2017.1283821.

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18

DE LA CADENA, MARISOL. "Are Mestizos Hybrids? The Conceptual Politics of Andean Identities." Journal of Latin American Studies 37, no. 2 (2005): 259–84. http://dx.doi.org/10.1017/s0022216x05009004.

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Through a genealogical analysis of the terms mestizo and mestizaje, this article reveals that these voices are doubly hybrid. On the one hand they house an empirical hybridity, built upon eighteenth and nineteenth century racial taxonomies and according to which ‘mestizos’ are non-indigenous individuals, the result of biological or cultural mixtures. Yet, mestizos’ genealogy starts earlier, when ‘mixture’ denoted transgression of the rule of faith, and its statutes of purity. Within this taxonomic regime mestizos could be, at the same time, indigenous. Apparently dominant, racial theories sust
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19

Rahman, Hakikur. "Open Innovation in Entrepreneurships." International Journal of E-Entrepreneurship and Innovation 4, no. 3 (2013): 1–15. http://dx.doi.org/10.4018/ijeei.2013070101.

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Efforts have been given to gain knowledge from a meager collection of empirical studies on various taxonomies of innovation and their effects on open innovation strategies for the development of entrepreneurship, despite abundance of studies and researches that are available on the broader aspect of open innovation categorization. Based on a longitudinal literature review with three time series, this study has tried to deduct patterns of innovation among business sectors, during pre-concurrent-post periods of popularization of the term ‘open innovation’, emphasizing their implications on entre
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20

Atran, Scott. "Folk biology and the anthropology of science: Cognitive universals and cultural particulars." Behavioral and Brain Sciences 21, no. 4 (1998): 547–69. http://dx.doi.org/10.1017/s0140525x98001277.

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This essay in the “anthropology of science” is about how cognition constrains culture in producing science. The example is folk biology, whose cultural recurrence issues from the very same domain-specific cognitive universals that provide the historical backbone of systematic biology. Humans everywhere think about plants and animals in highly structured ways. People have similar folk-biological taxonomies composed of essence-based, species-like groups and the ranking of species into lower- and higher-order groups. Such taxonomies are not as arbitrary in structure and content, nor as variable a
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21

Sinclair, Rebekah. "Un-Settling Species Concepts through Indigenous Knowledge." Environmental Ethics 42, no. 4 (2020): 313–34. http://dx.doi.org/10.5840/enviroethics202042431.

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The voices of Native American philosophers, scientists, and storytellers need to be amplified to problematize and decolonize the often taken-for-granted concept of species in environmental ethics. Especially in the context of climate change, concepts such as cross-species native,invasive, and endangered species have become cornerstones for understanding and evaluating moral obligations to other lives.Yet, even as the species concept does ethical work, it has not itself been subject to critical ethical evaluation. Instead, uncritical treatment of the species concept can naturalize Western metap
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22

Barak, Moshe. "Teaching engineering and technology: cognitive, knowledge and problem-solving taxonomies." Journal of Engineering, Design and Technology 11, no. 3 (2013): 316–33. http://dx.doi.org/10.1108/jedt-04-2012-0020.

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23

Sell, Marie A. "The development of children's knowledge structures: events, slots, and taxonomies." Journal of Child Language 19, no. 3 (1992): 659–76. http://dx.doi.org/10.1017/s0305000900011612.

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ABSTRACTSeventeen preschool (age range 2;10–3;6), 26 kindergarten (age range 5;5–6;7), and 26 fourth-grade (age range 9;5–10;5) children's knowledge structures were examined with a word association task and a match-to-sample picture task to determine whether or not children used slot-filler categories as a mediating structure between event-based and taxonomic knowledge structures, as proposed by Nelson (1985, 1986). In general, preschool children were able to provide event-based, but not slot-filler or taxonomic, relations; kindergarten children were able to provide event-based or slot-filler
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Hoxha, Julia, Guoqian Jiang, and Chunhua Weng. "Automated learning of domain taxonomies from text using background knowledge." Journal of Biomedical Informatics 63 (October 2016): 295–306. http://dx.doi.org/10.1016/j.jbi.2016.09.002.

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25

Medelyan, Olena, Ian H. Witten, Anna Divoli, and Jeen Broekstra. "Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3, no. 4 (2013): 257–79. http://dx.doi.org/10.1002/widm.1097.

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26

Sacco, Giovanni. "Exploratory Access to Wikipedia through Faceted Dynamic Taxonomies." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 5 (2021): 89–95. http://dx.doi.org/10.1609/icwsm.v9i5.14694.

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Users currently access Wikipedia through two traditional paradigms, text search and hypertext navigation. We believe that user access can be significantly improved by supporting a systematic conceptual exploration of the knowledge base through dynamic taxonomies with a faceted taxonomy organization. This approach allows the easy manipulation of sets of documents and the systematic and intuitive exploration of complex knowledge bases.
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Barker, Philip. "Organising Knowledge: Taxonomies, Knowledge and Organisational Effectiveness20076Patrick Lambe. Organising Knowledge: Taxonomies, Knowledge and Organisational Effectiveness. Oxford, UK: Chandos Publishing Ltd 2007. 277 pp., ISBN: 1‐84334‐227‐8 £39‐95 soft cover." Electronic Library 25, no. 5 (2007): 632–33. http://dx.doi.org/10.1108/el.2007.25.5.632.6.

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Michna, Anna. "Organizational knowledge: definitions, taxonomies, and metaphors in a digital transformation environment." Scientific Papers of Silesian University of Technology. Organization and Management Series 2023, no. 190 (2023): 95–107. http://dx.doi.org/10.29119/1641-3466.2023.190.7.

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Purpose: In the era of digital transformation, organizational knowledge becomes even more important than before in building the competitive advantage of enterprises (Malerba et al., 2020; Santorno et al., 2018; Chen et al., 2023). Digital transformation forces companies to rethink knowledge resources to meet current requirements. Design/methodology/approach: The research methods consist of a comprehensive and systematic domestic and foreign literature review of organizational knowledge definitions, taxonomies, and metaphors in a digital transformation environment. Findings: The development of
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Kasavin, Ilya. "Taxonomies between realism and constructionism." Philosophy Journal 17, no. 4 (2024): 164. https://doi.org/10.21146/2072-0726-2024-17-4-164-172.

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This article appeared as a response to the article by Anna Sakharova “Taxonomies and scientific communication: a sociocultural approach to scientific classifications”, which I read in the manuscript. It proposes a social-constructivist approach to taxonomies in sci­ence, drawing on a number of representative cases from biology, medicine, and linguis­tics. Generally agreeing with this approach, I will draw attention to a number of con­troversial details and arguments, as well as cite some considerations that allow, in my opinion, to present the classification activity in science in an even more
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Xu, Hongyuan, Yuhang Niu, Ciyi Liu, Yanlong Wen, and Xiaojie Yuan. "TaxoPro: A Plug-In LoRA-based Cross-Domain Method for Low-Resource Taxonomy Completion." Transactions of the Association for Computational Linguistics 13 (2025): 557–76. https://doi.org/10.1162/tacl_a_00755.

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Abstract Low-resource taxonomy completion aims to automatically insert new concepts into the existing taxonomy, in which only a few in-domain training samples are available. Recent studies have achieved considerable progress by incorporating prior knowledge from pre-trained language models (PLMs). However, these studies tend to overly rely on such knowledge and neglect the shareable knowledge across different taxonomies. In this paper, we propose TaxoPro, a plug-in LoRA-based cross-domain method, that captures shareable knowledge from the high- resource taxonomy to improve PLM-based low-resour
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Wei, Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, and Guohui Li. "Integrating Community Question and Answer Archives." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 1255–60. http://dx.doi.org/10.1609/aaai.v25i1.8086.

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Question and answer pairs in Community Question Answering (CQA) services are organized into hierarchical structures or taxonomies to facilitate users to find the answers for their questions conveniently. We observe that different CQA services have their own knowledge focus and used different taxonomies to organize their question and answer pairs in their archives. As there are no simple semantic mappings between the taxonomies of the CQA services, the integration of CQA services is a challenging task. The existing approaches on integrating taxonomies ignore the hierarchical structures of the s
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McCrae, John P., Pranab Mohanty, Siddharth Narayanan, et al. "Conversation Concepts: Understanding Topics and Building Taxonomies for Financial Services." Information 12, no. 4 (2021): 160. http://dx.doi.org/10.3390/info12040160.

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Knowledge graphs are proving to be an increasingly important part of modern enterprises, and new applications of such enterprise knowledge graphs are still being found. In this paper, we report on the experience with the use of an automatic knowledge graph system called Saffron in the context of a large financial enterprise and show how this has found applications within this enterprise as part of the “Conversation Concepts Artificial Intelligence” tool. In particular, we analyse the use cases for knowledge graphs within this enterprise, and this led us to a new extension to the knowledge grap
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Sharma, Ravi S., Schubert Foo, and Miguel Morales-Arroyo. "Developing Corporate Taxonomies for Knowledge Auditability: A Framework for Good Practices." KNOWLEDGE ORGANIZATION 35, no. 1 (2008): 30–46. http://dx.doi.org/10.5771/0943-7444-2008-1-30.

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ROTH, CAMILLE, SERGEI OBIEDKOV, and DERRICK G. KOURIE. "ON SUCCINCT REPRESENTATION OF KNOWLEDGE COMMUNITY TAXONOMIES WITH FORMAL CONCEPT ANALYSIS." International Journal of Foundations of Computer Science 19, no. 02 (2008): 383–404. http://dx.doi.org/10.1142/s0129054108005735.

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We present an application of formal concept analysis aimed at representing a meaningful structure of knowledge communities in the form of a lattice-based taxonomy. The taxonomy groups together agents (community members) who develop a set of notions. If no constraints are imposed on how it is built, a knowledge community taxonomy may become extremely complex and difficult to analyze. We consider two approaches to building a concise representation, respecting the underlying structural relationships while hiding superfluous information: a pruning strategy based on the notion of concept stability
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Gould, Nicholas, and William Mackaness. "From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping." Cartography and Geographic Information Science 43, no. 3 (2015): 208–22. http://dx.doi.org/10.1080/15230406.2015.1072737.

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SmithBattle, Lee, and Margaret Diekemper. "Promoting Clinical Practice Knowledge in an Age of Taxonomies and Protocols." Public Health Nursing 18, no. 6 (2001): 401–8. http://dx.doi.org/10.1046/j.1525-1446.2001.00401.x.

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Sancho-Chavarria, Lilliana, Fabian Beck, and Erick Mata-Montero. "An expert study on hierarchy comparison methods applied to biological taxonomies curation." PeerJ Computer Science 6 (June 29, 2020): e277. http://dx.doi.org/10.7717/peerj-cs.277.

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Comparison of hierarchies aims at identifying differences and similarities between two or more hierarchical structures. In the biological taxonomy domain, comparison is indispensable for the reconciliation of alternative versions of a taxonomic classification. Biological taxonomies are knowledge structures that may include large amounts of nodes (taxa), which are typically maintained manually. We present the results of a user study with taxonomy experts that evaluates four well-known methods for the comparison of two hierarchies, namely, edge drawing, matrix representation, animation and agglo
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Erkimbaev, Adilbek O., Vladimir Yu Zitserman, Georgii A. Kobzev, and Andrey V. Kosinov. "Ontological Concepts and Taxonomies for Nano World." Journal of Information & Knowledge Management 18, no. 02 (2019): 1950014. http://dx.doi.org/10.1142/s021964921950014x.

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The purpose of the paper is to provide a detailed overview of the methods of indexing and categorizing data generated to solve problems in a complex and multifaceted field of knowledge related to the application of nanotechnology. Analysis of the capabilities and restrictions of various categorization methods are applied to the issues of the subject field, starting with simple classification schemes and up to high level ontologies. The content of integrating methods and approaches developed in many natural sciences is considered: life science, chemistry, material science, etc. The main restric
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Liu, Jingping, Menghui Wang, Chao Wang, et al. "Learning Term Embeddings for Lexical Taxonomies." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (2021): 6410–17. http://dx.doi.org/10.1609/aaai.v35i7.16795.

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Lexical taxonomies, a special kind of knowledge graph, are essential for natural language understanding. This paper studies the problem of lexical taxonomy embedding. Most existing graph embedding methods are difficult to apply to lexical taxonomies since 1) they ignore implicit but important information, namely, sibling relations, which are not explicitly mentioned in lexical taxonomies and 2) there are lots of polysemous terms in lexical taxonomies. In this paper, we propose a novel method for lexical taxonomy embedding. This method optimizes an objective function that models both hyponym-hy
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Farias da Costa, Viviane Cunha, Luiz Oliveira, and Jano de Souza. "Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy." Sensors 21, no. 2 (2021): 568. http://dx.doi.org/10.3390/s21020568.

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The paradigm of the Internet of everything (IoE) is advancing toward enriching people’s lives by adding value to the Internet of things (IoT), with connections among people, processes, data, and things. This paper provides a survey of the literature on IoE research, highlighting concerns in terms of intelligence services and knowledge creation. The significant contributions of this study are as follows: (1) a systematic literature review of IoE taxonomies (including IoT); (2) development of a taxonomy to guide the identification of critical knowledge in IoE applications, an in-depth classifica
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Harwood, Kelly, and Penelope Sanderson. "Skills, Rules and Knowledge: A Discussion of Rasmussen's Classification." Proceedings of the Human Factors Society Annual Meeting 30, no. 10 (1986): 1002–6. http://dx.doi.org/10.1177/154193128603001014.

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In this paper a discussion is presented of the antecedents, the emergence, and the impact of Rasmussen's skill, rule, and knowledge based behavior classification. While level-based behavioral taxonomies have been used in the past, Rasmussen's use of the concept for describing human control of complex systems has had a widespread impact. It has aided interdisciplinary communication and has provided an organizing rubric for vast areas of research.
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HARABAGIU, SANDA M., MARIUS A. PAŞCA, and STEVEN J. MAIORANO. "A KNOWLEDGE-BASED ANSWER ENGINE FOR OPEN-DOMAIN QUESTIONS." International Journal on Artificial Intelligence Tools 10, no. 01n02 (2001): 199–224. http://dx.doi.org/10.1142/s0218213001000489.

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This paper describes a knowledge-based methodology of mining textual answers from large collections of texts. We present an answer engine capable of providing answers to any question posed in natural language, regardless of the domain of interest. The answers are produced by combining semantic data from question taxonomies with information abductively inferred from texts. The high precision of the retrieved answers is due to novel, efficient knowledge processing techniques.
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Stewart, Samuel Alan, and Syed Sibte Raza Abidi. "Leveraging medical taxonomies to improve knowledge management within online communities of practice: The knowledge maps system." Computer Methods and Programs in Biomedicine 143 (May 2017): 121–27. http://dx.doi.org/10.1016/j.cmpb.2017.03.003.

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Sakharova, Anna. "Taxonomies and scientific communications: a sociocultural approach to scientific classifications." Philosophy Journal 17, no. 4 (2024): 144. https://doi.org/10.21146/2072-0726-2024-17-4-144-156.

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The idea that there are objective natural species in nature has a long history and continues to be widely accepted. This approach assumes that science directly describes the world by formulating laws of nature based solely on empirical data. However, there are method­ological and practical contradictions in the process of constructing taxonomies, such as the impossibility of choosing a single classification criterion or establishing boundaries between taxonomic classes. These issues can be resolved by understanding taxonomies from a communicative and socio-cultural perspective. Taxonomies are
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Drucker, Johanna. "Viewpoint: Hetero-ontologies and taxonomies in the wild." Art Libraries Journal 46, no. 2 (2021): 36–39. http://dx.doi.org/10.1017/alj.2021.2.

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An optimistic spirit of progressive pluralism accompanied early digital work in the arts and humanities. The singular “universe” of knowledge would be amplified into a “multiverse” through faceted approaches embodying varied cultural—and even individual–viewpoints. Precisely how this utopian ideal was to be realized—through customized search or fluid ontologies or other semantic web technology—was not clear. But the motivations combined creative impulses for decolonizing and diversifying information systems.
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Smith, Arthur. "Simple Knowledge Organization System (SKOS)." KNOWLEDGE ORGANIZATION 49, no. 5 (2022): 371–84. http://dx.doi.org/10.5771/0943-7444-2022-5-371.

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SKOS (Simple Knowledge Organization System) is a recommendation from the World Wide Web Consortium (W3C) for representing controlled vocabularies, taxonomies, thesauri, classifications, and similar systems for organizing and indexing information as linked data elements in the Semantic Web, using the Resource Description Framework (RDF). The SKOS data model is centered on “concepts”, which can have preferred and alternate labels in any language as well as other metadata, and which are identified by addresses on the World Wide Web (URIs). Concepts are grouped into hierarchies through “broader” a
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47

Hearn, Stephen. "Book Review: Structures for Organizing Knowledge: Exploring Taxonomies, Ontologies, and Other Schemas." Library Resources & Technical Services 55, no. 3 (2011): 173–74. http://dx.doi.org/10.5860/lrts.55n3.173.

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Saeed, Hamid, and Abdus Sattar Chaudhry. "Using Dewey decimal classification scheme (DDC) for building taxonomies for knowledge organisation." Journal of Documentation 58, no. 5 (2002): 575–83. http://dx.doi.org/10.1108/00220410210441595.

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Buselli, Irene, Luca Oneto, Carlo Dambra, et al. "Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports." Open Research Europe 1 (September 23, 2021): 110. http://dx.doi.org/10.12688/openreseurope.14040.1.

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Background: The air traffic management (ATM) system has historically coped with a global increase in traffic demand ultimately leading to increased operational complexity. When dealing with the impact of this increasing complexity on system safety it is crucial to automatically analyse the loss of separation (LoS) using tools able to extract meaningful and actionable information from safety reports. Current research in this field mainly exploits natural language processing (NLP) to categorise the reports, with the limitations that the considered categories need to be manually annotated by expe
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Buselli, Irene, Luca Oneto, Carlo Dambra, et al. "Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports." Open Research Europe 1 (February 18, 2022): 110. http://dx.doi.org/10.12688/openreseurope.14040.2.

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Background: The air traffic management (ATM) system has historically coped with a global increase in traffic demand ultimately leading to increased operational complexity. When dealing with the impact of this increasing complexity on system safety it is crucial to automatically analyse the losses of separation (LoSs) using tools able to extract meaningful and actionable information from safety reports. Current research in this field mainly exploits natural language processing (NLP) to categorise the reports,with the limitations that the considered categories need to be manually annotated by ex
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