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Journal articles on the topic 'Knowledge hierarchies'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Bergman, Michael K. "Hierarchy in Knowledge Systems." KNOWLEDGE ORGANIZATION 49, no. 1 (2022): 40–66. http://dx.doi.org/10.5771/0943-7444-2022-1-40.

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Hierarchies abound to help us organize our world. A hierarchy places items into a general order, where more ‘general’ is also more ‘abstract’. The etymology of hierarchy is grounded in notions of religious and social rank. This article, after a historical review, focuses on knowledge systems, an interloper of the term hierarchy since at least the 1800s. Hierarchies in knowledge systems include taxonomies, classification systems, or thesauri in information science, and systems for representing information and knowledge to computers, notably ontologies and knowledge representation languages. Hie

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2

Dickie, Carolyn. "Coordinating Knowledge Hierarchies in Management." Philosophy of Management 10, no. 1 (2011): 79–94. http://dx.doi.org/10.5840/pom201110112.

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3

Garicano, Luis, and Thomas N. Hubbard. "The Returns to Knowledge Hierarchies." Journal of Law, Economics, and Organization 32, no. 4 (2016): 653–84. http://dx.doi.org/10.1093/jleo/eww008.

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4

Billot, Antoine, and Bernard Walliser. "Epistemic properties of knowledge hierarchies." Journal of Mathematical Economics 32, no. 2 (1999): 185–205. http://dx.doi.org/10.1016/s0304-4068(98)00040-8.

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5

Scheurer, Sebastian, Salvatore Tedesco, Kenneth N. Brown, and Brendan O’Flynn. "Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition." Sensors 20, no. 4 (2020): 1208. http://dx.doi.org/10.3390/s20041208.

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Human activity recognition (HAR) has become an increasingly popular application of machine learning across a range of domains. Typically the HAR task that a machine learning algorithm is trained for requires separating multiple activities such as walking, running, sitting, and falling from each other. Despite a large body of work on multi-class HAR, and the well-known fact that the performance on a multi-class problem can be significantly affected by how it is decomposed into a set of binary problems, there has been little research into how the choice of multi-class decomposition method affect

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6

Heifetz, Aviad, and Dov Samet. "Hierarchies of knowledge: an unbounded stairway." Mathematical Social Sciences 38, no. 2 (1999): 157–70. http://dx.doi.org/10.1016/s0165-4896(99)00012-8.

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7

Saint-Paul, Gilles. "Knowledge hierarchies in the labor market." Journal of Economic Theory 137, no. 1 (2007): 104–26. http://dx.doi.org/10.1016/j.jet.2005.09.010.

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8

Brandenburger, Adam, and Eddie Dekel. "Hierarchies of Beliefs and Common Knowledge." Journal of Economic Theory 59, no. 1 (1993): 189–98. http://dx.doi.org/10.1006/jeth.1993.1012.

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9

Kostenko, K. I. "Ontologies' Closures Modeling by Formalisms of Semantic Hierarchies." Programmnaya Ingeneria 11, no. 6 (2020): 349–60. http://dx.doi.org/10.17587/prin.11.349-360.

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Schemes are studied for modeling the complex knowledge structures as synthesized from knowledge areas ontologies elements. These structures applications relate to knowledge life cycles and knowledge flows stages within intelligent systems. The format of semantic hierarchies is proposed as unified and universal for the synthesis of these structures. This allows replacing the general case of knowledge algebraic structures by special case of semantic hierarchies. Constructing the synthesized knowledge structures is performed by special operations knowledge algebraic structures in any knowledge r

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10

Dayan, Peter. "Images, Frames, and Connectionist Hierarchies." Neural Computation 18, no. 10 (2006): 2293–319. http://dx.doi.org/10.1162/neco.2006.18.10.2293.

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The representation of hierarchically structured knowledge in systems using distributed patterns of activity is an abiding concern for the connectionist solution of cognitively rich problems. Here, we use statistical unsupervised learning to consider semantic aspects of structured knowledge representation. We meld unsupervised learning notions formulated for multilinear models with tensor product ideas for representing rich information. We apply the model to images of faces.

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Vela, Sarah. "Knowledge Management, Diversity, and Professional Hierarchies in Libraries." Journal of Library Administration 58, no. 8 (2018): 835–60. http://dx.doi.org/10.1080/01930826.2018.1516950.

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12

Coley, John D., Brett Hayes, Christopher Lawson, and Michelle Moloney. "Knowledge, expectations, and inductive reasoning within conceptual hierarchies." Cognition 90, no. 3 (2004): 217–53. http://dx.doi.org/10.1016/s0010-0277(03)00159-8.

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13

Østerby, Tom. "Inheritance hierarchies in knowledge representation and programming languages." Science of Computer Programming 18, no. 2 (1992): 209–13. http://dx.doi.org/10.1016/0167-6423(92)90012-z.

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14

Garicano, Luis. "Hierarchies and the Organization of Knowledge in Production." Journal of Political Economy 108, no. 5 (2000): 874–904. http://dx.doi.org/10.1086/317671.

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15

Boyles, Deron. "Hierarchies of Knowledge, Negated Agency, and Competing Realisms?" Philosophy of Education 63 (2007): 172–74. http://dx.doi.org/10.47925/2007.172.

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16

Harmer, Russ, and Eugenia Oshurko. "Knowledge representation and update in hierarchies of graphs." Journal of Logical and Algebraic Methods in Programming 114 (August 2020): 100559. http://dx.doi.org/10.1016/j.jlamp.2020.100559.

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17

Kim, Heewon. "The Mutual Constitution of Social Media Use and Status Hierarchies in Global Organizing." Management Communication Quarterly 32, no. 4 (2018): 471–503. http://dx.doi.org/10.1177/0893318918779135.

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This study offers an in-depth account of the mutual constitution of technology use and status hierarchies in a global organization by investigating the use of enterprise social media (ESM). Analyses of individual interviews ( N = 32) and ESM posts ( N = 1,050) showed that (a) the visibility affordance was perceived and used differently by various status groups and (b) emerging patterns of ESM use contributed to the reproduction of status hierarchies. Specifically, increased communication visibility allowed dispersed workers to obtain previously unshared knowledge; however, the very same visibi

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18

Cho, Sung-Eui, Won Jun Lee, and Jonguk Kim. "Classification of Knowledge Areas/Hierarchies and Its Implications in Mass Customisation: An Exploratory Study." Journal of Information & Knowledge Management 06, no. 01 (2007): 45–55. http://dx.doi.org/10.1142/s0219649207001639.

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This paper explores the characteristics of knowledge management (KM) for mass customisation (MC) with respect to knowledge classification. The proposed knowledge classification framework classifies horizontal knowledge areas into customer, product, and process, and vertical knowledge hierarchies into strategic, conceptual, and operational. This provides useful strategic and operations insights in KM for MC. The classification framework explained different methods of knowledge process operations and different KM strategies. Therefore, firms intending to implement KM for MC need to consider the

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19

Testa, Alessandro. "Problematising Boundaries and ‘Hierarchies of Knowledge’ within European Anthropologies." Anthropological Journal of European Cultures 29, no. 2 (2020): 114–22. http://dx.doi.org/10.3167/ajec.2020.290210.

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Is European anthropology the product of a colonialist plot to gain intellectual hegemony? Was the epistemic posture of its main representatives in the past one of crypto-imperialism aimed at – and based upon – power, in the attempt to climb up the ‘hierarchy of knowledge’ and subjugate from its peak minor traditions of study? How can we think about the genealogy of Euro-anthropology (and its future progress) without necessarily capitulating to these narratives of powerism and to the grip of the radical post-colonial discourse, which has been growing mainstream of late? This piece seeks to brie

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20

Glymour, Clark. "The hierarchies of knowledge and the mathematics of discovery." Minds and Machines 1, no. 1 (1991): 75–95. http://dx.doi.org/10.1007/bf00360580.

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21

Rajan, S., J. Ghosh, and M. M. Crawford. "Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data." IEEE Transactions on Geoscience and Remote Sensing 44, no. 11 (2006): 3408–17. http://dx.doi.org/10.1109/tgrs.2006.878442.

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22

Müller-Merbach, Heiner. "Type and token, schema and actualisation: hierarchies of knowledge." Knowledge Management Research & Practice 5, no. 3 (2007): 222–23. http://dx.doi.org/10.1057/palgrave.kmrp.8500149.

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23

Giolas, A., and D. G. Toll. "A knowledge-based system for correlations using object hierarchies." Computers and Geotechnics 25, no. 3 (1999): 123–40. http://dx.doi.org/10.1016/s0266-352x(99)00023-3.

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24

Garicano, Luis, and Esteban Rossi-Hansberg. "Knowledge-Based Hierarchies: Using Organizations to Understand the Economy." Annual Review of Economics 7, no. 1 (2015): 1–30. http://dx.doi.org/10.1146/annurev-economics-080614-115748.

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25

Langthaler, Margarita, Nina Witjes, and Gabriele Slezak. "A critical reflection on knowledge hierarchies, language and development." Multicultural Education & Technology Journal 6, no. 4 (2012): 235–47. http://dx.doi.org/10.1108/17504971211279509.

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26

Liu, Weiyu, Angel Daruna, Zsolt Kira, and Sonia Chernova. "Path Ranking with Attention to Type Hierarchies." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 2893–900. http://dx.doi.org/10.1609/aaai.v34i03.5680.

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The objective of the knowledge base completion problem is to infer missing information from existing facts in a knowledge base. Prior work has demonstrated the effectiveness of path-ranking based methods, which solve the problem by discovering observable patterns in knowledge graphs, consisting of nodes representing entities and edges representing relations. However, these patterns either lack accuracy because they rely solely on relations or cannot easily generalize due to the direct use of specific entity information. We introduce Attentive Path Ranking, a novel path pattern representation t

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27

Livingston, Steven G. "Knowledge Hierarchies and the Politics of Ideas in American International Commodity Policy." Journal of Public Policy 12, no. 3 (1992): 223–42. http://dx.doi.org/10.1017/s0143814x00005705.

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ABSTRACTMultiple knowledges are available for utilisation in policy choice. The rank ordering of knowledges for use in decisionmaking is thus a fundamental predecision. This article shows how this predecision necessarily constrains the processes associated with a politics of ideas, using cases from American international commodity policy. Even when the supposed preconditions of this sort of politics are present, policy change did not occur when the proposed ideas arose from a knowledge accorded secondary status in policymaking circles. Several implications are discussed for the influence and t

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28

LI, DONG (HAOYUAN), ANNE LAURENT, and PASCAL PONCELET. "DISCOVERING FUZZY UNEXPECTED SEQUENCES WITH CONCEPT HIERARCHIES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17, supp01 (2009): 113–34. http://dx.doi.org/10.1142/s0218488509006054.

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Sequential pattern mining is the method that has received much attention in sequence data mining research and applications, however, a drawback is that it does not profit from prior knowledge of domains. In our previous work, we proposed a belief-driven method with fuzzy set theory for discovering the unexpected sequences that contradict existing knowledge of data, including occurrence constraints and semantic contradictions. In this paper, we present a new approach that discovers unexpected sequences with determining semantic contradictions by using concept hierarchies associated with the dat

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29

Sirotkina, I. E. "AGAINST EPISTEMOLOGICAL HIERARCHIES: ON THE VALUE OF FORMING BODILY KNOWLEDGE." Education & Pedagogy Journal, no. 1(1) (July 6, 2021): 5–20. http://dx.doi.org/10.23951/2782-2575-2021-1-5-20.

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The article reveals such concepts as “metis,” “body techniques,” “practical skill,” “kinesthetic intelligence,” and “movement skill.” These concepts are united by the fact that the accumulation of knowledge is presented as a largely unconscious process in which muscles play the same role as the brain. The essence of these concepts can be expressed in the term “bodily knowledge,” which contrasts itself in the epistemological sense with codified practical knowledge, instructions, and rules – techne. Bodily knowledge is based on movements and muscle sensations. Russian physiologist I.M. Sechenov

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30

Silverman, B. G., R. G. Wenig, and T. Wu. "Coping with ongoing knowledge acquisition from collaborating hierarchies of experts." ACM SIGART Bulletin, no. 108 (April 1989): 170–71. http://dx.doi.org/10.1145/63266.63302.

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31

Ramsay, Malcolm S., and Julie A. Teichroeb. "Anecdotes in Primatology: Temporal Trends, Anthropocentrism, and Hierarchies of Knowledge." American Anthropologist 121, no. 3 (2019): 680–93. http://dx.doi.org/10.1111/aman.13295.

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32

McNaughton, Bruce L. "Cortical hierarchies, sleep, and the extraction of knowledge from memory." Artificial Intelligence 174, no. 2 (2010): 205–14. http://dx.doi.org/10.1016/j.artint.2009.11.013.

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33

Rodríguez-Bárcenas, Gustavo, and María J. López-Huertas. "Saaty's analytic hierarchies method for knowledge organization in decision making." Journal of the American Society for Information Science and Technology 64, no. 7 (2013): 1454–67. http://dx.doi.org/10.1002/asi.22823.

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34

Bergström, Johanna. "Whose Knowledge Counts? The Struggle to Revitalise Indigenous Knowledges in Guatemala." Sustainability 13, no. 21 (2021): 11589. http://dx.doi.org/10.3390/su132111589.

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This paper investigates the role of indigenous knowledge in relation to ideas of sustainability focusing on Guatemala. Previous research on environmental engagement and public understanding of science demonstrates the importance of including different perspectives, including traditional forms of knowledges such as for example indigenous knowledges. Environmental governance and management are areas in which indigenous peoples strive towards an acceptance of indigenous knowledge to be placed next to Western scientific knowledge. The struggle concerns the management and control of indigenous terr

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35

Ding, Liya. "A Model of Hierarchical Knowledge Representation – Toward Knowware for Intelligent Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 10 (2007): 1232–40. http://dx.doi.org/10.20965/jaciii.2007.p1232.

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We propose a model for multiresolutionary knowledge representation; define concepts of domain, application, and working hierarchies; and discuss inference mechanisms in the knowledge hierarchy. We also introduce an automatic construction of the knowledge hierarchy for the development of intelligent systems.

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36

Rudolph, Norma. "Hierarchies of knowledge, incommensurabilities and silences in South African ECD policy: Whose knowledge counts?" Journal of Pedagogy 8, no. 1 (2017): 77–98. http://dx.doi.org/10.1515/jped-2017-0004.

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Abstract Policy for young children in South Africa is now receiving high-level government support through the ANC’s renewed commitment to redress poverty and inequity and creating ‘a better life for all’ as promised before the 1994 election. In this article, I explore the power relations, knowledge hierarchies and discourses of childhood, family and society in National Curriculum Framework (NCF) as it relates to children’s everyday contexts. I throw light on how the curriculum’s discourses relate to the diverse South African settings, child rearing practices and world-views, and how they inter

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37

Rothwell, D. J. "SNOMED-Based Knowledge Representation." Methods of Information in Medicine 34, no. 01/02 (1995): 209–13. http://dx.doi.org/10.1055/s-0038-1634589.

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Abstract:A standardized vocabulary and a standardized representation for this vocabulary are necessary prerequisites for the development of a computer-based patient record. A standard conceptual scheme or data structure for this vocabulary must be in place to define clinical events and to share data. SNOMED International is a detailed, fine grained, semantically typed and comprehensive computer processable vocabulary encompassing both human and veterinary medicine. Each term is placed in a standardized data structure that shows the term relationship within its own and other related taxonomic h

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38

Pandey, Atul, and Guy Bloch. "Krüppel-homologue 1 Mediates Hormonally Regulated Dominance Rank in a Social Bee." Biology 10, no. 11 (2021): 1188. http://dx.doi.org/10.3390/biology10111188.

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Dominance hierarchies are ubiquitous in invertebrates and vertebrates, but little is known on how genes influence dominance rank. Our gaps in knowledge are specifically significant concerning female hierarchies, particularly in insects. To start filling these gaps, we studied the social bumble bee Bombus terrestris, in which social hierarchies among females are common and functionally significant. Dominance rank in this bee is influenced by multiple factors, including juvenile hormone (JH) that is a major gonadotropin in this species. We tested the hypothesis that the JH responsive transcripti

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39

Dunajeva, Jekatyerina. "Power Hierarchies between the Researcher and Informants." Critical Romani Studies 1, no. 2 (2019): 124–43. http://dx.doi.org/10.29098/crs.v1i2.3.

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Scholars have long been interested in researching Roma; a form of “top-down research,” where the researcher analyzes, gathers data, and interviews the “objects” of the research, is still dominant in the field, although an increasing number of critics have been proposing ways of including Roma in knowledge production to shape the discourse about themselves. Exclusion of Roma in the process of research silences their voices and contributes to incomplete, flawed findings that often reinforce stereotypes. This paper takes a critical look at interactions and the power dynamics between the researche

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40

Ingham, Alan G., and Peter Donnelly. "Whose Knowledge Counts? The Production of Knowledge and Issues of Application in the Sociology of Sport." Sociology of Sport Journal 7, no. 1 (1990): 58–65. http://dx.doi.org/10.1123/ssj.7.1.58.

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This essay was prompted by and is a response to Yiannakis’ (1989) article in which he called for a more applied orientation on the part of sociologists of sport. In our response, we argue that Yiannakis’ position is flawed because he fails to explore the oftentimes political overdetermination of academic process and the links between the marketplace of physical culture and the prestige hierarchies that exist within the university—How do the two connect? We present a practical alternative to Yiannakis’ programmatic call for an applied sociology of sport.

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41

Zhang, Zhanqiu, Jianyu Cai, Yongdong Zhang, and Jie Wang. "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 3065–72. http://dx.doi.org/10.1609/aaai.v34i03.5701.

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Knowledge graph embedding, which aims to represent entities and relations as low dimensional vectors (or matrices, tensors, etc.), has been shown to be a powerful technique for predicting missing links in knowledge graphs. Existing knowledge graph embedding models mainly focus on modeling relation patterns such as symmetry/antisymmetry, inversion, and composition. However, many existing approaches fail to model semantic hierarchies, which are common in real-world applications. To address this challenge, we propose a novel knowledge graph embedding model—namely, Hierarchy-Aware Knowledge Graph

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42

Llansó, David, Marco Gómez-Martín, Pedro Gómez-Martín, and Pedro González-Calero. "Knowledge Guided Development of Videogames." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 7, no. 3 (2011): 8–13. http://dx.doi.org/10.1609/aiide.v7i3.12480.

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Due to the changing nature of videogames, the component-based architecture is the design of choice for managing game entities instead of the traditional static class hierarchies. A component-based architecture lets programmers edit entities as collections of components, which provide the entity with new functionalities. Such architecture promotes flexibility but makes the code more difficult to understand because entities are built at runtime by linking components. In this paper we present a semi-automatic process for moving from a class hierarchy to a component-based architecture. Through the

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43

Song, Jingjing, Xibei Yang, Xiaoning Song, Hualong Yu, and Jingyu Yang. "Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach." Journal of Intelligent & Fuzzy Systems 27, no. 3 (2014): 1107–17. http://dx.doi.org/10.3233/ifs-131074.

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44

Tokadlı, Güliz, and Karen M. Feigh. "Application of Abstraction Hierarchies to Incorporate Human Knowledge for Machine Learning." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, no. 1 (2015): 657–61. http://dx.doi.org/10.1177/1541931215591143.

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45

Cross, Michael. "Knowledge Hierarchies and the Politics of Educational Policy in South Africa." Education as Change 19, no. 2 (2015): 37–57. http://dx.doi.org/10.1080/16823206.2015.1085611.

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46

Kumaran, Dharshan, Hans Ludwig Melo, and Emrah Duzel. "The Emergence and Representation of Knowledge about Social and Nonsocial Hierarchies." Neuron 76, no. 3 (2012): 653–66. http://dx.doi.org/10.1016/j.neuron.2012.09.035.

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47

Hansen, Hanne Foss. "Organisation of evidence-based knowledge production: Evidence hierarchies and evidence typologies." Scandinavian Journal of Public Health 42, no. 13_suppl (2014): 11–17. http://dx.doi.org/10.1177/1403494813516715.

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48

Picard, Carol. "Gold standards and hierarchies: Should we shift to circles of knowledge?" NT Research 7, no. 4 (2002): 241–42. http://dx.doi.org/10.1177/136140960200700402.

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49

Gillam, Lee, Mariam Tariq, and Khurshid Ahmad. "Terminology and the construction of ontology." Terminology 11, no. 1 (2005): 55–81. http://dx.doi.org/10.1075/term.11.1.04gil.

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This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presented is a hybrid of statistical and linguistic techniques, employing statistical techniques initially to elicit a conceptual hierarchy, which is then aug

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50

Caicedo, Santiago, Robert E. Lucas, and Esteban Rossi-Hansberg. "Learning, Career Paths, and the Distribution of Wages." American Economic Journal: Macroeconomics 11, no. 1 (2019): 49–88. http://dx.doi.org/10.1257/mac.20170390.

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We develop a theory of career paths and earnings where agents organize in production hierarchies. Agents climb these hierarchies as they learn stochastically from others. Earnings grow as agents acquire knowledge and occupy positions with more subordinates. We contrast these and other implications with US census data for the period 1990 to 2010, matching the Lorenz curve of earnings and the observed mean experience-earnings profiles. We show the increase in wage inequality over this period can be rationalized with a shift in the level of the complexity and profitability of technologies relativ

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