Search (4829 results, page 1 of 242)

  1. Galvao, M.C. Barbosa => Barbosa Galvao, M.C.: 0.12
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  2. Chaves Guimarães, J.A.; Oliveira, E.T. de; Cabrini Gracio, M.C.: Theoretical referents in Knowledge Organization : a domain analysis of the Knowledge Organization journal (2012) 0.10
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    Abstract
    Aiming at contributing to the epistemological characterization of the area of knowledge organization, our goal is to analyze the KO journal, since its creation in 1993, as a knowledge domain, from a nuclear community of the most productive and greater impact authors, analyzing the dialogue among citing authors and cited ones, and also the co-citations established by the citing authors. We worked with a corpus of 310 articles published between 1993 and 2011 produced by a total of 360 authors. The relatively more productive authors, a group geographically concentrated in Europe (37%), North America (44%) and Asia (19%), is clearly explained by the historical European origin of the ISKO and by an increasing North American presence along the years. Of the 33 most cited authors, 22 were co-cited in at least 6 works, which suggests that they are the theoretical referential nucleus of the area, in the studied journal. Finally, we observe that the area reveals theme cohesion and coherence in its production, enabling us to clearly visualize its theoretical referential nucleus and to confirm the role performed by the KO magazine as a catalyzing agent of international theoretical construction in the area.
  3. Grácio, M.C.C. => Cabrini Grácio, M.C.: 0.10
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  4. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.10
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    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  5. Cabrini Gracio, M.C. -> Gracio, M.C.C.: 0.09
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  6. Gödert, W.; Hubrich, J.; Boteram, F.: Thematische Recherche und Interoperabilität : Wege zur Optimierung des Zugriffs auf heterogen erschlossene Dokumente (2009) 0.08
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    Source
    https://opus4.kobv.de/opus4-bib-info/frontdoor/index/index/searchtype/authorsearch/author/%22Hubrich%2C+Jessica%22/docId/703/start/0/rows/20
  7. LaRue, J.: ¬A superhighway to the world (1993) 0.08
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  8. Connaway, L.S.; Sievert, M.C.: Comparison of three classification systems for information on health insurance (1996) 0.07
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    Date
    22. 4.1997 21:10:19
  9. Joyce, M.C.; Long, K.S.: Controlled vocabulary as communication : the process of negotiating meaning in an indigenous knowledge organization system (2022) 0.06
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    Abstract
    This article outlines the early process and reflects on the experiences of the authors as members of a team creating a Hawaiian knowledge organization system. The authors put forward shared understanding as a process, not a goal, and a way to reimagine and elucidate the process of knowledge organization work. As the project has progressed, team members have embraced their work as not solely knowledge creation and organization, but also communication. The group has identified a metaphorical frame, community agreements, knowledge graphs, and authority record templates as communication tools that are critical to creating a shared space to discuss meaning.
  10. Arboit, A.E.; Cabrini Gracio, M.C.; Oliveira, E.F.T. de; Bufrem, L.S.: ¬The relationship between authors and main thematic categories in the field of knowledge organization : a bibliometric approach (2012) 0.06
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    Abstract
    This is a study about the relationships between authors and the main thematic categories in the papers published in the last five International ISKO Conferences, held between 2002 and 2010. The aim is to map the domain as ISKO conferences are considered the most representative forum in the field. The published papers are considered to indicate the relationships between authors and themes. The Classification Scheme for Knowledge Organization Literature (CSKOL) was used to categorize the papers. The theoretical and methodological foundations of the study can be found in the concept of domain analysis proposed by Hjørland. The analysis of the papers (n=146) led to the identification of the most productive authors, the networks representing the relationships between the authors as also the categories that constitute the primary areas of research.
  11. Sievert, M.C.; Andrews, M.J.: Indexing consistency in Information Science Abstracts (1991) 0.06
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  12. Gechman, M.C.: Generation and use of machine-readable bibliographic data bases (1972) 0.06
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  13. L'Homme, M.C.: Understanding specialized lexical combinations : towards an alternative paradigm (2000) 0.06
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  14. Giunti, M.C.: Soggettazione (2002) 0.06
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  15. Yovits, M.C.; Foulk, C.R.; Rose, L.: Information flow and analysis : theory, simulation and experiments. Pt.1: Basic theoretical and conceptual developments (1981) 0.05
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  16. Hirsch, M.C.: SUBITO - eine neue Initiative von Bund und Ländern zur schnellen Lieferung wissenschaftlicher Dokumente (1995) 0.05
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  17. Sonnenwald, D.H.; Whitton, M.C.; Maglaughlin, K.L.: Scientific collaboratories : evaluating their potential (2002) 0.05
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  18. Hert, C.A.; Denn, S.O.; Gillman, D.W.; Oh, J.S.; Pattuelli, M.C.; Hernandez, N.: Investigating and modeling metadata use to support information architecture development in the statistical knowledge network (2007) 0.05
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    Abstract
    Metadata and an appropriate metadata model are nontrivial components of information architecture conceptualization and implementation, particularly when disparate and dispersed systems are integrated. Metadata availability can enhance retrieval processes, improve information organization and navigation, and support management of digital objects. To support these activities efficiently, metadata need to be modeled appropriately for the tasks. The authors' work focuses on how to understand and model metadata requirements to support the work of end users of an integrative statistical knowledge network (SKN). They report on a series of user studies. These studies provide an understanding of metadata elements necessary for a variety of user-oriented tasks, related business rules associated with the use of these elements, and their relationship to other perspectives on metadata model development. This work demonstrates the importance of the user perspective in this type of design activity and provides a set of strategies by which the results of user studies can be systematically utilized to support that design.
  19. West, J.D.; Jensen, M.C.; Dandrea, R.J.; Gordon, G.J.; Bergstrom, C.T.: Author-level Eigenfactor metrics : evaluating the influence of authors, institutions, and countries within the social science research network community (2013) 0.05
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    Abstract
    In this article, we show how the Eigenfactor score, originally designed for ranking scholarly journals, can be adapted to rank the scholarly output of authors, institutions, and countries based on author-level citation data. Using the methods described in this article, we provide Eigenfactor rankings for 84,808 disambiguated authors of 240,804 papers in the Social Science Research Network (SSRN)-a preprint and postprint archive devoted to the rapid dissemination of scholarly research in the social sciences and humanities. As an additive metric, the Eigenfactor scores are readily computed for collectives such as departments or institutions as well. We show that a collective's Eigenfactor score can be computed either by summing the Eigenfactor scores of its members or by working directly with a collective-level cross-citation matrix. We provide Eigenfactor rankings for institutions and countries in the SSRN repository. With a network-wide comparison of Eigenfactor scores and download tallies, we demonstrate that Eigenfactor scores provide information that is both different from and complementary to that provided by download counts. We see author-level ranking as one filter for navigating the scholarly literature, and note that such rankings generate incentives for more open scholarship, because authors are rewarded for making their work available to the community as early as possible and before formal publication.
  20. Zhu, Y.; Quan, L.; Chen, P.-Y.; Kim, M.C.; Che, C.: Predicting coauthorship using bibliographic network embedding (2023) 0.05
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    Abstract
    Coauthorship prediction applies predictive analytics to bibliographic data to predict authors who are highly likely to be coauthors. In this study, we propose an approach for coauthorship prediction based on bibliographic network embedding through a graph-based bibliographic data model that can be used to model common bibliographic data, including papers, terms, sources, authors, departments, research interests, universities, and countries. A real-world dataset released by AMiner that includes more than 2 million papers, 8 million citations, and 1.7 million authors were integrated into a large bibliographic network using the proposed bibliographic data model. Translation-based methods were applied to the entities and relationships to generate their low-dimensional embeddings while preserving their connectivity information in the original bibliographic network. We applied machine learning algorithms to embeddings that represent the coauthorship relationships of the two authors and achieved high prediction results. The reference model, which is the combination of a network embedding size of 100, the most basic translation-based method, and a gradient boosting method achieved an F1 score of 0.9 and even higher scores are obtainable with different embedding sizes and more advanced embedding methods. Thus, the strengths of the proposed approach lie in its customizable components under a unified framework.

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