Relevant bibliographies by topics / Dewey decimal classification (DDC)

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Academic literature on the topic 'Dewey decimal classification (DDC)'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Dewey decimal classification (DDC)"

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Green, Rebecca. "See-also relationships in the Dewey Decimal Classification." NASKO 3, no. 1 (November 2, 2011): 41. http://dx.doi.org/10.7152/nasko.v3i1.12789.

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This paper investigates the semantics of topical, associative see-also relationships in schedule and table entries of the Dewey Decimal Classification (DDC) system. Based on the see-also relationships in a random sample of 100 classes containing one or more of these relationships, a semi-structured inventory of sources of see-also relationships is generated, of which the most important are lexical similarity, complementarity, facet difference, and relational configuration difference. The premise that see-also relationships based on lexical similarity may be language-specific is briefly examined. The paper concludes with recommendations on the continued use of see-also relationships in the DDC.
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Mohamad, Rotmianto. "Observing Optional Number in DDC Edition 23." Record and Library Journal 1, no. 1 (January 2, 2018): 48. http://dx.doi.org/10.20473/rlj.v1-i1.2015.48-58.

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Dewey Decimal Classification is a most popular classification system in the world because of its completeness and most up-to-date. There are many optional number in this classification system, although it rarely to be discussed even it is important to known well about that optional number, especially for a librarian as classifier. This paper is a literature study about Dewey Decimal Classification Edition 23, to describe about optional numbers, particularly the number in relationship with Indonesia’s subject and discipline. This paper is to avoid misunderstanding in interpreted about optional number among librarians, especially for who that does not understand well about optional numbers.
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Rotmianto, Mohamad. "Observing Optional Number in DDC Edition 23." Record and Library Journal 1, no. 1 (April 29, 2015): 48. http://dx.doi.org/10.20473/rlj.v1i1.78.

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Dewey Decimal Classification is a most popular classification system in the world because of its completeness and most up-to-date. There are many optional number in this classification system, although it rarely to be discussed even it is important to known well about that optional number, especially for a librarian as classifier. This paper is a literature study about Dewey Decimal Classification Edition 23, to describe about optional numbers, particularly the number in relationship with Indonesia’s subject and discipline. This paper is to avoid misunderstanding in interpreted about optional number among librarians, especially for who that does not understand well about optional numbers.
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Merkley, Cari. "The Library of Congress, Dewey Decimal, and Universal Decimal Classification Systems are Incomplete and Unsystematic." Evidence Based Library and Information Practice 6, no. 4 (December 15, 2011): 134. http://dx.doi.org/10.18438/b8qk7s.

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Objective – To determine the extent to which knowledge is currently addressed by the Library of Congress (LCC), Dewey Decimal (DDC), and Universal Decimal (UDC) classification systems. Design – Comparative analysis of the LCC, DDC, and UDC systems using Zin’s 10 Pillars of Knowledge. Setting – The Faculty of Philosophy and Science at a Brazilian university. Subjects – Forty one subject-related classes and 386 subclasses from the first two levels of the LCC, DDC, and UDC systems. Methods – To evaluate the LCC, DDC, and UDC systems, the researchers employed the 10 Pillars of Knowledge, a “hierarchical knowledge tree” developed by the lead author of this study (p. 878). According to the authors, the 10 Pillars of Knowledge seek to illustrate relationships between fields of knowledge while capturing their breadth. The first level of the Pillars consists of the following categories: Knowledge, Supernatural, Matter and Energy, Space and Earth, Nonhuman Organizations, Body and Mind, Society, Thought and Art, Technology, and History. Each of the 10 Pillars is further subdivided, resulting in a four level hierarchical structure of 76 categories. Of the 76 categories, 55 are unique subject areas. A selection of subject-based classes and subclasses from the first two levels of the LCC, DDC, and UDC systems were then mapped to the relevant subclasses within the Pillars. Analysis was limited to the first two levels of LCC, DDC, and UDC, except for the LCC categories of BF and BL where further subclasses were analyzed. Classes or subclasses in LCC, DDC, or UDC that were not subject based (for example, those based on publication type) were excluded from the study. In total, 41 main classes and 386 subclasses from LLC, DDC, and UDC were categorized using the 10 Pillars. Main Results – The LLC, DDC, and UDC systems were deemed to be complete and systematic in their coverage of only three of the 10 Pillars: Matter and Energy, Thought and Art, and History. This means that there was at least one class or subclass in each of the three systems that corresponded to the subclasses in these pillars. The remaining seven pillars were only partially covered by the three systems to varying degrees. For example, the coverage of religion in LCC and DDC show evidence of a bias towards Christianity and incomplete coverage of other faiths. In addition to the lack of completeness in terms of subject coverage, the researchers found inconsistencies and problems with how relationships between subjects were illustrated by the systems. For example, botany should be a subclass of biology, but the subjects occupy the same level in the LCC, DDC, and UDC systems. Researchers also noted cases where subclasses on the same level were not mutually exclusive e.g., the BR (Christianity) and BS (The Bible) subclasses in LCC. Overall, LLC performed slightly better than DDC or UDC, covering 47 of the 55 unique subject categories in the 10 Pillars. It was followed by UDC with 44 out of 55, and DDC with 43 out of 55. Some of the 55 unique subject categories in the 10 Pillars system were not represented by any of the systems: 3 subclasses under Society (Society at Large – Area Based, Social Groups – Age, and Social Groups – Ethnicity), 2 under Technology (Technologies – Materials and Technologies – Processes), and 1 under Foundations (Methodology). Conclusion – The researchers conclude that none of the three major classification systems analyzed provides complete and systematic coverage of the world of knowledge, and call for the library community to move to new systems, such as the 10 Pillars of Knowledge.
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Patterson, Jordan. "Dewey Decimal Classification Trending Downward in U.S. Academic Libraries, but Unlikely to Disappear Completely." Evidence Based Library and Information Practice 14, no. 3 (September 12, 2019): 156–58. http://dx.doi.org/10.18438/eblip29592.

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A Review of: Lund, B., & Agbaji, D. (2018). Use of Dewey Decimal Classification by academic libraries in the United States. Cataloging and Classification Quarterly, 56(7), 653-661. https://doi.org/10.1080/01639374.2018.1517851 Abstract Objective – To determine the current use of Dewey Decimal Classification in academic libraries in the United States of America (U.S.). Design – Cross-sectional survey using a systematic sampling method. Setting – Online academic library catalogues in the U.S. Subjects – 3,973 academic library catalogues. Methods – The researchers identified 3,973 academic libraries affiliated with degree-granting post-secondary institutions in the U.S. The researchers searched each library’s online catalogue for 10 terms from a predetermined list. From the results of each search, the researchers selected at least five titles, noted the classification scheme used to classify each title, and coded the library as using Dewey Decimal Classification (DDC), Library of Congress Classification (LCC), both DDC and LCC, or other classification schemes. Based on the results of their data collection, the researchers calculated totals. The totals of this current study’s data collection were compared to statistics on DDC usage from two previous reports, one published in 1975 and one in 1996. The researchers performed statistical analyses to determine if there were any discernible trends from the earliest reported statistics through to the current study. Main Results – Collections classified using DDC were present in 717 libraries (18.9%). Adjusting for the increase in the number of academic libraries in the U.S. between 1975 and 2017, DDC usage in academic libraries has declined by 56% in that time frame. The number of libraries with only DDC in evidence is unreported. Conclusion – The previous four decades have seen a significant decrease in the use of DDC in U.S. academic libraries in favour of LCC; however, the rate at which DDC has disappeared from academic libraries has slowed dramatically since the 1960s. There is no clear indication that DDC will disappear from academic libraries completely.
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Golub, Koraljka, Johan Hagelbäck, and Anders Ardö. "Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches." Journal of Data and Information Science 5, no. 1 (April 22, 2020): 18–38. http://dx.doi.org/10.2478/jdis-2020-0003.

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AbstractPurposeWith more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of six machine learning algorithms as well as a string-matching algorithm based on characteristics of DDC.Design/methodology/approachState-of-the-art machine learning algorithms require at least 1,000 training examples per class. The complete data set at the time of research involved 143,838 records which had to be reduced to top three hierarchical levels of DDC in order to provide sufficient training data (totaling 802 classes in the training and testing sample, out of 14,413 classes at all levels).FindingsEvaluation shows that Support Vector Machine with linear kernel outperforms other machine learning algorithms as well as the string-matching algorithm on average; the string-matching algorithm outperforms machine learning for specific classes when characteristics of DDC are most suitable for the task. Word embeddings combined with different types of neural networks (simple linear network, standard neural network, 1D convolutional neural network, and recurrent neural network) produced worse results than Support Vector Machine, but reach close results, with the benefit of a smaller representation size. Impact of features in machine learning shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. The greatest impact is produced by the number of training examples: 81.90% accuracy on the training set is achieved when at least 1,000 records per class are available in the training set, and 66.13% when too few records (often less than 100 per class) on which to train are available—and these hold only for top 3 hierarchical levels (803 instead of 14,413 classes).Research limitationsHaving to reduce the number of hierarchical levels to top three levels of DDC because of the lack of training data for all classes, skews the results so that they work in experimental conditions but barely for end users in operational retrieval systems.Practical implicationsIn conclusion, for operative information retrieval systems applying purely automatic DDC does not work, either using machine learning (because of the lack of training data for the large number of DDC classes) or using string-matching algorithm (because DDC characteristics perform well for automatic classification only in a small number of classes). Over time, more training examples may become available, and DDC may be enriched with synonyms in order to enhance accuracy of automatic classification which may also benefit information retrieval performance based on DDC. In order for quality information services to reach the objective of highest possible precision and recall, automatic classification should never be implemented on its own; instead, machine-aided indexing that combines the efficiency of automatic suggestions with quality of human decisions at the final stage should be the way for the future.Originality/valueThe study explored machine learning on a large classification system of over 14,000 classes which is used in operational information retrieval systems. Due to lack of sufficient training data across the entire set of classes, an approach complementing machine learning, that of string matching, was applied. This combination should be explored further since it provides the potential for real-life applications with large target classification systems.
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Khoo, Michael John, Jae-wook Ahn, Ceri Binding, Hilary Jane Jones, Xia Lin, Diana Massam, and Douglas Tudhope. "Augmenting Dublin Core digital library metadata with Dewey Decimal Classification." Journal of Documentation 71, no. 5 (September 14, 2015): 976–98. http://dx.doi.org/10.1108/jd-07-2014-0103.

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Purpose – The purpose of this paper is to describe a new approach to a well-known problem for digital libraries, how to search across multiple unrelated libraries with a single query. Design/methodology/approach – The approach involves creating new Dewey Decimal Classification terms and numbers from existing Dublin Core records. In total, 263,550 records were harvested from three digital libraries. Weighted key terms were extracted from the title, description and subject fields of each record. Ranked DDC classes were automatically generated from these key terms by considering DDC hierarchies via a series of filtering and aggregation stages. A mean reciprocal ranking evaluation compared a sample of 49 generated classes against DDC classes created by a trained librarian for the same records. Findings – The best results combined weighted key terms from the title, description and subject fields. Performance declines with increased specificity of DDC level. The results compare favorably with similar studies. Research limitations/implications – The metadata harvest required manual intervention and the evaluation was resource intensive. Future research will look at evaluation methodologies that take account of issues of consistency and ecological validity. Practical implications – The method does not require training data and is easily scalable. The pipeline can be customized for individual use cases, for example, recall or precision enhancing. Social implications – The approach can provide centralized access to information from multiple domains currently provided by individual digital libraries. Originality/value – The approach addresses metadata normalization in the context of web resources. The automatic classification approach accounts for matches within hierarchies, aggregating lower level matches to broader parents and thus approximates the practices of a human cataloger.
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Landry, Patrice. "Dewey Decimal Classification (DDC) at the Swiss National Library." Cataloging & Classification Quarterly 42, no. 3-4 (August 2006): 135–45. http://dx.doi.org/10.1300/j104v42n03_05.

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Green, Rebecca, and Michael Panzer. "The Interplay of Big Data, WorldCat, and Dewey." Advances in Classification Research Online 24, no. 1 (January 9, 2014): 51. http://dx.doi.org/10.7152/acro.v24i1.14677.

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As the premier example of big data in the bibliographic world, WorldCat has the potential to support knowledge discovery in many arenas. After giving evidence for a big data characterization of WorldCat, the paper explores this knowledge discovery potential from two perspectives related to the Dewey Decimal Classification (DDC) system: (1) how WorldCat data can inform development of the DDC (classification analytics) and (2) how DDC-classified content in WorldCat can shed light on the bibliographic world itself (collection analytics). In the realm of classification analytics, WorldCat data support decisions to modify the DDC by expanding or reducing the number of classes, adding topical coverage, or adding subject access points; data analysis can support recognition of (1) trending topics and (2) the faceted structure of subject domains. In the realm of collection analytics, the paper considers as possible applications the use of the DDC in the topical "fingerprinting" of categorized content in WorldCat or in performing a bibliographic gap analysis.
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Kim, Jeong-Hyen, and Ji-Hyun Moon. "A Study on the Development of the Abridged Dewey Decimal Classification." Journal of the Korean Society for Library and Information Science 43, no. 3 (September 30, 2009): 379–97. http://dx.doi.org/10.4275/kslis.2009.43.3.379.

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Dissertations / Theses on the topic "Dewey decimal classification (DDC)"

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Reiner, Ulrike. "Automatic Analysis of Dewey Decimal Classification Notations." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200701390.

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Ulrike Reiner, Verbundzentrale des Gemeinsamen Bibliotheksverbundes (VZG) Göttingen, stellte ihr Projekt der automatischen Analyse von Notationen der Dewey-Dezimalklassifikation (DDC) vor. DDC-Notationen zeichnen sich dadurch aus, dass sie in aller Regel lang und komplex sind und in ihrer Herstellung zahlreiche Regeln zu durchlaufen haben. Ihr Computerprogramm analysiert DDC-Notationen und gibt alle in einer DDC-Notation enthaltenen DDC-Notationen samt DDC-Klassenbenennungen aus. Die gewonnenen DDC-Klassenbenennungen können z.B. für eine DDC-basierte Suche verwendet werden.
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Mengel, Tina, and Katrin Müller. "Anreicherung des Zugangsvokabulars zur DDC durch multilinguale Schlagwörter." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200701370.

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Tina Mengel und Katrin Müller, Fachhochschule Köln, stellten CrissCross vor. Im Rahmen dieses Projektes, das von der DFG gefördert und kooperativ von der Deut­schen Nationalbibliothek und der Fachhochschule Köln durchgeführt wird, werden Schlagwörter der Schlagwortnormdatei (SWD) mit Notationen der Dewey-Dezimal-Klassifikation (DDC) verknüpft. Ziel ist die Erleichterung der thematischen Suche in heterogen erschlossenen Beständen.
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Heiner-Freiling, Magda. "DDC Deutsch – vom Projekt zur Dienstleistung." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200500685.

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Aus der Truppe der Beiträger, die überwiegend dezimalklassifikatorische Beiträge lieferten, gab Magda Heiner-Freiling, Die Deutsche Bibliothek, Frankfurt, einen Sachstandsbericht zum Projekt „DDC Deutsch“ und eine Vorausschau auf die zu erwartenden Dienstleistungen. Festzuhalten ist an dieser Stelle nur soviel, daß die Sachgruppen der Deutschen Nationalbibliografie seit Jahrgang 2004 auf DDC umgestellt sind; damit wurde unsere laufende Nationalbibliografie von einer hausgemachten Systematik in eine international gebräuchliche Klassifikation überführt. Dies entsprach auch der Empfehlung, die im Jahre 1998 von einer Expertenkommission des damaligen Deutschen Bibliotheksinstituts gegeben wurde, die überwiegend mit Mitgliedern der Gesellschaft für Klassifikation besetzt war. Mehr dazu findet sich unter www.ddc-deutsch.de
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Heiner-Freiling, Magda. "DDC Deutsch – vom Projekt zur Dienstleistung." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200701296.

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Das Original-Dokument wurde in das Format pdf umgewandelt. Aus der Truppe der Beiträger, die überwiegend dezimalklassifikatorische Beiträge lieferten, gab Magda Heiner-Freiling, Die Deutsche Bibliothek, Frankfurt, einen Sachstandsbericht zum Projekt „DDC Deutsch“ und eine Vorausschau auf die zu erwartenden Dienstleistungen. Festzuhalten ist an dieser Stelle nur soviel, daß die Sachgruppen der Deutschen Nationalbibliografie seit Jahrgang 2004 auf DDC umgestellt sind; damit wurde unsere laufende Nationalbibliografie von einer hausgemachten Systematik in eine international gebräuchliche Klassifikation überführt. Dies entsprach auch der Empfehlung, die im Jahre 1998 von einer Expertenkommission des damaligen Deutschen Bibliotheksinstituts gegeben wurde, die überwiegend mit Mitgliedern der Gesellschaft für Klassifikation besetzt war. Mehr dazu findet sich unter www.ddc-deutsch.de
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Ehn, Einar Gustav. "Man måste ställa upp : Hylluppställning på svenska högskole- och specialbibliotek som klassificerar i DDC." Thesis, Uppsala universitet, Institutionen för ABM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175668.

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The aim of this master's thesis is to examine how shelving is organized among Swedish libraries that have switched from the Swedish classification system SAB to using the DDC, and what problems arise in this process. The method used is interviewing librarians at Swedish university and special libraries. The Swedish national library announced their swap to the DDC in 2008, and several libraries followed suit. The reported advantages with a switch were mainly that using an international classification system meant that Swedish libraries would no longer have to undertake a time consuming classification work, since most of the foreign literature already is Dewey classified. Disadvantages were that the DDC is not adapted to Swedish circumstances. Research on open shelving show that obtaining a browsable book collection requires a broad shelf classification. If libraries motivate their shelving solution by wanting browsable collections, efforts will be made to keep shelf classification broad enough. Certain categories have by tradition been shelved separately in Swedish libraries, and this study seeks to find out if a classification shift changes this custom, and if so, whether or not this is only attributable to the change of classification. Findings show that libraries motivated their swapping of classification mostly by the perceived flaws of the SAB system, and not by the promise of saving time, nor by the benefits of the DDC system. Most librarians seemed to lack sufficient knowledge of the DDC, which may be a reason why librarians claimed that the workload necessary to re-shelve the stock was the biggest drawback with switching to the DDC. Most libraries desired browsable shelves, and therefore used shelf lists to better be able to adapt the classification system to the stock. The custom of shelving certain categories separately survived the classification swap for some categories, but not for others. In the latter case this can be ascribed to a dwindling use of these specific categories by the patrons.
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Seifert, Hans-Ulrich. "Dewey meets Krünitz." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200500700.

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Hans-Ulrich Seifert von der UB Trier stellte mit dem von der DFG geförderten Projekt Krünitz ein in jeder Hinsicht außergewöhnliches Digitalisierungsvorhaben vor. Es geht um die 140.000 Druckseiten der in 242 Bänden vorliegenden Oekonomisch-Technologischen Encyklopädie von Johann Georg Krünitz, die zwischen 1773 und 1858 entstand. Die Digitalisierung der 140.000 Druckseiten ist inzwischen erfolgt; als problematisch erwies sich gleichwohl, daß allein der lange Erscheinungszeitraum das seinige dazu tat, daß inhaltlich zusammengehörige Sachverhalte an vielerlei Alphabetstellen auftauchen. Hier setzen die Trierer Fachleute die DDC zur Klassifizierung aller Lemmata und Bilder ein und erreichen eine sachliche Gliederung und eine Gesamtschau, die in der Papierausgabe nicht zu erreichen war. Ein Beispiel: Das Suchwort Bier ergab 2.558 Treffer. Mehr hierzu unter www.kruenitz.uni-trier.de
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Fens, Michael, and Urban Lindgren. "Dewey Decimal Classification i Sverige? : En studie av synen på bibliografisk praktik i BIBSAM-bibliotekens katalogutredning." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18688.

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The aim of this thesis is to investigate the understanding of classification as it is manifested in the discussion of implementing DDC in the BIBSAM-libraries. This is accomplished through the answering of three questions: 1. How does the discussion go about the implementation of DDC in the "Cataloguing practises: a survey of Swedish research libraries" project?2. Have there been any criticism against the project or the implementation and, in that case, what does it say?3. How did the discussion go when an implementation of DDC was discussed in the beginning of the twentieth century?From the standpoint that bibliographic practice is to be understood as a social practice where sociohistorical considerations has to be taken when discussing knowledge organization, the authors scrutinised reports and articles regarding the "Cataloguing practises: a survey of Swedish research libraries" project, and conducted ten unstructured interviews with people with insight in the project or other relevant experiences of cataloguing and classification. The study shows that the argumentation in the discussion of the bibliographic practice mainly regards technological and economical aspects and that little interest is devoted to societal implications. The authors conclude that sociohistorical issues are given too little focus and make an attempt to place the bibliographic discussion in an institutional and ideological context.
Uppsatsnivå: D
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Gustafsson, Oskar. "Balkanisering och klassifikation : En komparativ studie av klassifikationen av forna Jugoslavien, beträffande språk, geografi och historia, i DDC och SAB." Thesis, Uppsala universitet, Institutionen för ABM, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-226962.

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This master's thesis examines the possibilities of correction and change in a classification scheme, with regard to the changes that occur in the world the classification system intends to describe. Applying a comparative method and classification theory, the classification of the example of the former Yugoslavia (1918-1941, 1945-1991), its republics and successor states, and the languages, formerly known as Serbo-Croatian are examined through a comparison of the main classes and divisions of language, geography, and history, in Dewey Decimal Classification (DDC), and Klassifikationssystem för svenska bibliotek [Classification for Swedish Libraries] (SAB). Eight editions of DDC, from 1876 to 2014, are compared to seven editions of SAB, from 1921 to 2013. The editions have been selected in order to show the changes prior to, and following, the First World War, changes after the Second World War, and changes following the collapse of Yugoslavia in 1991. The examination shows that both systems have updated their editions according to the changes in former Yugoslavia over the years. DDC has well constructed facet schedules, especially Table 2 concerning geography, but fails, in some cases, to construct a logic and hierarchical structure for the republics and languages of Yugoslavia, partly due to the fixed classes and divisions that survive from the very first edition of DDC from 1876, but also as a result of the decimal notation, and its limitations, itself. SAB seeks to construct a hierarchically logic and equal scheme for the languages, areas, and states of the former Yugoslavia. Although the facets for geography and chronology aren't as developed as the ones in DDC, the overall result is that of a logically consistent and hierarchically clear classification, with short notation codes, thanks to the alphabetic mixed notation, which allows more subdivisions than the numerals and the pure notation of DDC. This study is a two years master's thesis in Archive, Library and Museum studies.
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Rosberg, Sara. "Dewey i Sverige : En diskursanalys av den svenska bibliotekssektorns uttalanden om klassifikationssystemet DDK." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16563.

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Swedish libraries are currently discussing andimplementing the classification system Dewey (DDC).Most libraries in Sweden have used the Swedishclassification system SAB until recently. In 2008 TheRoyal Library of Sweden (KB) decided to switch fromSAB to DDC. Many academic libraries chose to followKB’s example and by January 2011 a switch was made atKB and at many academic libraries.The aim of this master thesis is to examine and analysethe library sector’s discussion that occurred before andduring the Swedish switch from SAB to DDC. The mainquestion asked is; What is being discussed about Dewey2010-2011 and in what manner? To organize and anlysethis discussion discourse analysis is used. Discourseanalysis by Laclau and Mouffe is used both as methodand theoretic ground. The material which has beenanalyzed consists of the library sector’s discussions andstatements found in journals, reports, blogs, meetingprotocols and seminar.The analysis shows four different discourses; thetransition discourse, the spatial discourse, the instrumentaldiscourse and the public library discourse. In conclusion,it can be argued that the transfer to Dewey has gone froma planning stage to an implementing stage at academiclibraries. Public libraries in Sweden have shown lessinterest and are considered to be in a planning stageparallel to the academic libraries implementing stage.Earlier discussions about pros and cons with Dewey havealmost disappeared 2010-2011 and discussions of spatialmatters are frequently occurring in the material.
Program: Bibliotekarie
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Balakrishnan, Uma. "Eine DDC-RVK-Konkordanz - Erste Erkenntnisse aus dem Gebiet „Medizin & Gesundheit"." Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-82838.

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Die wachsende Nachfrage der Nutzer nach dem Zugang zu internationalen bibliothekarischen Ressourcen verstärkt die Notwendigkeit zur Erstellung der seit mindestens über 15 Jahren gewünschten Konkordanzen von Klassifikationssystemen, z. B. zwischen dem in Deutschland stark verbreiteten Regensburger Verbundklassifikationssystem (RVK) und dem international weit verbreiteten Universalklassifikationssystem, der Dewey Dezimalklassifikation (DDC). Andererseits bleibt eine vollständige Konkordanz zwischen den beiden genannten Klassifikationssystemen aufgrund des erheblichen Aufwandes ein noch nahezu unberührtes Feld. Deshalb wurde Ende 2009 das Teilprojekt „coli-conc“ (DDC-Konkordanzen zu anderen Klassifikationssystemen) des VZG-Projektes Colibri/DDC initiiert. Anfang 2011 wurde mit der Erstellung einer Konkordanz (Gebiet „Medizin und Gesundheit“) zwischen dem DDC- und RVK-System begonnen. Davor und parallel dazu wurde eine vollständige EZB-DDC-Konkordanz für das Projekt „Nationallizenzen“ erstellt. Für die Ermittlung des Entwicklungsstandes zu vorhandenen DDC-RVK-Konkordanzen wurde eine auf Mailverteilern versendete Online-Umfrage ausgewertet. Die Erstellungsmethode der DDC-RVK-Konkordanz im Projekt „coli-conc“ erfolgt semi-automatisch mittels Ausschlussprinzip. Die ca. 1,5 Mio. große Titeldatensatzmenge, deren Titeldatensätze sowohl DDC- als auch RVK-Notationen enthalten, dient als Datenbasis für die semi-automatische Erstellung von DDC-RVK-Konkordanzen. Als Beispielbereich wurden für die DDC-Klasse „614 Rechtsmedizin; Inzidenz von Verletzungen, Wunden, Krankheiten; öffentliche Präventivmedizin“ eine bidirektionale Konkordanz und deren DDC-RVK-Korrelationsbeziehungen ermittelt. Im Vortrag werden die oben genannten Themen und erste Ergebnisse präsentiert.
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Books on the topic "Dewey decimal classification (DDC)"

1

Dewey, Melvil. DDC, Dewey decimal classification summaries. Dublin, Ohio: OCLC Online Computer Library Center, 2003.

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Press, Forest, ed. Summaries: DDC, Dewey Decimal Classification. Dublin, Ohio: Forest Press, a division of OCLC Online Computer Library Center, 2001.

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Soekarman. hukum Klasifikasi bahan pustaka tentang Indonesia menurut DDC. 2nd ed. Jakarta: Ikatan Pustakawan Indonesia, 1993.

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Dewey, Melvil. DDC, Dewey decimal classification.: Revision of edition 19. Albany, N.Y., U.S.A: Forest Press, 1985.

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The DDC, the universe of knowledge, and the post. Albany, N.Y: Forest Press, 1998.

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Davis, Sydney W. DDC 20 workbook: A practical introduction to the Dewey Decimal Classification. Albany, N.Y: Forest Press, 1992.

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Davis, Sydney W. digital logic design DDC 20 workbook: A practical introduction to the Dewey Decimal Classification. Wagga Wagga, N.S.W: Centre for Information Studies, Charles Sturt University-Riverina, 1990.

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Sifton, Pat. Workbook for DDC 21: Dewey Decimal classification, edition 21. Ottawa: Canadian Library Association, 1998.

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Sifton, Pat. Workbook for DDC 20: Dewey Decimal Classification, Edition 20. Ottawa: Canadian Library Association, 1989.

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Press, Forest, ed. Summaries: DDC 21, Dewey decimal classification, edition 21 : numbers you can count on. Albany, N.Y: Forest Press, a division of OCLC Online Computer Library Center, 1996.

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Book chapters on the topic "Dewey decimal classification (DDC)"

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Mitchell, Joan S. "Relationships in the Dewey Decimal Classification System." In Information Science and Knowledge Management, 211–26. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9696-1_14.

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Reiner, Ulrike. "Automatic Analysis of Dewey Decimal Classification Notations." In Data Analysis, Machine Learning and Applications, 697–704. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78246-9_82.

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"Dewey Decimal Classification (DDC)." In Encyclopedia of Library and Information Sciences, Third Edition, 1507–17. CRC Press, 2009. http://dx.doi.org/10.1081/e-elis3-120043240.

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"Dewey Decimal Classification (DDC)." In Encyclopedia of Library and Information Science, Fourth Edition, 1256–66. CRC Press, 2017. http://dx.doi.org/10.1081/e-elis4-120043240.

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"Useful DDC websites." In The Theory and Practice of the Dewey Decimal Classification System, 296. Elsevier, 2013. http://dx.doi.org/10.1016/b978-1-84334-738-5.50029-1.

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"Table of DDC Editors." In The Theory and Practice of the Dewey Decimal Classification System, 167. Elsevier, 2007. http://dx.doi.org/10.1016/b978-1-84334-234-2.50023-3.

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Landry, Patrice. "Dewey Decimal Classification (DDC) at the Swiss National Library." In Moving Beyond the Presentation Layer, 135–46. Routledge, 2013. http://dx.doi.org/10.4324/9780203051887-5.

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Satija, M. P. "Governance and revision of the DDC." In The Theory and Practice of the Dewey Decimal Classification System, 19–26. Elsevier, 2007. http://dx.doi.org/10.1016/b978-1-84334-234-2.50002-6.

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"A broad chronology of the DDC." In The Theory and Practice of the Dewey Decimal Classification System, 159–65. Elsevier, 2007. http://dx.doi.org/10.1016/b978-1-84334-234-2.50022-1.

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Satija, M. P. "Governance and revision of the DDC." In The Theory and Practice of the Dewey Decimal Classification System, 25–36. Elsevier, 2013. http://dx.doi.org/10.1016/b978-1-84334-738-5.50002-3.

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Conference papers on the topic "Dewey decimal classification (DDC)"

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Watthananon, Julaluk. "The relationship of text categorization using Dewey Decimal Classification techniques." In 2014 12th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2014). IEEE, 2014. http://dx.doi.org/10.1109/ictke.2014.7001538.

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Cavaglià, Gabriela. "The development of lexical resources for information extraction from text combining WordNet and Dewey Decimal Classification." In the ninth conference. Morristown, NJ, USA: Association for Computational Linguistics, 1999. http://dx.doi.org/10.3115/977035.977067.

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