Search (172 results, page 1 of 9)

  • × theme_ss:"Klassifikationstheorie: Elemente / Struktur"
  • × type_ss:"a"
  1. Slavic, A.: On the nature and typology of documentary classifications and their use in a networked environment (2007) 0.13 
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    Abstract
    Networked orientated standards for vocabulary publishing and exchange and proposals for terminological services and terminology registries will improve sharing and use of all knowledge organization systems in the networked information environment. This means that documentary classifications may also become more applicable for use outside their original domain of application. The paper summarises some characteristics common to documentary classifications and explains some terminological, functional and implementation aspects. The original purpose behind each classification scheme determines the functions that the vocabulary is designed to facilitate. These functions influence the structure, semantics and syntax, scheme coverage and format in which classification data are published and made available. The author suggests that attention should be paid to the differences between documentary classifications as these may determine their suitability for a certain purpose and may impose different requirements with respect to their use online. As we speak, many classifications are being created for knowledge organization and it may be important to promote expertise from the bibliographic domain with respect to building and using classification systems.
    Date
    22.12.2007 17:22:31
  2. Hjoerland, B.: Theories of knowledge organization - theories of knowledge (2017) 0.09 
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    Pages
    S.22-36
    Source
    Theorie, Semantik und Organisation von Wissen: Proceedings der 13. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und dem 13. Internationalen Symposium der Informationswissenschaft der Higher Education Association for Information Science (HI) Potsdam (19.-20.03.2013): 'Theory, Information and Organization of Knowledge' / Proceedings der 14. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und Natural Language & Information Systems (NLDB) Passau (16.06.2015): 'Lexical Resources for Knowledge Organization' / Proceedings des Workshops der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) auf der SEMANTICS Leipzig (1.09.2014): 'Knowledge Organization and Semantic Web' / Proceedings des Workshops der Polnischen und Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) Cottbus (29.-30.09.2011): 'Economics of Knowledge Production and Organization'. Hrsg. von W. Babik, H.P. Ohly u. K. Weber
  3. Bergman, M.K..: Hierarchy in knowledge systems (2022) 0.07 
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    Abstract
    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. Hierarchies are the logical underpinning of inference and reasoning in these systems, as well as the scaffolding for classification and inheritance. Hierarchies in knowledge systems express subsumption relations that have flexible variants, which we can represent algorithmically, and thus computationally. This article dissects that variability, leading to a proposed typology of hierarchies useful to knowledge systems. The article argues through a perspective informed by Charles Peirce that natural hierarchies are real, can be logically determined, and are the appropriate basis for knowledge systems. Description logics and semantic language standards reflect this perspective, importantly through their open-world logic and vocabularies for generalized subsumption hierarchies. Recent research suggests possible mechanisms for the emergence of natural hierarchies.
    Content
    Vgl.: https://www.nomos-elibrary.de/10.5771/0943-7444-2022-1/ko-knowledge-organization-jahrgang-49-2022-heft-1.
    Series
    Reviews of concepts in knowledge organization
    Source
    Knowledge organization. 49(2022) no.1, S.40 - 66
  4. Jacob, E.K.: Proposal for a classification of classifications built on Beghtol's distinction between "Naïve Classification" and "Professional Classification" (2010) 0.07 
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    Abstract
    Argues that Beghtol's (2003) use of the terms "naive classification" and "professional classification" is valid because they are nominal definitions and that the distinction between these two types of classification points up the need for researchers in knowledge organization to broaden their scope beyond traditional classification systems intended for information retrieval. Argues that work by Beghtol (2003), Kwasnik (1999) and Bailey (1994) offer direction for the development of a classification of classifications based on the pragmatic dimensions of extant classification systems. Bezugnahme auf: Beghtol, C.: Naïve classification systems and the global information society. In: Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine. Würzburg: Ergon Verlag 2004. S.19-22. (Advances in knowledge organization; vol.9)
    Source
    Knowledge organization. 37(2010) no.2, S.111-120
  5. Zarrad, R.; Doggaz, N.; Zagrouba, E.: Wikipedia HTML structure analysis for ontology construction (2018) 0.07 
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    Abstract
    Previously, the main problem of information extraction was to gather enough data. Today, the challenge is not to collect data but to interpret and represent them in order to deduce information. Ontologies are considered suitable solutions for organizing information. The classic methods for ontology construction from textual documents rely on natural language analysis and are generally based on statistical or linguistic approaches. However, these approaches do not consider the document structure which provides additional knowledge. In fact, the structural organization of documents also conveys meaning. In this context, new approaches focus on document structure analysis to extract knowledge. This paper describes a methodology for ontology construction from web data and especially from Wikipedia articles. It focuses mainly on document structure in order to extract the main concepts and their relations. The proposed methods extract not only taxonomic and non-taxonomic relations but also give the labels describing non-taxonomic relations. The extraction of non-taxonomic relations is established by analyzing the titles hierarchy in each document. A pattern matching is also applied in order to extract known semantic relations. We propose also to apply a refinement to the extracted relations in order to keep only those that are relevant. The refinement process is performed by applying the transitive property, checking the nature of the relations and analyzing taxonomic relations having inverted arguments. Experiments have been performed on French Wikipedia articles related to the medical field. Ontology evaluation is performed by comparing it to gold standards.
    Source
    Knowledge organization. 45(2018) no.2, S.108-124
  6. Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003) 0.06 
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    Abstract
    The different points of views an knowledge representation and organization from various research communities reflect underlying philosophies and paradigms in these communities. This paper reviews differences and relations in knowledge representation and organization and generalizes four paradigms-integrative and disintegrative pragmatism and integrative and disintegrative epistemologism. Examples such as classification, XML schemas, and ontologies are compared based an how they specify concepts, build data models, and encode knowledge organization structures. 1. Introduction Knowledge representation (KR) is a term that several research communities use to refer to somewhat different aspects of the same research area. The artificial intelligence (AI) community considers KR as simply "something to do with writing down, in some language or communications medium, descriptions or pictures that correspond in some salient way to the world or a state of the world" (Duce & Ringland, 1988, p. 3). It emphasizes the ways in which knowledge can be encoded in a computer program (Bench-Capon, 1990). For the library and information science (LIS) community, KR is literally the synonym of knowledge organization, i.e., KR is referred to as the process of organizing knowledge into classifications, thesauri, or subject heading lists. KR has another meaning in LIS: it "encompasses every type and method of indexing, abstracting, cataloguing, classification, records management, bibliography and the creation of textual or bibliographic databases for information retrieval" (Anderson, 1996, p. 336). Adding the social dimension to knowledge organization, Hjoerland (1997) states that knowledge is a part of human activities and tied to the division of labor in society, which should be the primary organization of knowledge. Knowledge organization in LIS is secondary or derived, because knowledge is organized in learned institutions and publications. These different points of views an KR suggest that an essential difference in the understanding of KR between both AI and LIS lies in the source of representationwhether KR targets human activities or derivatives (knowledge produced) from human activities. This difference also decides their difference in purpose-in AI KR is mainly computer-application oriented or pragmatic and the result of representation is used to support decisions an human activities, while in LIS KR is conceptually oriented or abstract and the result of representation is used for access to derivatives from human activities.
    Date
    12. 9.2004 17:22:35
    Series
    Advances in knowledge organization; vol.8
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  7. Olson, H.A.: Wind and rain and dark of night : classification in scientific discourse communities (2008) 0.06 
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    Content
    Classifications of natural phenomena demonstrate the applicability of discourse analysis in finding the importance of concepts such as warrant for categorization and classification. Temperature scales provide a body of official literature for close consideration. Official documents of the International Bureau of Weights and Measures (BIPM) reveal the reasoning behind choices affecting these standards. A more cursory scrutiny of the Saffir-Simpson Scale through scholarly publications and documentation from the National Institute of Standards and Technology (KIST) indicates the potential of this form of analysis. The same holds true for an examination of the definition of what is a planet as determined by the International Astronomical Union. As Sayers, Richardson, and Bliss have indicated, there seem to be principles and a reliance on context that bridge the differences between natural and artificial, scientific and bibliographic classifications.
    Series
    Advances in knowledge organization; vol.11
    Source
    Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
  8. Dousa, T.M.: Categories and the architectonics of system in Julius Otto Kaiser's method of systematic indexing (2014) 0.06 
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    Abstract
    Categories, or concepts of high generality representing the most basic kinds of entities in the world, have long been understood to be a fundamental element in the construction of knowledge organization systems (KOSs), particularly faceted ones. Commentators on facet analysis have tended to foreground the role of categories in the structuring of controlled vocabularies and the construction of compound index terms, and the implications of this for subject representation and information retrieval. Less attention has been paid to the variety of ways in which categories can shape the overall architectonic framework of a KOS. This case study explores the range of functions that categories took in structuring various aspects of an early analytico-synthetic KOS, Julius Otto Kaiser's method of Systematic Indexing (SI). Within SI, categories not only functioned as mechanisms to partition an index vocabulary into smaller groupings of terms and as elements in the construction of compound index terms but also served as means of defining the units of indexing, or index items, incorporated into an index; determining the organization of card index files and the articulation of the guide card system serving as a navigational aids thereto; and setting structural constraints to the establishment of cross-references between terms. In all these ways, Kaiser's system of categories contributed to the general systematicity of SI.
    Series
    Advances in knowledge organization; vol. 14
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  9. Beghtol, C.: Naïve classification systems and the global information society (2004) 0.06 
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    Abstract
    Classification is an activity that transcends time and space and that bridges the divisions between different languages and cultures, including the divisions between academic disciplines. Classificatory activity, however, serves different purposes in different situations. Classifications for infonnation retrieval can be called "professional" classifications and classifications in other fields can be called "naïve" classifications because they are developed by people who have no particular interest in classificatory issues. The general purpose of naïve classification systems is to discover new knowledge. In contrast, the general purpose of information retrieval classifications is to classify pre-existing knowledge. Different classificatory purposes may thus inform systems that are intended to span the cultural specifics of the globalized information society. This paper builds an previous research into the purposes and characteristics of naïve classifications. It describes some of the relationships between the purpose and context of a naive classification, the units of analysis used in it, and the theory that the context and the units of analysis imply.
    Footnote
    Vgl.: Jacob, E.K.: Proposal for a classification of classifications built on Beghtol's distinction between "Naïve Classification" and "Professional Classification". In: Knowledge organization. 37(2010) no.2, S.111-120.
    Pages
    S.19-22
    Series
    Advances in knowledge organization; vol.9
    Source
    Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine
  10. Beghtol, C.: Response to Hjoerland and Nicolaisen (2004) 0.05 
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    Abstract
    I am writing to correct some of the misconceptions that Hjoerland and Nicolaisen appear to have about my paper in the previous issue of Knowledge Organization. I would like to address aspects of two of these misapprehensions. The first is the faulty interpretation they have given to my use of the term "naïve classification," and the second is the kinds of classification systems that they appear to believe are discussed in my paper as examples of "naïve classifications." First, the term "naïve classification" is directly analogous to the widely-understood and widelyaccepted term "naïve indexing." It is not analogous to the terms to which Hjorland and Nicolaisen compare it (i.e., "naïve physics", "naïve biology"). The term as I have defined it is not pejorative. It does not imply that the scholars who have developed naïve classifications have not given profoundly serious thought to their own scholarly work. My paper distinguishes between classifications for new knowledge developed by scholars in the various disciplines for the purposes of advancing disciplinary knowledge ("naïve classifications") and classifications for previously existing knowledge developed by information professionals for the purposes of creating access points in information retrieval systems ("professional classifications"). This distinction rests primarily an the purpose of the kind of classification system in question and only secondarily an the knowledge base of the scholars who have created it. Hjoerland and Nicolaisen appear to have misunderstood this point, which is made clearly and adequately in the title, in the abstract and throughout the text of my paper.
    Second, the paper posits that these different reasons for creating classification systems strongly influence the content and extent of the two kinds of classifications, but not necessarily their structures. By definition, naïve classifications for new knowledge have been developed for discrete areas of disciplinary inquiry in new areas of knowledge. These classifications do not attempt to classify the whole of that disciplinary area. That is, naïve classifications have a explicit purpose that is significantly different from the purpose of the major disciplinary classifications Hjoer-land and Nicolaisen provide as examples of classifications they think I discuss under the rubric of "naïve classifications" (e.g., classifications for the entire field of archaeology, biology, linguistics, music, psychology, etc.). My paper is not concerned with these important classifications for major disciplinary areas. Instead, it is concerned solely and specifically with scholarly classifications for small areas of new knowledge within these major disciplines (e.g., cloth of aresta, double harpsichords, child-rearing practices, anomalous phenomena, etc.). Thus, I have nowhere suggested or implied that the broad disciplinary classifications mentioned by Hjoerland and Nicolaisen are appropriately categorized as "naïve classifications." For example, I have not associated the Periodic System of the Elements with naïve classifications, as Hjoerland and Nicolaisen state that I have done. Indeed, broad classifications of this type fall well outside the definition of naïve classifications set out in my paper. In this case, too, 1 believe that Hjorland and Nicolaisen have misunderstood an important point in my paper. I agree with a number of points made in Hjorland and Nicolaisen's paper. In particular, I agree that researchers in the knowledge organization field should adhere to the highest standards of scholarly and scientific precision. For that reason, I am glad to have had the opportunity to respond to their paper.
    Footnote
    Bezugnahme auf: Hjoerland, B., J. Nicolaisen: Scientific and scholarly classifications are not "naïve": a comment to Beghtol (2003). In: Knowledge organization. 31(2004) no.1, S.55-61. - Vgl. die Erwiderung von Nicolaisen und Hjoerland in KO 31(2004) no.3, S.199-201.
    Source
    Knowledge organization. 31(2004) no.1, S.62-63
  11. Putkey, T.: Using SKOS to express faceted classification on the Semantic Web (2011) 0.05 
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    Abstract
    This paper looks at Simple Knowledge Organization System (SKOS) to investigate how a faceted classification can be expressed in RDF and shared on the Semantic Web. Statement of the Problem Faceted classification outlines facets as well as subfacets and facet values. Hierarchical relationships and associative relationships are established in a faceted classification. RDF is used to describe how a specific URI has a relationship to a facet value. Not only does RDF decompose "information into pieces," but by incorporating facet values RDF also given the URI the hierarchical and associative relationships expressed in the faceted classification. Combining faceted classification and RDF creates more knowledge than if the two stood alone. An application understands the subjectpredicate-object relationship in RDF and can display hierarchical and associative relationships based on the object (facet) value. This paper continues to investigate if the above idea is indeed useful, used, and applicable. If so, how can a faceted classification be expressed in RDF? What would this expression look like? Literature Review This paper used the same articles as the paper A Survey of Faceted Classification: History, Uses, Drawbacks and the Semantic Web (Putkey, 2010). In that paper, appropriate resources were discovered by searching in various databases for "faceted classification" and "faceted search," either in the descriptor or title fields. Citations were also followed to find more articles as well as searching the Internet for the same terms. To retrieve the documents about RDF, searches combined "faceted classification" and "RDF, " looking for these words in either the descriptor or title.
    Methodology Based on information from research papers, more research was done on SKOS and examples of SKOS and shared faceted classifications in the Semantic Web and about SKOS and how to express SKOS in RDF/XML. Once confident with these ideas, the author used a faceted taxonomy created in a Vocabulary Design class and encoded it using SKOS. Instead of writing RDF in a program such as Notepad, a thesaurus tool was used to create the taxonomy according to SKOS standards and then export the thesaurus in RDF/XML format. These processes and tools are then analyzed. Results The initial statement of the problem was simply an extension of the survey paper done earlier in this class. To continue on with the research, more research was done into SKOS - a standard for expressing thesauri, taxonomies and faceted classifications so they can be shared on the semantic web.
  12. Zhang, J.; Zeng, M.L.: ¬A new similarity measure for subject hierarchical structures (2014) 0.05 
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    Abstract
    Purpose - The purpose of this paper is to introduce a new similarity method to gauge the differences between two subject hierarchical structures. Design/methodology/approach - In the proposed similarity measure, nodes on two hierarchical structures are projected onto a two-dimensional space, respectively, and both structural similarity and subject similarity of nodes are considered in the similarity between the two hierarchical structures. The extent to which the structural similarity impacts on the similarity can be controlled by adjusting a parameter. An experiment was conducted to evaluate soundness of the measure. Eight experts whose research interests were information retrieval and information organization participated in the study. Results from the new measure were compared with results from the experts. Findings - The evaluation shows strong correlations between the results from the new method and the results from the experts. It suggests that the similarity method achieved satisfactory results. Practical implications - Hierarchical structures that are found in subject directories, taxonomies, classification systems, and other classificatory structures play an extremely important role in information organization and information representation. Measuring the similarity between two subject hierarchical structures allows an accurate overarching understanding of the degree to which the two hierarchical structures are similar. Originality/value - Both structural similarity and subject similarity of nodes were considered in the proposed similarity method, and the extent to which the structural similarity impacts on the similarity can be adjusted. In addition, a new evaluation method for a hierarchical structure similarity was presented.
    Date
    8. 4.2015 16:22:13
  13. Gnoli, C.: Classifying phenomena : part 4: themes and rhemes (2018) 0.05 
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    Abstract
    This is the fourth in a series of papers on classification based on phenomena instead of disciplines. Together with types, levels and facets that have been discussed in the previous parts, themes and rhemes are further structural components of such a classification. In a statement or in a longer document, a base theme and several particular themes can be identified. Base theme should be cited first in a classmark, followed by particular themes, each with its own facets. In some cases, rhemes can also be expressed, that is new information provided about a theme, converting an abstract statement ("wolves, affected by cervids") into a claim that some thing actually occurs ("wolves are affected by cervids"). In the Integrative Levels Classification rhemes can be expressed by special deictic classes, including those for actual specimens, anaphoras, unknown values, conjunctions and spans, whole universe, anthropocentric favoured classes, and favoured host classes. These features, together with rules for pronounciation, make a classification of phenomena a true language, that may be suitable for many uses.
    Date
    17. 2.2018 18:22:25
    Source
    Knowledge organization. 45(2018) no.1, S.43-53
  14. Foskett, D.J.: Systems theory and its relevance to documentary classification (2017) 0.04 
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    Date
    6. 5.2017 18:46:22
    Footnote
    Wiederabdruck in: Knowledge organization. 44(2017) no.2, S.129-134.
  15. Adler, M.; Harper, L.M.: Race and ethnicity in classification systems : teaching knowledge organization from a social justice perspective (2018) 0.04 
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    Abstract
    Classification and the organization of information are directly connected to issues surrounding social justice, diversity, and inclusion. This paper is written from the standpoint that political and epistemological aspects of knowledge organization are fundamental to research and practice and suggests ways to integrate social justice and diversity issues into courses on the organization of information.
    Content
    Beitrag in einem Themenheft: 'Race and Ethnicity in Library and Information Science: An Update'.
  16. Thellefsen, M.; Thellefsen, T.: Pragmatic semiotics and knowledge organization (2004) 0.04 
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    Abstract
    The present paper presents a philosophical approach to knowledge organization, proposing the pragmatic doctrine of C.S. Peirce as basic analytical framework for knowledge domains. The theoretical framework discussed is related to the qualitative brauch of knowledge organization theory 1.e. within scope of Hjoerland's domain analytical view (Hjoerland and Albrechtsen 1995; Hjoerland 2002; Hjoerland 2004), and promote a general framework for analyzing domain knowledge and concepts. However, the concept of knowledge organization can be viewed in at least two perspectives, one that defines knowledge organization as an activity performed by a human actor e.g. an information specialist, and secondly a view that has the perspective of the inherent self-organizing structure of a knowledge domain the latter being investigated in the paper.
    Source
    Knowledge organization. 31(2004) no.3, S.177-187
  17. Bragato Barros, T.H.; Libonati Gomes, D.: Classification and knowledge organization systems : ontologies and archival classification (2018) 0.04 
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    Series
    Advances in knowledge organization; vol.16
    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  18. Zhonghong, W.; Chaudhry, A.S.; Khoo, C.: Potential and prospects of taxonomies for content organization (2006) 0.03 
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    Abstract
    While taxonomies are being increasingly discussed in published and grey literature, the term taxonomy still seems to be stated quite loosely and obscurely. This paper aims at explaining and clarifying the concept of taxonomy in the context of information organization. To this end, the salient features of taxonomies are identified and their scope, nature, and role are further elaborated based on an extensive literature review. In the meantime, the connection and distinctions between taxonomies and classification schemes and thesauri are also identified, and the rationale that taxonomies are chosen as a viable knowledge organization system used in organization-wide websites to support browsing and aid navigation is clarified.
    Source
    Knowledge organization. 33(2006) no.3, S.160-169
  19. Howarth, L.C.; Jansen, E.H.: Towards a typology of warrant for 21st century knowledge organization systems (2014) 0.03 
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    Abstract
    This paper returns to Beghtol's (1986) insightful typology of warrant to consider an empirical example of a traditional top-down hierarchical classification system as it continues to evolve in the early 21st century. Our examination considers there may be multiple warrants identified among the processes of design and the relationships to users of the National Occupational Classification (NOC), the standard occupational classification system published in Canada. We argue that this shift in semantic warrant signals a transition for traditional knowledge organization systems, and that warrant continues to be a relevant analytical concept and organizing principle, both within and beyond the domain of bibliographic control.
    Series
    Advances in knowledge organization; vol. 14
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  20. Vukadin, A.; Slavic, A.: Challenges of facet analysis and concept placement in Universal Classifications : the example of architecture in UDC (2014) 0.03 
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    Abstract
    The paper discusses the challenges of faceted vocabulary organization in universal classifications which treat the universe of knowledge as a coherent whole and in which the concepts and subjects in different disciplines are shared, related and combined. The authors illustrate the challenges of the facet analytical approach using, as an example, the revision of class 72 in UDC. The paper reports on the research undertaken in 2013 as preparation for the revision. This consisted of analysis of concept organization in the UDC schedules in comparison with the Art & Architecture Thesaurus and class W of the Bliss Bibliographic Classification. The paper illustrates how such research can contribute to a better understanding of the field and may lead to improvements in the facet structure of this segment of the UDC vocabulary.
    Series
    Advances in knowledge organization; vol. 14
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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