Search (135 results, page 1 of 7)

0.091359735 = product of:
  0.18271947 = sum of:
    0.13980682 = weight(_text_:objects in 5757) [ClassicSimilarity], result of:
      0.13980682 = score(doc=5757,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.41523993 = fieldWeight in 5757, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5757)
    0.042912643 = weight(_text_:22 in 5757) [ClassicSimilarity], result of:
      0.042912643 = score(doc=5757,freq=2.0), product of:
        0.22182742 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.06334615 = queryNorm
        0.19345059 = fieldWeight in 5757, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5757)
  0.5 = coord(2/4)

Abstract

Cultural heritage institutions are publishing their digital collections over the web as LOD. This is is a new step in the patrimonialization and curatorial processes developed by such institutions. Many of these collections are thematically superimposed and complementary. Frequently, objects in these collections present culturally relevant relationships, such as a book about a painting, or a draft or sketch of a famous painting, etc. LOD technology enables such heritage records to be interlinked, achieving interoperability and adding value to digital collections, thus empowering heritage institutions. An aim of this research is characterizing such culturally relevant relationships and organizing them in a vocabulary. Use cases or examples of relationships between objects suggested by curators or mentioned in literature and in the conceptual models as FRBR/LRM, CIDOC CRM and RiC-CM, were collected and used as examples or inspiration of cultural relevant relationships. Relationships identified are collated and compared for identifying those with the same or similar meaning, synthesized and normalized. A set of thirty-three culturally relevant relationships are identified and formalized as a LOD property vocabulary to be used by digital curators to interlink digital collections. The results presented are provisional and a starting point to be discussed, tested, and enhanced.

Date

4. 3.2020 14:22:41

0.075457856 = product of:
  0.30183142 = sum of:
    0.30183142 = weight(_text_:3a in 862) [ClassicSimilarity], result of:
      0.30183142 = score(doc=862,freq=2.0), product of:
        0.53704935 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.06334615 = queryNorm
        0.56201804 = fieldWeight in 862, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=862)
  0.25 = coord(1/4)

Source

https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

0.06288155 = product of:
  0.2515262 = sum of:
    0.2515262 = weight(_text_:3a in 5669) [ClassicSimilarity], result of:
      0.2515262 = score(doc=5669,freq=2.0), product of:
        0.53704935 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.06334615 = queryNorm
        0.46834838 = fieldWeight in 5669, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5669)
  0.25 = coord(1/4)

Content

"Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."

0.06288155 = product of:
  0.2515262 = sum of:
    0.2515262 = weight(_text_:3a in 1000) [ClassicSimilarity], result of:
      0.2515262 = score(doc=1000,freq=2.0), product of:
        0.53704935 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.06334615 = queryNorm
        0.46834838 = fieldWeight in 1000, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1000)
  0.25 = coord(1/4)

Content

Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.

0.04942918 = product of:
  0.19771671 = sum of:
    0.19771671 = weight(_text_:objects in 5718) [ClassicSimilarity], result of:
      0.19771671 = score(doc=5718,freq=8.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.58723795 = fieldWeight in 5718, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5718)
  0.25 = coord(1/4)

Abstract

Persistent identifiers (PID's) are essential for getting access and referring to library, archive and museum (LAM) collection objects in a sustainable and unambiguous way, both internally and externally. Heritage institutions need a universal policy for the use of PID's in order to have an efficient digital infrastructure at their disposal and to achieve optimal interoperability, leading to open data, open collections and efficient resource management. Here the discussion is limited to PID's that institutions can assign to objects they own or administer themselves. PID's for people, subjects etc. can be used by heritage institutions, but are generally managed by other parties. The first part of this article consists of a general theoretical description of persistent identifiers. First of all, I discuss the questions of what persistent identifiers are and what they are not, and what is needed to administer and use them. The most commonly used existing PID systems are briefly characterized. Then I discuss the types of objects PID's can be assigned to. This section concludes with an overview of the requirements that apply if PIDs should also be used for linked data. The second part examines current infrastructural practices, and existing PID systems and their advantages and shortcomings. Based on these practical issues and the pros and cons of existing PID systems a list of requirements for PID systems is presented which is used to address a number of practical considerations. This section concludes with a number of recommendations.

0.04942918 = product of:
  0.19771671 = sum of:
    0.19771671 = weight(_text_:objects in 5732) [ClassicSimilarity], result of:
      0.19771671 = score(doc=5732,freq=8.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.58723795 = fieldWeight in 5732, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5732)
  0.25 = coord(1/4)

Abstract

Recent technological developments have increased the use of machine learning to solve many problems, including many in information retrieval. Multimedia information retrieval as a problem represents a significant challenge to machine learning as a technological solution, but some problems can still be addressed by using appropriate AI techniques. We review the technological developments and provide a perspective on the use of machine learning in conjunction with knowledge organization to address multimedia IR needs. The semantic gap in multimedia IR remains a significant problem in the field, and solutions to them are many years off. However, new technological developments allow the use of knowledge organization and machine learning in multimedia search systems and services. Specifically, we argue that, the improvement of detection of some classes of lowlevel features in images music and video can be used in conjunction with knowledge organization to tag or label multimedia content for better retrieval performance. We provide an overview of the use of knowledge organization schemes in machine learning and make recommendations to information professionals on the use of this technology with knowledge organization techniques to solve multimedia IR problems. We introduce a five-step process model that extracts features from multimedia objects (Step 1) from both knowledge organization (Step 1a) and machine learning (Step 1b), merging them together (Step 2) to create an index of those multimedia objects (Step 3). We also overview further steps in creating an application to utilize the multimedia objects (Step 4) and maintaining and updating the database of features on those objects (Step 5).

0.042806923 = product of:
  0.1712277 = sum of:
    0.1712277 = weight(_text_:objects in 1136) [ClassicSimilarity], result of:
      0.1712277 = score(doc=1136,freq=6.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.508563 = fieldWeight in 1136, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1136)
  0.25 = coord(1/4)

Abstract

The paper examines the integration of born-digital and digitized content into an outdated classification system within the Museum of European Cultures in Berlin. It underscores the predicament encountered by smaller to medium-sized cultural institutions as they navigate between adhering to established knowl­edge management systems and preserving an expanding array of contemporary cultural artifacts. The perspective of infrastructure studies is employed to scrutinize the representation of diverse viewpoints and voices within the museum's collections. The study delves into museum personnel's challenges in cataloging and classifying ethnographic objects utilizing a numerical-alphabetical categorization scheme from the 1930s. It presents an analysis of the limitations inherent in this method, along with its implications for the assimilation of emerging forms of born-digital and digitized objects. Through an exploration of the case of category 74, as observed at the Museum of European Cultures, the study illustrates the complexities of replacing pre-existing systems due to their intricate integration into the socio-technical components of the museum's information infrastructure. The paper reflects on how resource-constrained cultural institutions can take a proactive and ethical approach to knowl­edge management, re-evaluating their knowl­edge infrastructure to promote inclusion and ensure adaptability.

0.04194205 = product of:
  0.1677682 = sum of:
    0.1677682 = weight(_text_:objects in 5483) [ClassicSimilarity], result of:
      0.1677682 = score(doc=5483,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.49828792 = fieldWeight in 5483, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.046875 = fieldNorm(doc=5483)
  0.25 = coord(1/4)

Abstract

We present an overview of Nomenclature's history, characteristics, structure, use, management, development process, limitations, and future. Nomenclature for Museum Cataloging is a bilingual (English/French) structured and controlled list of object terms organized in a classification system to provide a basis for indexing and cataloging collections of human-made objects. It includes illustrations and bibliographic references as well as a user guide. It is used in the creation and management of object records in human history collections within museums and other organizations, and it focuses on objects relevant to North American history and culture. First published in 1978, Nomenclature is the most extensively used museum classification and controlled vocabulary for historical and ethnological collections in North America and represents thereby a de facto standard in the field. An online reference version of Nomenclature was made available in 2018, and it will be available under open license in 2020.

0.04194205 = product of:
  0.1677682 = sum of:
    0.1677682 = weight(_text_:objects in 487) [ClassicSimilarity], result of:
      0.1677682 = score(doc=487,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.49828792 = fieldWeight in 487, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.046875 = fieldNorm(doc=487)
  0.25 = coord(1/4)

Abstract

In information science, writing, printing, telecommunication, and digital computing have been central concerns because of their ability to distribute information. Overlooked is the obvious fact that these technologies fashion copies, and the theorizing of copies has been neglected. We may think a copy is the same as what it copies, but no two objects can really be the same. "The same" means similar enough as an acceptable substitute for some purpose. The differences between usefully similar things are also often important, in forensic analysis, for example, or inferential processes. Status as a copy is only one form of relationship between objects, but copies are so integral to information science that they demand a theory. Indeed, theorizing copies provides a basis for a more complete and unified view of information science.

0.04194205 = product of:
  0.1677682 = sum of:
    0.1677682 = weight(_text_:objects in 981) [ClassicSimilarity], result of:
      0.1677682 = score(doc=981,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.49828792 = fieldWeight in 981, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.046875 = fieldNorm(doc=981)
  0.25 = coord(1/4)

Abstract

In the blooming area of Internet technology, the concept of Internet-of-Things (IoT) holds a distinct position that interconnects a large number of smart objects. In the context of social IoT (SIoT), the argument of trust and reliability is evaluated in the presented work. The proposed framework is divided into two blocks, namely Verification Block (VB) and Evaluation Block (EB). VB defines various ontology-based relationships computed for the objects that reflect the security and trustworthiness of an accessed service. While, EB is used for the feedback analysis and proves to be a valuable step that computes and governs the success rate of the service. Support vector machine (SVM) is applied to categorise the trust-based evaluation. The security aspect of the proposed approach is comparatively evaluated for DDoS and malware attacks in terms of success rate, trustworthiness and execution time. The proposed secure ontology-based framework provides better performance compared with existing architectures.

0.034951705 = product of:
  0.13980682 = sum of:
    0.13980682 = weight(_text_:objects in 5855) [ClassicSimilarity], result of:
      0.13980682 = score(doc=5855,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.41523993 = fieldWeight in 5855, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5855)
  0.25 = coord(1/4)

Abstract

The University of Toronto Libraries is currently reviewing technology to support its Collections U of T service. Collections U of T provides search and browse access to 375 digital collections (and over 203,000 digital objects) at the University of Toronto Libraries. Digital objects typically include special collections material from the university as well as faculty digital collections, all with unique metadata requirements. The service is currently supported by IIIF-enabled Islandora, with one Fedora back end and multiple Drupal sites per parent collection (see attached image). Like many institutions making use of Islandora, UTL is now confronted with Drupal 7 end of life and has begun to investigate a migration path forward. This article will summarise the Collections U of T functional requirements and lessons learned from our current technology stack. It will go on to outline our research to date for alternate solutions. The article will review both emerging micro-service solutions, as well as out-of-the-box platforms, to provide an overview of the digital collection technology landscape in 2019. Note that our research is focused on reviewing technology solutions for providing access to digital collections, as preservation services are offered through other services at the University of Toronto Libraries.

0.034951705 = product of:
  0.13980682 = sum of:
    0.13980682 = weight(_text_:objects in 5872) [ClassicSimilarity], result of:
      0.13980682 = score(doc=5872,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.41523993 = fieldWeight in 5872, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5872)
  0.25 = coord(1/4)

Abstract

Value perception increases when people engage in producing physical objects. However, information differs from physical objects by being intangible and easy-to-copy. Information as an experience good is inherently challenging to evaluate a priori; therefore, comparing value before and after different types of experience is likely to inform theory about users' preferences regarding information. Prior research mostly refers to consuming information and rarely considers the experience of producing information as a factor affecting information value. The current research compares the effect of experiencing online information through production and consumption processes on value perception. In a set of 6 experiments with 178 participants, willingness-to-pay by consumers and willingness-to-accept payment by producers are measured before and after consumption and production of information, independently and as repeated measures. In the experiments, we define and implement a framework for an information production process. The results show that the value of information is dynamic. Value perception increased after experiencing information, especially when people engaged in producing information compared to consuming it. This study offers a window toward the practical design of new digital information products.

0.03460042 = product of:
  0.13840169 = sum of:
    0.13840169 = weight(_text_:objects in 127) [ClassicSimilarity], result of:
      0.13840169 = score(doc=127,freq=2.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.41106653 = fieldWeight in 127, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.0546875 = fieldNorm(doc=127)
  0.25 = coord(1/4)

Abstract

This article discusses how libraries can include person identifiers in the MARC format. It suggests using URIs in fields and subfields to help transition the data to an RDF model, and to help prepare the catalog for a Linked Data. It analyzes the selection of URIs and Real-World Objects, and the use of tag 024 to describe person identifiers in authority records. When a creator or collaborator is identified in a work, the identifiers are transferred from authority to the bibliographic record. The article concludes that URI-based descriptions can provide a better experience for users, offering other methods of discovery.

0.03003885 = product of:
  0.1201554 = sum of:
    0.1201554 = weight(_text_:22 in 1079) [ClassicSimilarity], result of:
      0.1201554 = score(doc=1079,freq=2.0), product of:
        0.22182742 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.06334615 = queryNorm
        0.5416616 = fieldWeight in 1079, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.109375 = fieldNorm(doc=1079)
  0.25 = coord(1/4)

Date

27. 1.2023 16:22:55

0.029657505 = product of:
  0.11863002 = sum of:
    0.11863002 = weight(_text_:objects in 5730) [ClassicSimilarity], result of:
      0.11863002 = score(doc=5730,freq=2.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.35234275 = fieldWeight in 5730, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.046875 = fieldNorm(doc=5730)
  0.25 = coord(1/4)

0.029657505 = product of:
  0.11863002 = sum of:
    0.11863002 = weight(_text_:objects in 832) [ClassicSimilarity], result of:
      0.11863002 = score(doc=832,freq=2.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.35234275 = fieldWeight in 832, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.046875 = fieldNorm(doc=832)
  0.25 = coord(1/4)

Abstract

In the context of Knowledge Organization (KO) the ontological focus is sometimes overlooked in studies related to the nature of the concept. This study presents an analysis with this purpose, questioning possible modes of existence of concepts (such as mental representations, cognitive abilities or abstract objects), framed in four different readings: a linguistic one, the psychological one, the epistemological one, and the ontological one; and focuses on the two first ones. The suitability of using the concept as an elementary unit of Knowledge Organization Systems (KOS) is analyzed according to the different perspectives. From a mental entity, passing to another one that exists in a non-mental realm, although also non-physical, moving on to another one with an objective linguistic existence.

0.029657505 = product of:
  0.11863002 = sum of:
    0.11863002 = weight(_text_:objects in 1095) [ClassicSimilarity], result of:
      0.11863002 = score(doc=1095,freq=2.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.35234275 = fieldWeight in 1095, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.046875 = fieldNorm(doc=1095)
  0.25 = coord(1/4)

Abstract

This paper analyzes how two systems of classification - Library of Congress Classification and Dewey Decimal Classification - are applied to physical collections of films within libraries. It studies the history of the evolving approach to classification of film in these schemes, and identifies several ways that the underlying principles and philosophical assumptions of both are unconducive to arrangements of films. It also identifies several practical failings and contradictions within these systems, and confusions as to how their principles are to be mapped onto non-book objects of cultural production. The paper concludes that many of these failings are born of uncritical assumptions about film culture, whose differences from literary productions may not have been fully appreciated.

0.027961366 = product of:
  0.11184546 = sum of:
    0.11184546 = weight(_text_:objects in 5712) [ClassicSimilarity], result of:
      0.11184546 = score(doc=5712,freq=4.0), product of:
        0.33668926 = queryWeight, product of:
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.06334615 = queryNorm
        0.33219194 = fieldWeight in 5712, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.315071 = idf(docFreq=590, maxDocs=44218)
          0.03125 = fieldNorm(doc=5712)
  0.25 = coord(1/4)

Abstract

Purpose The purpose of this paper is to introduce a multi-level framework for semantic modeling (MFSM) based on four signification levels: objects, classes of entities, instances and domains. In addition, four fundamental propositions of the signification process underpin these levels, namely, classification, decomposition, instantiation and contextualization. Design/methodology/approach The deductive approach guided the design of this modeling framework. The authors empirically validated the MFSM in two ways. First, the authors identified the signification processes used in articles that deal with semantic modeling. The authors then applied the MFSM to model the semantic context of the literature about lean manufacturing, a field of management science. Findings The MFSM presents a highly consistent approach about the signification process, integrates the semantic modeling literature in a new and comprehensive view; and permits the modeling of any semantic context, thus facilitating the development of knowledge organization systems based on semantic search. Research limitations/implications The use of MFSM is manual and, thus, requires a considerable effort of the team that decides to model a semantic context. In this paper, the modeling was generated by specialists, and in the future should be applicated to lay users. Practical implications The MFSM opens up avenues to a new form of classification of documents, as well as for the development of tools based on the semantic search, and to investigate how users do their searches. Social implications The MFSM can be used to model archives semantically in public or private settings. In future, it can be incorporated to search engines for more efficient searches of users. Originality/value The MFSM provides a new and comprehensive approach about the elementary levels and activities in the process of signification. In addition, this new framework presents a new form to model semantically any context classifying its objects.

0.025747584 = product of:
  0.10299034 = sum of:
    0.10299034 = weight(_text_:22 in 4156) [ClassicSimilarity], result of:
      0.10299034 = score(doc=4156,freq=2.0), product of:
        0.22182742 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.06334615 = queryNorm
        0.46428138 = fieldWeight in 4156, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.09375 = fieldNorm(doc=4156)
  0.25 = coord(1/4)

Date

2. 3.2020 14:08:22

0.025747584 = product of:
  0.10299034 = sum of:
    0.10299034 = weight(_text_:22 in 1203) [ClassicSimilarity], result of:
      0.10299034 = score(doc=1203,freq=2.0), product of:
        0.22182742 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.06334615 = queryNorm
        0.46428138 = fieldWeight in 1203, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.09375 = fieldNorm(doc=1203)
  0.25 = coord(1/4)

Source

Spektrum der Wissenschaft. 2023, H.10, S.22-24