Search (3678 results, page 1 of 184)

  1. Definition of the CIDOC Conceptual Reference Model (2003) 0.31 
    0.30921268 = product of:
  0.61842537 = sum of:
    0.61842537 = sum of:
      0.578812 = weight(_text_:crm in 1652) [ClassicSimilarity], result of:
        0.578812 = score(doc=1652,freq=16.0), product of:
          0.38785186 = queryWeight, product of:
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0487299 = queryNorm
          1.4923533 = fieldWeight in 1652, product of:
            4.0 = tf(freq=16.0), with freq of:
              16.0 = termFreq=16.0
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.046875 = fieldNorm(doc=1652)
      0.03961337 = weight(_text_:22 in 1652) [ClassicSimilarity], result of:
        0.03961337 = score(doc=1652,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = queryNorm
          0.23214069 = fieldWeight in 1652, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=1652)
  0.5 = coord(1/2)
    Abstract
    This document is the formal definition of the CIDOC Conceptual Reference Model ("CRM"), a formal ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information. The CRM is the culmination of more than a decade of standards development work by the International Committee for Documentation (CIDOC) of the International Council of Museums (ICOM). Work on the CRM itself began in 1996 under the auspices of the ICOM-CIDOC Documentation Standards Working Group. Since 2000, development of the CRM has been officially delegated by ICOM-CIDOC to the CIDOC CRM Special Interest Group, which collaborates with the ISO working group ISO/TC46/SC4/WG9 to bring the CRM to the form and status of an International Standard.
    Date
    6. 8.2010 14:22:28
    Issue
    Version 3.4.9 - 30.11.2003. Produced by the ICOM/CIDOC Documentation Standards Group, continued by the CIDOC CRM Special Interest Group.
    Object
    CIDOC CRM
  2. Hohmann, G.: ¬Die Anwendung des CIDOC-CRM für die semantische Wissensrepräsentation in den Kulturwissenschaften (2010) 0.25 
    0.24860221 = product of:
  0.49720442 = sum of:
    0.49720442 = sum of:
      0.45759106 = weight(_text_:crm in 4011) [ClassicSimilarity], result of:
        0.45759106 = score(doc=4011,freq=10.0), product of:
          0.38785186 = queryWeight, product of:
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0487299 = queryNorm
          1.1798089 = fieldWeight in 4011, product of:
            3.1622777 = tf(freq=10.0), with freq of:
              10.0 = termFreq=10.0
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.046875 = fieldNorm(doc=4011)
      0.03961337 = weight(_text_:22 in 4011) [ClassicSimilarity], result of:
        0.03961337 = score(doc=4011,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = queryNorm
          0.23214069 = fieldWeight in 4011, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=4011)
  0.5 = coord(1/2)
    Abstract
    Das CIDOC Conceptual Reference Model (CRM) ist eine Ontologie für den Bereich des Kulturellen Erbes, die als ISO 21127 standardisiert ist. Inzwischen liegen auch OWL-DL-Implementationen des CRM vor, die ihren Einsatz auch im Semantic Web ermöglicht. OWL-DL ist eine entscheidbare Untermenge der Web Ontology Language, die vom W3C spezifiziert wurde. Lokale Anwendungsontologien, die ebenfalls in OWL-DL modelliert werden, können über Subklassenbeziehungen mit dem CRM als Referenzontologie verbunden werden. Dadurch wird es automatischen Prozessen ermöglicht, autonom heterogene Daten semantisch zu validieren, zueinander in Bezug zu setzen und Anfragen über verschiedene Datenbestände innerhalb der Wissensdomäne zu verarbeiten und zu beantworten.
    Object
    CIDOC CRM
    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  3. Boeuf, P. le; Doerr, M.: Harmonising CIDOC CRM and FRBR (2007) 0.14 
    0.144703 = product of:
  0.289406 = sum of:
    0.289406 = product of:
      0.578812 = sum of:
        0.578812 = weight(_text_:crm in 250) [ClassicSimilarity], result of:
          0.578812 = score(doc=250,freq=4.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.4923533 = fieldWeight in 250, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.09375 = fieldNorm(doc=250)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Object
    CIDOC CRM
  4. Marcondes, C.H.: Towards a vocabulary to implement culturally relevant relationships between digital collections in heritage institutions (2020) 0.14 
    0.13709141 = product of:
  0.27418283 = sum of:
    0.27418283 = sum of:
      0.24117167 = weight(_text_:crm in 5757) [ClassicSimilarity], result of:
        0.24117167 = score(doc=5757,freq=4.0), product of:
          0.38785186 = queryWeight, product of:
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0487299 = queryNorm
          0.6218139 = fieldWeight in 5757, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5757)
      0.033011146 = weight(_text_:22 in 5757) [ClassicSimilarity], result of:
        0.033011146 = score(doc=5757,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = 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(1/2)
    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
    Object
    CIDOC CRM
  5. Görz, G.: Semantische Modellierung (2006) 0.14 
    0.1364273 = product of:
  0.2728546 = sum of:
    0.2728546 = product of:
      0.5457092 = sum of:
        0.5457092 = weight(_text_:crm in 6319) [ClassicSimilarity], result of:
          0.5457092 = score(doc=6319,freq=2.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.4070041 = fieldWeight in 6319, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.125 = fieldNorm(doc=6319)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Object
    CIDOC CRM
  6. Alexiev, V.: Implementing CIDOC CRM search based on fundamental relations and OWLIM rules (2012) 0.13 
    0.13481906 = product of:
  0.26963812 = sum of:
    0.26963812 = product of:
      0.53927624 = sum of:
        0.53927624 = weight(_text_:crm in 467) [ClassicSimilarity], result of:
          0.53927624 = score(doc=467,freq=20.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.390418 = fieldWeight in 467, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0390625 = fieldNorm(doc=467)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    The CIDOC CRM provides an ontology for describing entities, properties and relationships appearing in cultural heritage (CH) documentation, history and archeology. CRM promotes shared understanding by providing an extensible semantic framework that any CH information can be mapped to. CRM data is usually represented in semantic web format (RDF) and comprises complex graphs of nodes and properties. An important question is how a user can search through such complex graphs, since the number of possible combinations is staggering. One approach "compresses" the semantic network by mapping many CRM entity classes to a few "Fundamental Concepts" (FC), and mapping whole networks of CRM properties to fewer "Fundamental Relations" (FR). These FC and FRs serve as a "search index" over the CRM semantic web and allow the user to use a simpler query vocabulary. We describe an implementation of CRM FR Search based on OWLIM Rules, done as part of the ResearchSpace (RS) project. We describe the technical details, problems and difficulties encountered, benefits and disadvantages of using OWLIM rules, and preliminary performance results. We provide implementation experience that can be valuable for further implementation, definition and maintenance of CRM FRs.
    Object
    CIDOC CRM
  7. Lischka, K.: Spurensuche im Datenwust : Data-Mining-Software fahndet nach kriminellen Mitarbeitern, guten Kunden - und bald vielleicht auch nach Terroristen (2002) 0.12 
    0.124301106 = product of:
  0.24860221 = sum of:
    0.24860221 = sum of:
      0.22879553 = weight(_text_:crm in 1178) [ClassicSimilarity], result of:
        0.22879553 = score(doc=1178,freq=10.0), product of:
          0.38785186 = queryWeight, product of:
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0487299 = queryNorm
          0.5899044 = fieldWeight in 1178, product of:
            3.1622777 = tf(freq=10.0), with freq of:
              10.0 = termFreq=10.0
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0234375 = fieldNorm(doc=1178)
      0.019806685 = weight(_text_:22 in 1178) [ClassicSimilarity], result of:
        0.019806685 = score(doc=1178,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = queryNorm
          0.116070345 = fieldWeight in 1178, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0234375 = fieldNorm(doc=1178)
  0.5 = coord(1/2)
    Content
    "Ob man als Terrorist einen Anschlag gegen die Vereinigten Staaten plant, als Kassierer Scheine aus der Kasse unterschlägt oder für bestimmte Produkte besonders gerne Geld ausgibt - einen Unterschied macht Data-Mining-Software da nicht. Solche Programme analysieren riesige Daten- mengen und fällen statistische Urteile. Mit diesen Methoden wollen nun die For- scher des "Information Awaren in den Vereinigten Staaten Spuren von Terroristen in den Datenbanken von Behörden und privaten Unternehmen wie Kreditkartenfirmen finden. 200 Millionen Dollar umfasst der Jahresetat für die verschiedenen Forschungsprojekte. Dass solche Software in der Praxis funktioniert, zeigen die steigenden Umsätze der Anbieter so genannter Customer-Relationship-Management-Software. Im vergangenen Jahr ist das Potenzial für analytische CRM-Anwendungen laut dem Marktforschungsinstitut IDC weltweit um 22 Prozent gewachsen, bis zum Jahr 2006 soll es in Deutschland mit einem jährlichen Plus von 14,1 Prozent so weitergehen. Und das trotz schwacher Konjunktur - oder gerade deswegen. Denn ähnlich wie Data-Mining der USRegierung helfen soll, Terroristen zu finden, entscheiden CRM-Programme heute, welche Kunden für eine Firma profitabel sind. Und welche es künftig sein werden, wie Manuela Schnaubelt, Sprecherin des CRM-Anbieters SAP, beschreibt: "Die Kundenbewertung ist ein zentraler Bestandteil des analytischen CRM. Sie ermöglicht es Unternehmen, sich auf die für sie wichtigen und richtigen Kunden zu fokussieren. Darüber hinaus können Firmen mit speziellen Scoring- Verfahren ermitteln, welche Kunden langfristig in welchem Maße zum Unternehmenserfolg beitragen." Die Folgen der Bewertungen sind für die Betroffenen nicht immer positiv: Attraktive Kunden profitieren von individuellen Sonderangeboten und besonderer Zuwendung. Andere hängen vielleicht so lauge in der Warteschleife des Telefonservice, bis die profitableren Kunden abgearbeitet sind. So könnte eine praktische Umsetzung dessen aussehen, was SAP-Spreche-rin Schnaubelt abstrakt beschreibt: "In vielen Unternehmen wird Kundenbewertung mit der klassischen ABC-Analyse durchgeführt, bei der Kunden anhand von Daten wie dem Umsatz kategorisiert werden. A-Kunden als besonders wichtige Kunden werden anders betreut als C-Kunden." Noch näher am geplanten Einsatz von Data-Mining zur Terroristenjagd ist eine Anwendung, die heute viele Firmen erfolgreich nutzen: Sie spüren betrügende Mitarbeiter auf. Werner Sülzer vom großen CRM-Anbieter NCR Teradata beschreibt die Möglichkeiten so: "Heute hinterlässt praktisch jeder Täter - ob Mitarbeiter, Kunde oder Lieferant - Datenspuren bei seinen wirtschaftskriminellen Handlungen. Es muss vorrangig darum gehen, einzelne Spuren zu Handlungsmustern und Täterprofilen zu verdichten. Das gelingt mittels zentraler Datenlager und hoch entwickelter Such- und Analyseinstrumente." Von konkreten Erfolgen sprich: Entlas-sungen krimineller Mitarbeiter-nach Einsatz solcher Programme erzählen Unternehmen nicht gerne. Matthias Wilke von der "Beratungsstelle für Technologiefolgen und Qualifizierung" (BTQ) der Gewerkschaft Verdi weiß von einem Fall 'aus der Schweiz. Dort setzt die Handelskette "Pick Pay" das Programm "Lord Lose Prevention" ein. Zwei Monate nach Einfüh-rung seien Unterschlagungen im Wert von etwa 200 000 Franken ermittelt worden. Das kostete mehr als 50 verdächtige Kassiererinnen und Kassierer den Job.
  8. Krause, S.: CIDOC - Conceptual Reference Model : oder: das Schweizer Taschenmesser für die Museums- und Kulturinformatik (2002) 0.12 
    0.11814951 = product of:
  0.23629902 = sum of:
    0.23629902 = product of:
      0.47259805 = sum of:
        0.47259805 = weight(_text_:crm in 1020) [ClassicSimilarity], result of:
          0.47259805 = score(doc=1020,freq=6.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.2185014 = fieldWeight in 1020, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0625 = fieldNorm(doc=1020)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Dokumentationsaktivitäten waren im Museum lange auf Bestandsverwaltung beschränkt, wobei die Informationen ähnlich behandelt wurden wie bibliographische Informationen. Doch die systematische Sammlung wissenschaftlicher Informationen zu Museumsobjekten unterscheidet sich davon stark. Das CIDOC Conceptual Reference Model (CRM) unterstützt diese erweiterten Anforderungen, weil mit ihm komplexe Datenstrukturen in kontrollierter, aber flexibler Weise behandelt werden können. Technisch ist das CIDOC CRM eine Ontologie, die unter dem Paradigma der Objektorientierung speziell für den Museumsbereich erarbeit etwurde. Das CHIOS Projekt versucht derzeit, CIDOC-CRM als ISO-Standard zu etablieren.
  9. LeBoeuf, P.: ¬A strange model named FRBRoo (2012) 0.11 
    0.114397764 = product of:
  0.22879553 = sum of:
    0.22879553 = product of:
      0.45759106 = sum of:
        0.45759106 = weight(_text_:crm in 1904) [ClassicSimilarity], result of:
          0.45759106 = score(doc=1904,freq=10.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.1798089 = fieldWeight in 1904, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.046875 = fieldNorm(doc=1904)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Libraries and museums developed rules for the description of their collections prior to formalizing the underlying conceptualization reflected in such rules. That formalizing process took place in the 1990s and resulted in two independent conceptual models: FRBR for bibliographic information (published in 1998), and CIDOC CRM for museum information (developed from 1996 on, and issued as ISO standard 21127 in 2006). An international working group was formed in 2003 with the purpose of harmonizing these two models. The resulting model, FRBROO, was published in 2009. It is an extension to CIDOC CRM, using the formalism in which the former is written. It adds to FRBR the dynamic aspects of CIDOC CRM, and a number of refinements (e.g. in the definitions of Work and Manifestation). Some modifications were made in CIDOC CRM as well. FRBROO was developed with Semantic Web technologies in mind, and lends itself well to the Linked Data environment; but will it be used in that context?
    Object
    CIDOC CRM
  10. Riva, P.; Doerr, M.; Zumer, M.: FRBRoo: enabling a common view of information from memory institutions (2008) 0.11 
    0.11279773 = product of:
  0.22559546 = sum of:
    0.22559546 = product of:
      0.45119092 = sum of:
        0.45119092 = weight(_text_:crm in 3743) [ClassicSimilarity], result of:
          0.45119092 = score(doc=3743,freq=14.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.1633073 = fieldWeight in 3743, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3743)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    In 2008 the FRBR/CRM Harmonisation Working Group has achieved a major milestone: a complete version of the object-oriented definition of FRBR (FRBRoo) was released for comment. After a brief overview of the history and context of the Working Group, this paper focuses on the primary contributions resulting from this work. - FRBRoo is a self-contained document which expresses the concepts of FRBR using the objectoriented methodology and framework of CIDOC CRM. It is an alternative view on library conceptualisation for a different purpose, not a replacement for FRBR. - This 'translation' process presented an opportunity to verify and confirm FRBR's internal consistency. - FRBRoo offers a common view of library and museum documentation as two kinds of information from memory institutions. Such a common view is necessary to provide interoperable information systems for all users interested in accessing common or related content. - The analysis provided an opportunity for mutual enrichment of FRBR and CIDOC CRM. Examples include: - - Addition of the modelling of time and events to FRBR, which can be seen in its application to the publishing process - - Clarification of the manifestation entity - - Explicit modelling of performances and recordings in FRBR - - Adding the work entity to CRM - - Adding the identifier assignment process to CRM. - Producing a formalisation which is more suited for implementation with object-oriented tools, and which facilitates the testing and adoption of FRBR concepts in implementations with different functional specifications and in different environments.
    Object
    FRBR/CRM
    Cidoc CRM
  11. Becker, H.-G.; Förster, F.: Vernetztes Wissen : Ereignisse in der bibliografischen Dokumentation (2010) 0.10 
    0.10232046 = product of:
  0.20464092 = sum of:
    0.20464092 = product of:
      0.40928185 = sum of:
        0.40928185 = weight(_text_:crm in 3494) [ClassicSimilarity], result of:
          0.40928185 = score(doc=3494,freq=8.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            1.055253 = fieldWeight in 3494, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.046875 = fieldNorm(doc=3494)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Innerhalb der Gedächtnisinstitutionen Bibliothek, Museum und Archiv gibt es je eigene Beschreibungsmodelle der beherbergten Objekte und Materialien. Für eine genauere bibliografische Erschließung wurde im Bibliotheksbereich das von Benutzerbedürfnissen ausgehende, statische Modell "Functional Requirements for Bibliographic Records" (FRBR) geschaffen, dessen ungenauer »Werk«-Begriff ebenso thematisiert wird wie die schwer zu realisierende Übertragbarkeit des Modells auf Nicht-Buchmaterialien. Die Museumswelt orientiert die Darstellung ihrer Bestände am CIDOC Conceptual Reference Model (CRM), das sich hinsichtlich der Beschreibung heterogener Museumsobjekte, also Artefakten künstlerischer und intellektueller Gestaltung, als hilfreich erwiesen hat. In gegenseitigem Austausch zwischen IFLA und ICOM wurde FRBR mit CRM harmonisiert. Das Ergebnis, FRBRoo (objektorientiertes FRBR), zeigt seine Vorzüge zum einen in einer strengeren Interpretation der Entitäten der Gruppe 1 des FRBR-Modells und zum anderen in einer genaueren Abbildung von Prozessen bzw. Ereignissen. Beispiele zum Anwendungsbezug von FRBRoo zeigen dessen Zugewinn für die wissenschaftliche Erschließung hand-, druck- und online-schriftlicher Quellen, Werken der Darstellenden Kunst, Landkarten und Musikalien innerhalb einer CRM-basierten Datenbank.
    Object
    CIDOC CRM
  12. Garcés, P.J.; Olivas, J.A.; Romero, F.P.: Concept-matching IR systems versus word-matching information retrieval systems : considering fuzzy interrelations for indexing Web pages (2006) 0.10 
    0.101772636 = product of:
  0.20354527 = sum of:
    0.20354527 = sum of:
      0.17053412 = weight(_text_:crm in 5288) [ClassicSimilarity], result of:
        0.17053412 = score(doc=5288,freq=2.0), product of:
          0.38785186 = queryWeight, product of:
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0487299 = queryNorm
          0.4396888 = fieldWeight in 5288, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5288)
      0.033011146 = weight(_text_:22 in 5288) [ClassicSimilarity], result of:
        0.033011146 = score(doc=5288,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = queryNorm
          0.19345059 = fieldWeight in 5288, 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=5288)
  0.5 = coord(1/2)
    Abstract
    This article presents a semantic-based Web retrieval system that is capable of retrieving the Web pages that are conceptually related to the implicit concepts of the query. The concept of concept is managed from a fuzzy point of view by means of semantic areas. In this context, the proposed system improves most search engines that are based on matching words. The key of the system is to use a new version of the Fuzzy Interrelations and Synonymy-Based Concept Representation Model (FIS-CRM) to extract and represent the concepts contained in both the Web pages and the user query. This model, which was integrated into other tools such as the Fuzzy Interrelations and Synonymy based Searcher (FISS) metasearcher and the fz-mail system, considers the fuzzy synonymy and the fuzzy generality interrelations as a means of representing word interrelations (stored in a fuzzy synonymy dictionary and ontologies). The new version of the model, which is based on the study of the cooccurrences of synonyms, integrates a soft method for disambiguating word senses. This method also considers the context of the word to be disambiguated and the thematic ontologies and sets of synonyms stored in the dictionary.
    Date
    22. 7.2006 17:14:12
  13. Li, Z.; He, L.; Gao, D.: Ontology construction and evaluation for Chinese traditional culture : towards digital humanity (2022) 0.10 
    0.101772636 = product of:
  0.20354527 = sum of:
    0.20354527 = sum of:
      0.17053412 = weight(_text_:crm in 1097) [ClassicSimilarity], result of:
        0.17053412 = score(doc=1097,freq=2.0), product of:
          0.38785186 = queryWeight, product of:
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0487299 = queryNorm
          0.4396888 = fieldWeight in 1097, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            7.9592175 = idf(docFreq=41, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1097)
      0.033011146 = weight(_text_:22 in 1097) [ClassicSimilarity], result of:
        0.033011146 = score(doc=1097,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = queryNorm
          0.19345059 = fieldWeight in 1097, 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=1097)
  0.5 = coord(1/2)
    Abstract
    Against the background that the top-level semantic framework of Chinese traditional culture is not comprehensive and unified, this study aims to preserve and disseminate cultural heritage information about Chinese traditional culture through the development of a domain ontology which is constructed from ancient books. A combination of top-down and bottom-up approaches was used to construct the ontology for Chinese traditional culture (CTCO). An investigation of historians' needs, and LDA topic clustering model were conducted, understanding the specific needs of historians, collecting the topic, concepts and relationships. CIDOC CRM was reused to construct the basic framework of CTCO. Ontology structure and function were adopted to evaluate the effectiveness of CTCO. Evaluation results show that the ontology meets all the quality criteria of OntoMetrics, and the experts agreed on content representation (average score = 4.30). CTCO contributes to the organization of traditional Chinese culture and the construction of related databases. The study also forms a common path and puts forward proposals for the construction of domain ontology, which has great social relevance.
    Source
    Knowledge organization. 49(2022) no.1, S.22 - 39
  14. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10 
    0.09720269 = sum of:
  0.077396005 = product of:
    0.232188 = sum of:
      0.232188 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
        0.232188 = score(doc=562,freq=2.0), product of:
          0.41313264 = queryWeight, product of:
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.0487299 = queryNorm
          0.56201804 = fieldWeight in 562, 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=562)
    0.33333334 = coord(1/3)
  0.019806685 = product of:
    0.03961337 = sum of:
      0.03961337 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
        0.03961337 = score(doc=562,freq=2.0), product of:
          0.1706438 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0487299 = queryNorm
          0.23214069 = fieldWeight in 562, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=562)
    0.5 = coord(1/2)
    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  15. Kergosien, E.; Smida, K.B.; Cardon, R.; Grabar, N.; Wybo, M.: Creation of a domain ontology in CIDOC CRM OWL format using heterogeneous textual data related to industrial heritage (2018) 0.10 
    0.096468665 = product of:
  0.19293733 = sum of:
    0.19293733 = product of:
      0.38587466 = sum of:
        0.38587466 = weight(_text_:crm in 4865) [ClassicSimilarity], result of:
          0.38587466 = score(doc=4865,freq=4.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            0.9949022 = fieldWeight in 4865, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0625 = fieldNorm(doc=4865)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Object
    CIDOC CRM
  16. Carrasco, L.; Vidotti, S.: Handling multilinguality in heterogeneous digital cultural heritage systems trough CIDOC CRM ontology (2016) 0.10 
    0.096468665 = product of:
  0.19293733 = sum of:
    0.19293733 = product of:
      0.38587466 = sum of:
        0.38587466 = weight(_text_:crm in 4925) [ClassicSimilarity], result of:
          0.38587466 = score(doc=4925,freq=4.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            0.9949022 = fieldWeight in 4925, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0625 = fieldNorm(doc=4925)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Object
    CIDOC CRM
  17. Stein, R.; Gottschewski, J.; Heuchert, R.; Ermert, A.; Hagedorn-Saupe, M.; Hansen, H.-J.; Saro, C.; Scheffel, R.; Schulte-Dornberg, G.: ¬Das CIDOC Conceptual Reference Model : Eine Hilfe für den Datenaustausch? (2005) 0.09 
    0.08861213 = product of:
  0.17722426 = sum of:
    0.17722426 = product of:
      0.35444853 = sum of:
        0.35444853 = weight(_text_:crm in 3741) [ClassicSimilarity], result of:
          0.35444853 = score(doc=3741,freq=6.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            0.91387606 = fieldWeight in 3741, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.046875 = fieldNorm(doc=3741)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Mit dieser Publikation veröffentlicht das Institut für Museumskunde die bisherigen Arbeitsergebnisse der Arbeitsgruppe "Datenaustausch" in der Fachgruppe Dokumentation des Deutschen Museumsbunds (DMB). Kolleginnen und Kollegen verschiedener Interessenschwerpunkte aus Museen und Informatik-Einrichtungen haben seit dem Jahre 2000 die Entwicklung des CIDOC-CRM (das "Conceptual Reference Model" des Dokumentationskomitees von ICOM, dem Internationalen Museumsrat) zu einem Arbeitsinstrument begleitet, das derzeit auf dem Wege ist, als Norm ISO 21 127 Anerkennung zu finden. Die Arbeitsgruppe hat sich intensiv damit beschäftigt, zunächst das komplexe Modell zu verstehen, und sie hat diskutiert, inwieweit es eine Hilfestellung für die Arbeit von Museen miteinander und für einen Datenaustausch zwischen ihnen bietet. Die Ergebnisse der Überlegungen werden hier vorgestellt in der Hoffnung, dass dadurch viele Kolleginnen und Kollegen mit dem Modell bekannt werden, ihnen das Verständnis des CRM erleichtert wird und das Modell auch in Deutschland für die Konzeption von Informationssystemen und die Vermittlung zwischen unterschiedlichen Dokumentationen genutzt werden kann.
    Object
    CIDOC CRM
  18. Park, H.; Smiraglia, R.P.: Enhancing data curation of cultural heritage for information sharing : a case study using open Government data (2014) 0.09 
    0.08861213 = product of:
  0.17722426 = sum of:
    0.17722426 = product of:
      0.35444853 = sum of:
        0.35444853 = weight(_text_:crm in 1575) [ClassicSimilarity], result of:
          0.35444853 = score(doc=1575,freq=6.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            0.91387606 = fieldWeight in 1575, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.046875 = fieldNorm(doc=1575)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    The purpose of this paper is to enhance cultural heritage data curation. A core research question of this study is how to share cultural heritage data by using ontologies. A case study was conducted using open government data mapped with the CIDOC-CRM (Conceptual Reference Model). Twelve library-related files in unstructured data format were collected from an open government website, Seoul Metropolitan Government of Korea (http://data.seoul.go.kr). By using the ontologies of the CIDOC CRM 5.1.2, we conducted a mapping process as a way of enhancing cultural heritage information to share information as a data component. We graphed each file then mapped each file in tables. Implications of this study are both the enhanced discoverability of unstructured data and the reusability of mapped information. Issues emerging from this study involve verification of detail for complete compatibility without further input from domain experts.
    Object
    CIDOC-CRM
  19. Niccolucci, F.: Linking theory with practice : CIDOC CRM-based gazetteers and time-period thesauri (2015) 0.09 
    0.08861213 = product of:
  0.17722426 = sum of:
    0.17722426 = product of:
      0.35444853 = sum of:
        0.35444853 = weight(_text_:crm in 2247) [ClassicSimilarity], result of:
          0.35444853 = score(doc=2247,freq=6.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            0.91387606 = fieldWeight in 2247, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.046875 = fieldNorm(doc=2247)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    The theoretical difficulty underlying gazetteers and time - period thesauri is generally overlooked. Practice demands that they are detailed, exhaustive and universal, but a dumb use may lead to paradoxes of traveling backwards in time, and shamanic - style bi-location. As Zeno's paradox of Achilles and the tortoise, these however suggest a solution that resolves the issues by addressing them from a different perspective. After surveying the most popular among such lists, this presentation will try to provide a theoretical basis by embedding them in 4-dimensional space - time and discretizing their granularity. This will allow relating them to CIDOC CRM, and some examples of mapping will be discussed.
    Object
    CIDOC CRM
  20. Nix, M.: ¬Die praktische Einsetzbarkeit des CIDOC CRM in Informationssystemen im Bereich des Kulturerbes (2004) 0.09 
    0.08526706 = product of:
  0.17053412 = sum of:
    0.17053412 = product of:
      0.34106824 = sum of:
        0.34106824 = weight(_text_:crm in 3742) [ClassicSimilarity], result of:
          0.34106824 = score(doc=3742,freq=8.0), product of:
            0.38785186 = queryWeight, product of:
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0487299 = queryNorm
            0.8793776 = fieldWeight in 3742, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              7.9592175 = idf(docFreq=41, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3742)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Es steht uns eine praktisch unbegrenzte Menge an Informationen über das World Wide Web zur Verfügung. Das Problem, das daraus erwächst, ist, diese Menge zu bewältigen und an die Information zu gelangen, die im Augenblick benötigt wird. Das überwältigende Angebot zwingt sowohl professionelle Anwender als auch Laien zu suchen, ungeachtet ihrer Ansprüche an die gewünschten Informationen. Um dieses Suchen effizienter zu gestalten, gibt es einerseits die Möglichkeit, leistungsstärkere Suchmaschinen zu entwickeln. Eine andere Möglichkeit ist, Daten besser zu strukturieren, um an die darin enthaltenen Informationen zu gelangen. Hoch strukturierte Daten sind maschinell verarbeitbar, sodass ein Teil der Sucharbeit automatisiert werden kann. Das Semantic Web ist die Vision eines weiterentwickelten World Wide Web, in dem derart strukturierten Daten von so genannten Softwareagenten verarbeitet werden. Die fortschreitende inhaltliche Strukturierung von Daten wird Semantisierung genannt. Im ersten Teil der Arbeit sollen einige wichtige Methoden der inhaltlichen Strukturierung von Daten skizziert werden, um die Stellung von Ontologien innerhalb der Semantisierung zu klären. Im dritten Kapitel wird der Aufbau und die Aufgabe des CIDOC Conceptual Reference Model (CRM), einer Domain Ontologie im Bereich des Kulturerbes dargestellt. Im darauf folgenden praktischen Teil werden verschiedene Ansätze zur Verwendung des CRM diskutiert und umgesetzt. Es wird ein Vorschlag zur Implementierung des Modells in XML erarbeitet. Das ist eine Möglichkeit, die dem Datentransport dient. Außerdem wird der Entwurf einer Klassenbibliothek in Java dargelegt, auf die die Verarbeitung und Nutzung des Modells innerhalb eines Informationssystems aufbauen kann.
    Object
    CIDOC CRM

Authors

Years

Languages

Types

  • a 3065
  • m 346
  • el 171
  • s 141
  • b 39
  • x 36
  • i 23
  • r 19
  • ? 8
  • p 5
  • d 3
  • n 3
  • u 2
  • z 2
  • au 1
  • h 1
  • More… Less…

Themes

Subjects

Classifications