Search (79 results, page 1 of 4)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Boteram, F.: Typisierung semantischer Relationen in integrierten Systemen der Wissensorganisation (2013) 0.02 
    0.017558727 = product of:
  0.05267618 = sum of:
    0.0133863455 = weight(_text_:in in 919) [ClassicSimilarity], result of:
      0.0133863455 = score(doc=919,freq=18.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.22543246 = fieldWeight in 919, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=919)
    0.039289832 = weight(_text_:und in 919) [ClassicSimilarity], result of:
      0.039289832 = score(doc=919,freq=22.0), product of:
        0.09675359 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.043654136 = queryNorm
        0.40608138 = fieldWeight in 919, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.0390625 = fieldNorm(doc=919)
  0.33333334 = coord(2/6)
    Abstract
    Die, differenzierte Typisierung semantischer Relationen hinsichtlich ihrer bedeutungstragenden inhaltlichen und formallogischen Eigenschaften in Systemen der Wissensorganisation ist eine Voraussetzung für leistungsstarke und benutzerfreundliche Modelle des information Retrieval und der Wissensexploration. Systeme, die mehrere Dokumentationssprachen miteinander verknüpfen und funktional integrieren, erfordern besondere Ansätze für die Typisierung der verwendeten oder benötigten Relationen. Aufbauend auf vorangegangenen Überlegungen zu Modellen der semantischen Interoperabilität in verteilten Systemen, welche durch ein zentrales Kernsystem miteinander verbunden und so in den übergeordneten Funktionszusammenhang der Wissensorganisation gestellt werden, werden differenzierte und funktionale Strategien zur Typisierung und stratifizierten Definition der unterschiedlichen Relationen in diesem System entwickelt. Um die von fortschrittlichen Retrievalparadigmen erforderten Funktionalitäten im Kontext vernetzter Systeme zur Wissensorganisation unterstützen zu können, werden die formallogischen, typologischen und strukturellen Eigenschaften sowie der eigentliche semantische Gehalt aller Relationstypen definiert, die zur Darstellung von Begriffsbeziehungen verwendet werden. Um die Vielzahl unterschiedlicher aber im Funktionszusammenhang des Gesamtsystems auf einander bezogenen Relationstypen präzise und effizient ordnen zu können, wird eine mehrfach gegliederte Struktur benötigt, welche die angestrebten Inventare in einer Ear den Nutzer übersichtlichen und intuitiv handhabbaren Form präsentieren und somit für eine Verwendung in explorativen Systemen vorhalten kann.
    Series
    Fortschritte in der Wissensorganisation; Bd.12
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Kasprzik, A.; Kett, J.: Vorschläge für eine Weiterentwicklung der Sacherschließung und Schritte zur fortgesetzten strukturellen Aufwertung der GND (2018) 0.02 
    0.016422477 = product of:
  0.049267426 = sum of:
    0.009977593 = weight(_text_:in in 4599) [ClassicSimilarity], result of:
      0.009977593 = score(doc=4599,freq=10.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.16802745 = fieldWeight in 4599, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4599)
    0.039289832 = weight(_text_:und in 4599) [ClassicSimilarity], result of:
      0.039289832 = score(doc=4599,freq=22.0), product of:
        0.09675359 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.043654136 = queryNorm
        0.40608138 = fieldWeight in 4599, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4599)
  0.33333334 = coord(2/6)
    Abstract
    Aufgrund der fortgesetzten Publikationsflut stellt sich immer dringender die Frage, wie die Schwellen für die Titel- und Normdatenpflege gesenkt werden können - sowohl für die intellektuelle als auch die automatisierte Sacherschließung. Zu einer Verbesserung der Daten- und Arbeitsqualität in der Sacherschließung kann beigetragen werden a) durch eine flexible Visualisierung der Gemeinsamen Normdatei (GND) und anderer Wissensorganisationssysteme, so dass deren Graphstruktur intuitiv erfassbar wird, und b) durch eine investigative Analyse ihrer aktuellen Struktur und die Entwicklung angepasster automatisierter Methoden zur Ermittlung und Korrektur fehlerhafter Muster. Die Deutsche Nationalbibliothek (DNB) prüft im Rahmen des GND-Entwicklungsprogramms 2017-2021, welche Bedingungen für eine fruchtbare community-getriebene Open-Source-Entwicklung entsprechender Werkzeuge gegeben sein müssen. Weiteres Potential steckt in einem langfristigen Übergang zu einer Darstellung von Titel- und Normdaten in Beschreibungssprachen im Sinne des Semantic Web (RDF; OWL, SKOS). So profitiert die GND von der Interoperabilität mit anderen kontrollierten Vokabularen und von einer erleichterten Interaktion mit anderen Fach-Communities und kann umgekehrt auch außerhalb des Bibliothekswesens zu einem noch attraktiveren Wissensorganisationssystem werden. Darüber hinaus bieten die Ansätze aus dem Semantic Web die Möglichkeit, stärker formalisierte, strukturierende Satellitenvokabulare rund um die GND zu entwickeln. Daraus ergeben sich nicht zuletzt auch neue Perspektiven für die automatisierte Sacherschließung. Es wäre lohnend, näher auszuloten, wie und inwieweit semantisch-logische Verfahren den bestehenden Methodenmix bereichern können.
    Content
    Vortrag anlässlich des 107. Deutschen Bibliothekartages 2018 in Berlin, Themenkreis "Fokus Erschließen & Bewahren". https://www.o-bib.de/article/view/5390/7450. https://doi.org/10.5282/o-bib/2018H4S127-140.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Kozikowski, P. et al.: Support of part-whole relations in query answering (2016) 0.02 
    0.015009962 = product of:
  0.045029886 = sum of:
    0.015457222 = weight(_text_:in in 2754) [ClassicSimilarity], result of:
      0.015457222 = score(doc=2754,freq=6.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.260307 = fieldWeight in 2754, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.078125 = fieldNorm(doc=2754)
    0.029572664 = product of:
      0.059145328 = sum of:
        0.059145328 = weight(_text_:22 in 2754) [ClassicSimilarity], result of:
          0.059145328 = score(doc=2754,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.38690117 = fieldWeight in 2754, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=2754)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Date
    1. 2.2016 18:25:22
    Series
    Lecture notes in computer science ; 9398
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.02 
    0.015009962 = product of:
  0.045029886 = sum of:
    0.015457222 = weight(_text_:in in 3280) [ClassicSimilarity], result of:
      0.015457222 = score(doc=3280,freq=6.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.260307 = fieldWeight in 3280, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.078125 = fieldNorm(doc=3280)
    0.029572664 = product of:
      0.059145328 = sum of:
        0.059145328 = weight(_text_:22 in 3280) [ClassicSimilarity], result of:
          0.059145328 = score(doc=3280,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.38690117 = fieldWeight in 3280, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3280)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Series
    Communications in computer and information science; 672
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  5. Gradmann, S.; Olensky, M.: Semantische Kontextualisierung von Museumsbeständen in Europeana (2013) 0.01 
    0.01469843 = product of:
  0.04409529 = sum of:
    0.009274333 = weight(_text_:in in 939) [ClassicSimilarity], result of:
      0.009274333 = score(doc=939,freq=6.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.1561842 = fieldWeight in 939, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=939)
    0.034820955 = weight(_text_:und in 939) [ClassicSimilarity], result of:
      0.034820955 = score(doc=939,freq=12.0), product of:
        0.09675359 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.043654136 = queryNorm
        0.35989314 = fieldWeight in 939, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.046875 = fieldNorm(doc=939)
  0.33333334 = coord(2/6)
    Abstract
    Europeana ist eine Initiative der Europäischen Kommission, die 2005 den Aufbau einer "Europäischen digitalen Bibliothek" als Teil ihrer i2010 Agenda ankündigte. Europeana soll ein gemeinsamer multilingualer Zugangspunkt zu Europas digitalem Kulturerbe und gleichzeitig mehr als "nur" eine digitale Bibliothek werden: eine offene Schnittstelle (API) für Wissenschaftsanwendungen, die ein Netzwerk von Objektsurrogaren darstellt, die semantikbasiertes Objektretrieval und - verwendung ermöglichen. Einerseits ist die semantische Kontextualisierung der digitalen Objekte eine unabdingbare Voraussetzung für effektives Information Retrieval, da aufgrund der Beschaffenheit der Öbjekte (bildlich, multimedial) deskriptive Metadaten meist nicht ausreichen, auf der anderen Seite bildet sie die Grundlage für neues Wissen. Kern geisteswissenschaftlicher Arbeit ist immer schon die Reaggregation und Interpretation kultureller Artefakte gewesen und Europeana ermöglicht nun mit (teil-)automatisierbaren, semantikbasierten Öperationen über große kulturelle Quellcorpora völlig neue Perspektiven für die digital humanities. Folglich hat Europeans das Potenzial eine Schlüsselressource der Geistes- und Kulturwissenschaften und damit Teil deren zukünftiger digitaler Arbeitsumgebungen zu werden.
    Series
    Fortschritte in der Wissensorganisation; Bd.12
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Rekabsaz, N. et al.: Toward optimized multimodal concept indexing (2016) 0.01 
    0.014064478 = product of:
  0.04219343 = sum of:
    0.012620768 = weight(_text_:in in 2751) [ClassicSimilarity], result of:
      0.012620768 = score(doc=2751,freq=4.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.21253976 = fieldWeight in 2751, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.078125 = fieldNorm(doc=2751)
    0.029572664 = product of:
      0.059145328 = sum of:
        0.059145328 = weight(_text_:22 in 2751) [ClassicSimilarity], result of:
          0.059145328 = score(doc=2751,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.38690117 = fieldWeight in 2751, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=2751)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Date
    1. 2.2016 18:25:22
    Series
    Lecture notes in computer science ; 9398
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  7. Marx, E. et al.: Exploring term networks for semantic search over RDF knowledge graphs (2016) 0.01 
    0.014064478 = product of:
  0.04219343 = sum of:
    0.012620768 = weight(_text_:in in 3279) [ClassicSimilarity], result of:
      0.012620768 = score(doc=3279,freq=4.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.21253976 = fieldWeight in 3279, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.078125 = fieldNorm(doc=3279)
    0.029572664 = product of:
      0.059145328 = sum of:
        0.059145328 = weight(_text_:22 in 3279) [ClassicSimilarity], result of:
          0.059145328 = score(doc=3279,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.38690117 = fieldWeight in 3279, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3279)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Series
    Communications in computer and information science; 672
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  8. Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013) 0.01 
    0.013322966 = product of:
  0.039968897 = sum of:
    0.0071393843 = weight(_text_:in in 2245) [ClassicSimilarity], result of:
      0.0071393843 = score(doc=2245,freq=2.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.120230645 = fieldWeight in 2245, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0625 = fieldNorm(doc=2245)
    0.032829512 = weight(_text_:und in 2245) [ClassicSimilarity], result of:
      0.032829512 = score(doc=2245,freq=6.0), product of:
        0.09675359 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.043654136 = queryNorm
        0.33931053 = fieldWeight in 2245, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.0625 = fieldNorm(doc=2245)
  0.33333334 = coord(2/6)
    Abstract
    Dieser Artikel adressiert einen Randbereich des Wissensmanagements: die Schnittstelle zwischen Unternehmens-externen Informationen im Internet und den Leistungsprozessen eines Unternehmens. Diese Schnittstelle ist besonders für Unternehmen von Interesse, deren Leistungsprozesse von externen Informationen abhängen und die auf diese Prozesse angewiesen sind. Wir zeigen an zwei Fallbeispielen, dass die inhaltliche Filterung von Informationen beim Eintritt ins Unternehmen ein wichtiges Werkzeug darstellt, um daran anschließende Wissens- und Informationsmanagementprozesse effizient zu gestalten.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  9. Deuschel, T.; Heuss, T.; Humm, B.: ¬Die Medienplattform : ein System für gerichtete und ungerichtete semantische Suchen (2015) 0.01 
    0.013056986 = product of:
  0.039170958 = sum of:
    0.012365777 = weight(_text_:in in 2233) [ClassicSimilarity], result of:
      0.012365777 = score(doc=2233,freq=6.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.2082456 = fieldWeight in 2233, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0625 = fieldNorm(doc=2233)
    0.026805183 = weight(_text_:und in 2233) [ClassicSimilarity], result of:
      0.026805183 = score(doc=2233,freq=4.0), product of:
        0.09675359 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.043654136 = queryNorm
        0.27704588 = fieldWeight in 2233, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.0625 = fieldNorm(doc=2233)
  0.33333334 = coord(2/6)
    Abstract
    Die Medienplattform bietet neuartige Möglichkeiten, um Medienbestände zu entdecken. In zwei verschiedenen Anwendungsszenarien unterstützt sie unterschiedliche Suchparadigmen: Für browsingbasierte Anwendungen wird das Digitale Schlendern vorgestellt, eine Methode in der semantische Zusammenhänge von Medien als Explorationsanreiz genutzt werden. Für Anwendungen bei denen der Nutzer weiß, was er sucht, aber nicht wie das gesuchte Medium heißt, wird eine suchkontextsensitive semantische Facettierung vorgestellt.
    Source
    Information - Wissenschaft und Praxis. 66(2015) H.4, S.201-206
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  10. Mlodzka-Stybel, A.: Towards continuous improvement of users' access to a library catalogue (2014) 0.01 
    0.01240959 = product of:
  0.03722877 = sum of:
    0.016527908 = weight(_text_:in in 1466) [ClassicSimilarity], result of:
      0.016527908 = score(doc=1466,freq=14.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.27833787 = fieldWeight in 1466, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1466)
    0.020700864 = product of:
      0.04140173 = sum of:
        0.04140173 = weight(_text_:22 in 1466) [ClassicSimilarity], result of:
          0.04140173 = score(doc=1466,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.2708308 = fieldWeight in 1466, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1466)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    The paper discusses the issue of increasing users' access to library records by their publication in Google. Data from the records, converted into html format, have been indexed by Google. The process covered basic formal description fields of the records, description of the content, supported with a thesaurus, as well as an abstract, if present in the record. In addition to monitoring the end users' statistics, the pilot testing covered visibility of library records in Google search results.
    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
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  11. Salaba, A.; Zeng, M.L.: Extending the "Explore" user task beyond subject authority data into the linked data sphere (2014) 0.01 
    0.01106493 = product of:
  0.033194788 = sum of:
    0.012493922 = weight(_text_:in in 1465) [ClassicSimilarity], result of:
      0.012493922 = score(doc=1465,freq=8.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.21040362 = fieldWeight in 1465, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1465)
    0.020700864 = product of:
      0.04140173 = sum of:
        0.04140173 = weight(_text_:22 in 1465) [ClassicSimilarity], result of:
          0.04140173 = score(doc=1465,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.2708308 = fieldWeight in 1465, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1465)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    "Explore" is a user task introduced in the Functional Requirements for Subject Authority Data (FRSAD) final report. Through various case scenarios, the authors discuss how structured data, presented based on Linked Data principles and using knowledge organisation systems (KOS) as the backbone, extend the explore task within and beyond subject authority data.
    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
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  12. Zeng, M.L.; Gracy, K.F.; Zumer, M.: Using a semantic analysis tool to generate subject access points : a study using Panofsky's theory and two research samples (2014) 0.01 
    0.010286495 = product of:
  0.030859483 = sum of:
    0.013115887 = weight(_text_:in in 1464) [ClassicSimilarity], result of:
      0.013115887 = score(doc=1464,freq=12.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.22087781 = fieldWeight in 1464, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=1464)
    0.017743597 = product of:
      0.035487194 = sum of:
        0.035487194 = weight(_text_:22 in 1464) [ClassicSimilarity], result of:
          0.035487194 = score(doc=1464,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.23214069 = fieldWeight in 1464, 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=1464)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    This paper attempts to explore an approach of using an automatic semantic analysis tool to enhance the "subject" access to materials that are not included in the usual library subject cataloging process. Using two research samples the authors analyzed the access points supplied by OpenCalais, a semantic analysis tool. As an aid in understanding how computerized subject analysis might be approached, this paper suggests using the three-layer framework that has been accepted and applied in image analysis, developed by Erwin Panofsky.
    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
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  13. Brandão, W.C.; Santos, R.L.T.; Ziviani, N.; Moura, E.S. de; Silva, A.S. da: Learning to expand queries using entities (2014) 0.01 
    0.008863994 = product of:
  0.02659198 = sum of:
    0.011805649 = weight(_text_:in in 1343) [ClassicSimilarity], result of:
      0.011805649 = score(doc=1343,freq=14.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.19881277 = fieldWeight in 1343, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1343)
    0.014786332 = product of:
      0.029572664 = sum of:
        0.029572664 = weight(_text_:22 in 1343) [ClassicSimilarity], result of:
          0.029572664 = score(doc=1343,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.19345059 = fieldWeight in 1343, 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=1343)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    A substantial fraction of web search queries contain references to entities, such as persons, organizations, and locations. Recently, methods that exploit named entities have been shown to be more effective for query expansion than traditional pseudorelevance feedback methods. In this article, we introduce a supervised learning approach that exploits named entities for query expansion using Wikipedia as a repository of high-quality feedback documents. In contrast with existing entity-oriented pseudorelevance feedback approaches, we tackle query expansion as a learning-to-rank problem. As a result, not only do we select effective expansion terms but we also weigh these terms according to their predicted effectiveness. To this end, we exploit the rich structure of Wikipedia articles to devise discriminative term features, including each candidate term's proximity to the original query terms, as well as its frequency across multiple article fields and in category and infobox descriptors. Experiments on three Text REtrieval Conference web test collections attest the effectiveness of our approach, with gains of up to 23.32% in terms of mean average precision, 19.49% in terms of precision at 10, and 7.86% in terms of normalized discounted cumulative gain compared with a state-of-the-art approach for entity-oriented query expansion.
    Date
    22. 8.2014 17:07:50
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  14. Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011) 0.01 
    0.008308224 = product of:
  0.024924671 = sum of:
    0.010709076 = weight(_text_:in in 649) [ClassicSimilarity], result of:
      0.010709076 = score(doc=649,freq=8.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.18034597 = fieldWeight in 649, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=649)
    0.014215595 = weight(_text_:und in 649) [ClassicSimilarity], result of:
      0.014215595 = score(doc=649,freq=2.0), product of:
        0.09675359 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.043654136 = queryNorm
        0.14692576 = fieldWeight in 649, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.046875 = fieldNorm(doc=649)
  0.33333334 = coord(2/6)
    Abstract
    This paper is about a better understanding of the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-driven Digital Libraries. Three science model driven retrieval services are presented: co-word analysis based query expansion, re-ranking via Bradfordizing and author centrality. The services are evaluated with relevance assessments from which two important implications emerge: (1) precision values of the retrieval services are the same or better than the tf-idf retrieval baseline and (2) each service retrieved a disjoint set of documents. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. The proposed models and derived retrieval services therefore open up new viewpoints on the scientific knowledge space and provide an alternative framework to structure scholarly information systems.
    Series
    Bibliotheca Academica - Reihe Informations- und Bibliothekswissenschaften; Bd. 1
    Source
    Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  15. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.01 
    0.0070911944 = product of:
  0.021273583 = sum of:
    0.009444519 = weight(_text_:in in 1626) [ClassicSimilarity], result of:
      0.009444519 = score(doc=1626,freq=14.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.15905021 = fieldWeight in 1626, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.03125 = fieldNorm(doc=1626)
    0.011829065 = product of:
      0.02365813 = sum of:
        0.02365813 = weight(_text_:22 in 1626) [ClassicSimilarity], result of:
          0.02365813 = score(doc=1626,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.15476047 = fieldWeight in 1626, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=1626)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    Purpose - The growing volumes of semantic data available in the web result in the need for handling the information overload phenomenon. The potential of this amount of data is enormous but in most cases it is very difficult for users to visualize, explore and use this data, especially for lay-users without experience with Semantic Web technologies. The paper aims to discuss these issues. Design/methodology/approach - The Visual Information-Seeking Mantra "Overview first, zoom and filter, then details-on-demand" proposed by Shneiderman describes how data should be presented in different stages to achieve an effective exploration. The overview is the first user task when dealing with a data set. The objective is that the user is capable of getting an idea about the overall structure of the data set. Different information architecture (IA) components supporting the overview tasks have been developed, so they are automatically generated from semantic data, and evaluated with end-users. Findings - The chosen IA components are well known to web users, as they are present in most web pages: navigation bars, site maps and site indexes. The authors complement them with Treemaps, a visualization technique for displaying hierarchical data. These components have been developed following an iterative User-Centered Design methodology. Evaluations with end-users have shown that they get easily used to them despite the fact that they are generated automatically from structured data, without requiring knowledge about the underlying semantic technologies, and that the different overview components complement each other as they focus on different information search needs. Originality/value - Obtaining semantic data sets overviews cannot be easily done with the current semantic web browsers. Overviews become difficult to achieve with large heterogeneous data sets, which is typical in the Semantic Web, because traditional IA techniques do not easily scale to large data sets. There is little or no support to obtain overview information quickly and easily at the beginning of the exploration of a new data set. This can be a serious limitation when exploring a data set for the first time, especially for lay-users. The proposal is to reuse and adapt existing IA components to provide this overview to users and show that they can be generated automatically from the thesaurus and ontologies that structure semantic data while providing a comparable user experience to traditional web sites.
    Date
    20. 1.2015 18:30:22
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  16. Thenmalar, S.; Geetha, T.V.: Enhanced ontology-based indexing and searching (2014) 0.01 
    0.0067425817 = product of:
  0.020227745 = sum of:
    0.009877314 = weight(_text_:in in 1633) [ClassicSimilarity], result of:
      0.009877314 = score(doc=1633,freq=20.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.16633868 = fieldWeight in 1633, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1633)
    0.010350432 = product of:
      0.020700864 = sum of:
        0.020700864 = weight(_text_:22 in 1633) [ClassicSimilarity], result of:
          0.020700864 = score(doc=1633,freq=2.0), product of:
            0.15286934 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.043654136 = queryNorm
            0.1354154 = fieldWeight in 1633, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1633)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    Purpose - The purpose of this paper is to improve the conceptual-based search by incorporating structural ontological information such as concepts and relations. Generally, Semantic-based information retrieval aims to identify relevant information based on the meanings of the query terms or on the context of the terms and the performance of semantic information retrieval is carried out through standard measures-precision and recall. Higher precision leads to the (meaningful) relevant documents obtained and lower recall leads to the less coverage of the concepts. Design/methodology/approach - In this paper, the authors enhance the existing ontology-based indexing proposed by Kohler et al., by incorporating sibling information to the index. The index designed by Kohler et al., contains only super and sub-concepts from the ontology. In addition, in our approach, we focus on two tasks; query expansion and ranking of the expanded queries, to improve the efficiency of the ontology-based search. The aforementioned tasks make use of ontological concepts, and relations existing between those concepts so as to obtain semantically more relevant search results for a given query. Findings - The proposed ontology-based indexing technique is investigated by analysing the coverage of concepts that are being populated in the index. Here, we introduce a new measure called index enhancement measure, to estimate the coverage of ontological concepts being indexed. We have evaluated the ontology-based search for the tourism domain with the tourism documents and tourism-specific ontology. The comparison of search results based on the use of ontology "with and without query expansion" is examined to estimate the efficiency of the proposed query expansion task. The ranking is compared with the ORank system to evaluate the performance of our ontology-based search. From these analyses, the ontology-based search results shows better recall when compared to the other concept-based search systems. The mean average precision of the ontology-based search is found to be 0.79 and the recall is found to be 0.65, the ORank system has the mean average precision of 0.62 and the recall is found to be 0.51, while the concept-based search has the mean average precision of 0.56 and the recall is found to be 0.42. Practical implications - When the concept is not present in the domain-specific ontology, the concept cannot be indexed. When the given query term is not available in the ontology then the term-based results are retrieved. Originality/value - In addition to super and sub-concepts, we incorporate the concepts present in same level (siblings) to the ontological index. The structural information from the ontology is determined for the query expansion. The ranking of the documents depends on the type of the query (single concept query, multiple concept queries and concept with relation queries) and the ontological relations that exists in the query and the documents. With this ontological structural information, the search results showed us better coverage of concepts with respect to the query.
    Date
    20. 1.2015 18:30:22
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  17. Bernier-Colborne, G.: Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor (2014) 0.00 
    0.0026606917 = product of:
  0.01596415 = sum of:
    0.01596415 = weight(_text_:in in 2153) [ClassicSimilarity], result of:
      0.01596415 = score(doc=2153,freq=10.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.26884392 = fieldWeight in 2153, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0625 = fieldNorm(doc=2153)
  0.16666667 = coord(1/6)
    Abstract
    We describe a method of encoding cooccurrence information in a three-way tensor from which HAL-style word space models can be derived. We use these models to identify semantic relations in a specialized corpus. Results suggest that the tensor-based methods we propose are more robust than the basic HAL model in some respects.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  18. Oh, K.E.; Joo, S.; Jeong, E.-J.: Online consumer health information organization : users' perspectives on faceted navigation (2015) 0.00 
    0.0024665273 = product of:
  0.014799163 = sum of:
    0.014799163 = weight(_text_:in in 2197) [ClassicSimilarity], result of:
      0.014799163 = score(doc=2197,freq=22.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.24922498 = fieldWeight in 2197, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2197)
  0.16666667 = coord(1/6)
    Abstract
    We investigate facets of online health information that are preferred, easy-to-use and useful in accessing online consumer health information from a user's perspective. In this study, the existing classification structure of 20 top ranked consumer health information websites in South Korea were analyzed, and nine facets that are used in organizing health information in those websites were identified. Based on the identified facets, an online survey, which asked participants' preferences for as well as perceived ease-of-use and usefulness of each facet in accessing online health information, was conducted. The analysis of the survey results showed that among the nine facets, the "diseases & conditions" and "body part" facets were most preferred, and perceived as easy-to-use and useful in accessing online health information. In contrast, "age," "gender," and "alternative medicine" facets were perceived as relatively less preferred, easy-to-use and useful. This research study has direct implications for organization and design of health information websites in that it suggests facets to include and avoid in organizing and providing access points to online health information.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  19. Gnoli, C.; Santis, R. de; Pusterla, L.: Commerce, see also Rhetoric : cross-discipline relationships as authority data for enhanced retrieval (2015) 0.00 
    0.0024665273 = product of:
  0.014799163 = sum of:
    0.014799163 = weight(_text_:in in 2299) [ClassicSimilarity], result of:
      0.014799163 = score(doc=2299,freq=22.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.24922498 = fieldWeight in 2299, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2299)
  0.16666667 = coord(1/6)
    Abstract
    Subjects in a classification scheme are often related to other subjects belonging to different hierarchies. This problem was identified already by Hugh of Saint Victor (1096?-1141). Still with present-time bibliographic classifications, a user browsing the class of architecture under the hierarchy of arts may miss relevant items classified in building or in civil engineering under the hierarchy of applied sciences. To face these limitations we have developed SciGator, a browsable interface to explore the collections of all scientific libraries at the University of Pavia. Besides showing subclasses of a given class, the interface points users to related classes in the Dewey Decimal Classification, or in other local schemes, and allows for expanded queries that include them. This is made possible by using a special field for related classes in the database structure which models classification authority data. Ontologically, many relationships between classes in different hierarchies are cases of existential dependence. Dependence can occur between disciplines in such disciplinary classifications as Dewey (e.g. architecture existentially depends on building), or between phenomena in such phenomenon-based classifications as the Integrative Levels Classification (e.g. fishing as a human activity existentially depends on fish as a class of organisms). We provide an example of its representation in OWL and discuss some details of it.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  20. Ru, C.; Tang, J.; Li, S.; Xie, S.; Wang, T.: Using semantic similarity to reduce wrong labels in distant supervision for relation extraction (2018) 0.00 
    0.0024665273 = product of:
  0.014799163 = sum of:
    0.014799163 = weight(_text_:in in 5055) [ClassicSimilarity], result of:
      0.014799163 = score(doc=5055,freq=22.0), product of:
        0.059380736 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.043654136 = queryNorm
        0.24922498 = fieldWeight in 5055, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5055)
  0.16666667 = coord(1/6)
    Abstract
    Distant supervision (DS) has the advantage of automatically generating large amounts of labelled training data and has been widely used for relation extraction. However, there are usually many wrong labels in the automatically labelled data in distant supervision (Riedel, Yao, & McCallum, 2010). This paper presents a novel method to reduce the wrong labels. The proposed method uses the semantic Jaccard with word embedding to measure the semantic similarity between the relation phrase in the knowledge base and the dependency phrases between two entities in a sentence to filter the wrong labels. In the process of reducing wrong labels, the semantic Jaccard algorithm selects a core dependency phrase to represent the candidate relation in a sentence, which can capture features for relation classification and avoid the negative impact from irrelevant term sequences that previous neural network models of relation extraction often suffer. In the process of relation classification, the core dependency phrases are also used as the input of a convolutional neural network (CNN) for relation classification. The experimental results show that compared with the methods using original DS data, the methods using filtered DS data performed much better in relation extraction. It indicates that the semantic similarity based method is effective in reducing wrong labels. The relation extraction performance of the CNN model using the core dependency phrases as input is the best of all, which indicates that using the core dependency phrases as input of CNN is enough to capture the features for relation classification and could avoid negative impact from irrelevant terms.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval

Authors

Languages

  • e 73
  • d 5
  • More… Less…

Themes