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  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × theme_ss:"Wissensrepräsentation"
  1. Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013) 0.01 
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    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.
    Date
    29. 9.2015 18:56:44
    Source
    Open journal of knowledge management. 2013, Ausgabe VII = http://www.community-of-knowledge.de/beitrag/semantische-filterung-ein-werkzeug-zur-steigerung-der-effizienz-im-wissensmanagement/
  2. Boteram, F.: Typisierung semantischer Relationen in integrierten Systemen der Wissensorganisation (2013) 0.00 
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    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.
  3. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.00 
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    Abstract
    Ontologien werden eingesetzt, um durch semantische Fundierung insbesondere für das Dokumentenretrieval eine grundlegend bessere Basis zu haben, als dies gegenwärtiger Stand der Technik ist. Vorgestellt wird eine an der FH Darmstadt entwickelte und eingesetzte Ontologie, die den Gegenstandsbereich Hochschule sowohl breit abdecken und gleichzeitig differenziert semantisch beschreiben soll. Das Problem der semantischen Suche besteht nun darin, dass sie für Informationssuchende so einfach wie bei gängigen Suchmaschinen zu nutzen sein soll, und gleichzeitig auf der Grundlage des aufwendigen Informationsmodells hochwertige Ergebnisse liefern muss. Es wird beschrieben, welche Möglichkeiten die verwendete Software K-Infinity bereitstellt und mit welchem Konzept diese Möglichkeiten für eine semantische Suche nach Dokumenten und anderen Informationseinheiten (Personen, Veranstaltungen, Projekte etc.) eingesetzt werden.
    Date
    11. 2.2011 18:22:58
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.5/6, S.281-290
  4. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.00 
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    Abstract
    Ontologien werden eingesetzt, um durch semantische Fundierung insbesondere für das Dokumentenretrieval eine grundlegend bessere Basis zu haben, als dies gegenwärtiger Stand der Technik ist. Vorgestellt wird eine an der FH Darmstadt entwickelte und eingesetzte Ontologie, die den Gegenstandsbereich Hochschule sowohl breit abdecken und gleichzeitig differenziert semantisch beschreiben soll. Das Problem der semantischen Suche besteht nun darin, dass sie für Informationssuchende so einfach wie bei gängigen Suchmaschinen zu nutzen sein soll, und gleichzeitig auf der Grundlage des aufwendigen Informationsmodells hochwertige Ergebnisse liefern muss. Es wird beschrieben, welche Möglichkeiten die verwendete Software K-Infinity bereitstellt und mit welchem Konzept diese Möglichkeiten für eine semantische Suche nach Dokumenten und anderen Informationseinheiten (Personen, Veranstaltungen, Projekte etc.) eingesetzt werden.
    Date
    11. 2.2011 18:22:25
  5. Järvelin, K.; Kristensen, J.; Niemi, T.; Sormunen, E.; Keskustalo, H.: ¬A deductive data model for query expansion (1996) 0.00 
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    Source
    Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '96), Zürich, Switzerland, August 18-22, 1996. Eds.: H.P. Frei et al
  6. Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005) 0.00 
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    Source
    The Semantic Web: research and applications ; second European Semantic WebConference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June 1, 2005 ; proceedings. Eds.: A. Gómez-Pérez u. J. Euzenat
  7. Weiermann, S.L.: Semantische Netze und Begriffsdeskription in der Wissensrepräsentation (2000) 0.00 
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    BK
    18.00 Einzelne Sprachen und Literaturen allgemein
    Classification
    18.00 Einzelne Sprachen und Literaturen allgemein
    Content
    Inhalt (in Kürze): Einleitung. Wissensrepräsentation. Semantische Netze. Wissensrepräsentationssysteme. Empirische Analyse und Systemerweiterungen.
  8. Atanassova, I.; Bertin, M.: Semantic facets for scientific information retrieval (2014) 0.00 
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    Source
    Semantic Web Evaluation Challenge. SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Eds.: V. Presutti et al
  9. Drexel, G.: Knowledge engineering for intelligent information retrieval (2001) 0.00 
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    Source
    Computational linguistics and intelligent text processing: second international conference; Proceedings. CICLing 2001, Mexico City, Mexiko, 18.-24.2.2001. Ed.: Alexander Gelbukh
  10. Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009) 0.00 
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    Source
    Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol I, IMECS 2009, March 18 - 20, 2009, Hong Kong
  11. Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008) 0.00 
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    Date
    9.11.2008 13:07:29
  12. Ma, N.; Zheng, H.T.; Xiao, X.: ¬An ontology-based latent semantic indexing approach using long short-term memory networks (2017) 0.00 
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    Source
    Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part I. Eds.: L. Chen et al
  13. Thenmalar, S.; Geetha, T.V.: Enhanced ontology-based indexing and searching (2014) 0.00 
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    Date
    20. 1.2015 18:30:22
  14. Baofu, P.: ¬The future of information architecture : conceiving a better way to understand taxonomy, network, and intelligence (2008) 0.00 
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    Isbn
    978-1-84334-471-1
  15. Moreira, W.; Martínez-Ávila, D.: Concept relationships in knowledge organization systems : elements for analysis and common research among fields (2018) 0.00 
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    Source
    Cataloging and classification quarterly. 56(2018) no.1, S.19-39
  16. Smith, D.A.; Shadbolt, N.R.: FacetOntology : expressive descriptions of facets in the Semantic Web (2012) 0.00 
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    Footnote
    Volltext unter: ..\http://eprints.soton.ac.uk/345363/1/paper.pdf.
  17. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.00 
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    Abstract
    Documents in rich text corpora usually contain multiple facets of information. For example, an article about a specific disease often consists of different facets such as symptom, treatment, cause, diagnosis, prognosis, and prevention. Thus, documents may have different relations based on different facets. Powerful search tools have been developed to help users locate lists of individual documents that are most related to specific keywords. However, there is a lack of effective analysis tools that reveal the multifaceted relations of documents within or cross the document clusters. In this paper, we present FacetAtlas, a multifaceted visualization technique for visually analyzing rich text corpora. FacetAtlas combines search technology with advanced visual analytical tools to convey both global and local patterns simultaneously. We describe several unique aspects of FacetAtlas, including (1) node cliques and multifaceted edges, (2) an optimized density map, and (3) automated opacity pattern enhancement for highlighting visual patterns, (4) interactive context switch between facets. In addition, we demonstrate the power of FacetAtlas through a case study that targets patient education in the health care domain. Our evaluation shows the benefits of this work, especially in support of complex multifaceted data analysis.
  18. Hannech, A.: Système de recherche d'information étendue basé sur une projection multi-espaces (2018) 0.00 
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    Date
    29. 9.2018 18:57:38
  19. Koopman, B.; Zuccon, G.; Bruza, P.; Sitbon, L.; Lawley, M.: Information retrieval as semantic inference : a graph Inference model applied to medical search (2016) 0.00 
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    Source
    Information Retrieval Journal. 19(2016) no.1, S.6-37

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