-
Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
-
Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006)
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- Source
- Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Weisbrod, D.: Pflichtablieferung von Dissertationen mit Forschungsdaten an die DNB : Anlagerungsformen und Datenmodell (2018)
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- Abstract
- Im Rahmen des DFG-Projektes "Elektronische Dissertationen Plus" (eDissPlus) entwickeln die Humboldt-Universität zu Berlin (HU) und die Deutsche Nationalbibliothek (DNB) Lösungen für eine zeitgemäße Archivierung und Publikation von Forschungsdaten, die im Zusammenhang mit Promotionsvorhaben entstehen. Dabei müssen die unterschiedlichen Anlagerungsformen von Forschungsdaten an eine Dissertation berücksichtigt und in einem Datenmodell abgebildet sowie das von der DNB verwendete Metadatenschema XMetaDissPlus überarbeitet werden. Das ist notwendig, um die Relationen zwischen der Dissertation und den abgelieferten Forschungsdaten-Supplementen sowie den Daten, die auf externen Repositorien verbleiben sollen, nachzuweisen und im Katalog der DNB recherchierbar zu machen. Dieser Beitrag stellt das Datenmodell und die Änderungen im Metadatenschema vor.
-
Hoang, H.H.; Tjoa, A.M: ¬The state of the art of ontology-based query systems : a comparison of existing approaches (2006)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Celik, I.; Abel, F.; Siehndel, P.: Adaptive faceted search on Twitter (2011)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gábor, K.; Zargayouna, H.; Tellier, I.; Buscaldi, D.; Charnois, T.: ¬A typology of semantic relations dedicated to scientific literature analysis (2016)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Fowler, R.H.; Wilson, B.A.; Fowler, W.A.L.: Information navigator : an information system using associative networks for display and retrieval (1992)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Landauer, T.K.; Foltz, P.W.; Laham, D.: ¬An introduction to Latent Semantic Analysis (1998)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Arenas, M.; Cuenca Grau, B.; Kharlamov, E.; Marciuska, S.; Zheleznyakov, D.: Faceted search over ontology-enhanced RDF data (2014)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Prieto-Díaz, R.: ¬A faceted approach to building ontologies (2002)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gnoli, C.; Pusterla, L.; Bendiscioli, A.; Recinella, C.: Classification for collections mapping and query expansion (2016)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Mäkelä, E.; Hyvönen, E.; Saarela, S.; Vilfanen, K.: Application of ontology techniques to view-based semantic serach and browsing (2012)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Wongthontham, P.; Abu-Salih, B.: Ontology-based approach for semantic data extraction from social big data : state-of-the-art and research directions (2018)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Hunger, M.; Neubauer, P.: ¬Die vernetzte Welt : Abfragesprachen für Graphendatenbanken (2013)
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- Abstract
- Graphendatenbanken sind darauf optimiert, stark miteinander vernetzte Informationen effizient zu speichern und greifbar zu machen. Welchen Ansprüchen müssen Abfragesprachen genügen, damit sie für die Arbeit mit diesen Datenbanken geeignet sind? Bei der Aufarbeitung realer Informationen zeigt sich, dass ein hoher, aber unterschätzter Wert in den Beziehungen zwischen Elementen steckt. Seien es Ereignisse aus Geschichte und Politik, Personen in realen und virtuellen sozialen Netzen, Proteine und Gene, Abhängigkeiten in Märkten und Ökonomien oder Rechnernetze, Computer, Software und Anwender - alles ist miteinander verbunden. Der Graph ist ein Datenmodell, das solche Verbindungsgeflechte abbilden kann. Leider lässt sich das Modell mit relationalen und Aggregat-orientierten NoSQL-Datenbanken ab einer gewissen Komplexität jedoch schwer handhaben. Graphendatenbanken sind dagegen darauf optimiert, solche stark miteinander vernetzten Informationen effizient zu speichern und greifbar zu machen. Auch komplexe Fragen lassen sich durch ausgefeilte Abfragen schnell beantworten. Hierbei kommt es auf die geeignete Abfragesprache an.
-
Schaefer, A.; Jordan, M.; Klas, C.-P.; Fuhr, N.: Active support for query formulation in virtual digital libraries : a case study with DAFFODIL (2005)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Tudhope, D.; Alani, H.; Jones, C.: Augmenting thesaurus relationships : possibilities for retrieval (2001)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Smith, D.A.; Shadbolt, N.R.: FacetOntology : expressive descriptions of facets in the Semantic Web (2012)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
