Search (56 results, page 1 of 3)

Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.20

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Content: Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.

Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.17

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Content: Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.

Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.13

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Content: Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.

Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.04

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Date: 11. 2.2011 18:22:25

Hunger, M.; Neubauer, P.: ¬Die vernetzte Welt : Abfragesprachen für Graphendatenbanken (2013) 0.02
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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.

Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.01

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Pages: S.11-22

Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.01

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Date: 13.12.2017 14:17:22

Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01

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Date: 26.12.2011 13:22:07

Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.01

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Date: 30. 5.2010 16:22:35

Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.01

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Source: Spektrum der Wissenschaft. 2018, H.1, S.22-27

Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.01
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Abstract

Das wachsende Informationsvolumen im WWW führt paradoxerweise zu einer immer schwierigeren Nutzung, das Finden und Verknüpfen von Informationen in einem unstrukturierten Umfeld wird zur Sisyphosarbeit. Hier versprechen Semantic-Web-Ansätze Abhilfe. Die Autoren beschreiben Technologien, wie eine semantische Integration verteilter Daten durch verteilte Ontologien erreicht werden kann. Diese Techniken sind sowohl für Forscher als auch für Professionals interessant, die z.B. die Integration von Produktdaten aus verteilten Datenbanken im WWW oder von lose miteinander verbunden Anwendungen in verteilten Organisationen implementieren sollen.

Börner, K.: Atlas of knowledge : anyone can map (2015) 0.01

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Date: 22. 1.2017 16:54:03
22. 1.2017 17:10:56

Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009) 0.01

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Date: 31. 7.2010 16:58:22

OWL Web Ontology Language Test Cases (2004) 0.01

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Date: 14. 8.2011 13:33:22

Giunchiglia, F.; Villafiorita, A.; Walsh, T.: Theories of abstraction (1997) 0.01

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Date: 1.10.2018 14:13:22

Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.01

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Date: 22. 5.2021 12:43:05

Priss, U.: Faceted information representation (2000) 0.01

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Date: 22. 1.2016 17:47:06

Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.01

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Date: 11. 2.2011 18:22:58

Deokattey, S.; Neelameghan, A.; Kumar, V.: ¬A method for developing a domain ontology : a case study for a multidisciplinary subject (2010) 0.01

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Date: 22. 7.2010 19:41:16

Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.01

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Date: 12. 2.2011 17:35:22

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