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  1. Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009) 0.05
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    Date
    31. 7.2010 16:58:22
    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  2. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.04
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    Date
    11. 2.2011 18:22:58
  3. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.04
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    Date
    1. 8.2010 12:35:22
    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  4. Baião Salgado Silva, G.; Lima, G.Â. Borém de Oliveira: Using topic maps in establishing compatibility of semantically structured hypertext contents (2012) 0.03
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    Abstract
    Considering the characteristics of hypertext systems and problems such as cognitive overload and the disorientation of users, this project studies subject hypertext documents that have undergone conceptual structuring using facets for content representation and improvement of information retrieval during navigation. The main objective was to assess the possibility of the application of topic map technology for automating the compatibilization process of these structures. For this purpose, two dissertations from the UFMG Information Science Post-Graduation Program were adopted as samples. Both dissertations had been duly analyzed and structured on the MHTX (Hypertextual Map) prototype database. The faceted structures of both dissertations, which had been represented in conceptual maps, were then converted into topic maps. It was then possible to use the merge property of the topic maps to promote the semantic interrelationship between the maps and, consequently, between the hypertextual information resources proper. The merge results were then analyzed in the light of theories dealing with the compatibilization of languages developed within the realm of information technology and librarianship from the 1960s on. The main goals accomplished were: (a) the detailed conceptualization of the merge process of the topic maps, considering the possible compatibilization levels and the applicability of this technology in the integration of faceted structures; and (b) the production of a detailed sequence of steps that may be used in the implementation of topic maps based on faceted structures.
    Date
    22. 2.2013 11:39:23
  5. 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) 0.03
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  6. Grzonkowski, S.; Kruk, S.R.; Gzella, A.; Demczuk, J.; McDaniel, B.: Community-aware ontologies (2009) 0.02
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    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  7. Kruk, S.R.; McDaniel, B.: Conclusions: The future of semantic digital libraries (2009) 0.02
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    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  8. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.02
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    Pages
    S.11-22
  9. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.02
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  10. Kruk, S.R.; McDaniel, B.: Goals of semantic digital libraries (2009) 0.01
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    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  11. El idrissi esserhrouchni, O. et al.; Frikh, B.; Ouhbi, B.: OntologyLine : a new framework for learning non-taxonomic relations of domain ontology (2016) 0.01
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  12. Giunchiglia, F.; Villafiorita, A.; Walsh, T.: Theories of abstraction (1997) 0.01
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    Date
    1.10.2018 14:13:22
  13. 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
  14. Haslhofer, B.; Knezevié, P.: ¬The BRICKS digital library infrastructure (2009) 0.01
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    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  15. Öttl, S.; Streiff, D.; Stettler, N.; Studer, M.: Aufbau einer Testumgebung zur Ermittlung signifikanter Parameter bei der Ontologieabfrage (2010) 0.01
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    Abstract
    Der Einsatz von semantischen Technologien ist mittlerweile ein etabliertes Mittel zur Optimierung von Information-Retrieval-Systemen. Obwohl der Einsatz von Ontologien für verschiedene Anwendungsbereiche wie beispielsweise zur Query-Expansion (Bhogal et al. 2007), zur Strukturierung von Benutzeroberflächen bzw. zur Dialoggestaltung (z. B. Garcia & Sicilia 2003; Liu et al. 2005; Lopez et al. 2006; Paulheim 2009; Paulheim & Probst 2010), in Recommendersystemen (z. B. Taehee et al. 2006; Cantador et al. 2008; Middleton et al. 2001; Middleton et al. 2009) usw. rege erforscht wird, gibt es noch kaum Bestrebungen, die einzelnen Abfragemethodiken für Ontologien systematisch zu untersuchen. Bei der Abfrage von Ontologien geht es in erster Linie darum, Zusammenhänge zwischen Begriffen zu ermitteln, indem hierarchische (Classes und Individuals), semantische (Object Properties) und ergänzende (Datatype Properties) Beziehungen abgefragt oder logische Verknüpfungen abgeleitet werden. Hierbei werden sogenannte Reasoner für die Ableitungen und als Abfragesprache SPARQL (seltener auch XPath) eingesetzt. Ein weiterer, weniger oft eingesetzter, vielversprechender Ansatz findet sich bei Hoser et al. (2006) und Weng & Chang (2008), die Techniken der Sozialen Netzwerkanalyse zur Auswertung von Ontologien miteinsetzen (Semantic Network Analysis). Um die Abfrage von Ontologien sowie Kombinationen der unterschiedlichen Abfragemöglichkeiten systematisch untersuchen zu können, wurde am SII eine entsprechende Testumgebung entwickelt, die in diesem Beitrag genauer vorgestellt werden soll.
  16. Voß, J.: Vom Social Tagging zum Semantic Tagging (2008) 0.01
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    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  17. Held, C.; Cress, U.: Social Tagging aus kognitionspsychologischer Sicht (2008) 0.01
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    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  18. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.01
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  19. Blobel, B.: Ontologies, knowledge representation, artificial intelligence : hype or prerequisite for international pHealth interoperability? (2011) 0.01
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  20. Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022) 0.01
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Authors

Years

Languages

  • e 72
  • d 16