Search (18 results, page 1 of 1)

  • × theme_ss:"Computerlinguistik"
  • × theme_ss:"Wissensrepräsentation"
  1. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.00
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    Abstract
    Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
    Source
    Journal of the Association for Information Science and Technology. 75(2023) no.2, S.167-187
  2. Rajasurya, S.; Muralidharan, T.; Devi, S.; Swamynathan, S.: Semantic information retrieval using ontology in university domain (2012) 0.00
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  3. Clark, M.; Kim, Y.; Kruschwitz, U.; Song, D.; Albakour, D.; Dignum, S.; Beresi, U.C.; Fasli, M.; Roeck, A De: Automatically structuring domain knowledge from text : an overview of current research (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.3, S.552-568
  4. Helbig, H.: ¬Die semantische Struktur natürlicher Sprache : Wissensrepräsentation mit MultiNet (2001) 0.00
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    Pages
    XIII,591 S. + CD-ROM
  5. Kunze, C.: Lexikalisch-semantische Wortnetze in Sprachwissenschaft und Sprachtechnologie (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.309-314
  6. Mustafa El Hadi, W.: Terminologies, ontologies and information access (2006) 0.00
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    Pages
    S.129-142
  7. Nielsen, R.D.; Ward, W.; Martin, J.H.; Palmer, M.: Extracting a representation from text for semantic analysis (2008) 0.00
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    Pages
    S.241-244
  8. Pepper, S.; Arnaud, P.J.L.: Absolutely PHAB : toward a general model of associative relations (2020) 0.00
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    Source
    ¬The Mental Lexicon. 15(2020) no.1, S.101-122
  9. Shen, M.; Liu, D.-R.; Huang, Y.-S.: Extracting semantic relations to enrich domain ontologies (2012) 0.00
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  10. Aizawa, A.; Kohlhase, M.: Mathematical information retrieval (2021) 0.00
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    Pages
    S.169-185
  11. Cimiano, P.; Völker, J.; Studer, R.: Ontologies on demand? : a description of the state-of-the-art, applications, challenges and trends for ontology learning from text (2006) 0.00
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.315-320
  12. Rosemblat, G.; Resnick, M.P.; Auston, I.; Shin, D.; Sneiderman, C.; Fizsman, M.; Rindflesch, T.C.: Extending SemRep to the public health domain (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.1963-1974
  13. Wright, L.W.; Nardini, H.K.G.; Aronson, A.R.; Rindflesch, T.C.: Hierarchical concept indexing of full-text documents in the Unified Medical Language System Information sources Map (1999) 0.00
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    Source
    Journal of the American Society for Information Science. 50(1999) no.6, S.514-523
  14. Hodgson, J.P.E.: Knowledge representation and language in AI (1991) 0.00
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    Pages
    230 S
  15. Helbig, H.: Wissensverarbeitung und die Semantik der natürlichen Sprache : Wissensrepräsentation mit MultiNet (2008) 0.00
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    Pages
    XVII, 628 S
  16. Rindflesch, T.C.; Fizsman, M.: The interaction of domain knowledge and linguistic structure in natural language processing : interpreting hypernymic propositions in biomedical text (2003) 0.00
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    Source
    Journal of Biomedical Informatics, 36(2003) no.6), S.462-477
  17. Helbig, H.: Knowledge representation and the semantics of natural language (2014) 0.00
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    Pages
    XIX, 647 S
  18. Vlachidis, A.; Binding, C.; Tudhope, D.; May, K.: Excavating grey literature : a case study on the rich indexing of archaeological documents via natural language-processing techniques and knowledge-based resources (2010) 0.00
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    Source
    Aslib proceedings. 62(2010) nos.4/5, S.466-475

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  • e 15
  • d 3

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