Search (49 results, page 2 of 3)

  • × language_ss:"e"
  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2010 TO 2020}
  1. Kiren, T.: ¬A clustering based indexing technique of modularized ontologies for information retrieval (2017) 0.01 
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    Date
    20. 1.2015 18:30:22
  2. Thenmalar, S.; Geetha, T.V.: Enhanced ontology-based indexing and searching (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
  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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  4. Cumyn, M.; Reiner, G.; Mas, S.; Lesieur, D.: Legal knowledge representation using a faceted scheme (2019) 0.00 
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  5. Jimeno-Yepes, A.; Berlanga Llavori, R.; Rebholz-Schuhmann, D.: Ontology refinement for improved information retrieval (2010) 0.00 
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  6. Blanco, E.; Cankaya, H.C.; Moldovan, D.: Composition of semantic relations : model and applications (2010) 0.00 
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  7. Shen, M.; Liu, D.-R.; Huang, Y.-S.: Extracting semantic relations to enrich domain ontologies (2012) 0.00 
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  8. 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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  9. Kless, D.; Milton, S.: Comparison of thesauri and ontologies from a semiotic perspective (2010) 0.00 
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  10. Soergel, D.: Towards a relation ontology for the Semantic Web (2011) 0.00 
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  11. Blanco, E.; Moldovan, D.: ¬A model for composing semantic relations (2011) 0.00 
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  12. Bold, N.; Kim, W.-J.; Yang, J.-D.: Converting object-based thesauri into XML Topic Maps (2010) 0.00 
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  13. Schulz, S.; Schober, D.; Tudose, I.; Stenzhorn, H.: ¬The pitfalls of thesaurus ontologization : the case of the NCI thesaurus (2010) 0.00 
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  14. Mohr, J.W.; Bogdanov, P.: Topic models : what they are and why they matter (2013) 0.00 
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    Abstract
    We provide a brief, non-technical introduction to the text mining methodology known as "topic modeling." We summarize the theory and background of the method and discuss what kinds of things are found by topic models. Using a text corpus comprised of the eight articles from the special issue of Poetics on the subject of topic models, we run a topic model on these articles, both as a way to introduce the methodology and also to help summarize some of the ways in which social and cultural scientists are using topic models. We review some of the critiques and debates over the use of the method and finally, we link these developments back to some of the original innovations in the field of content analysis that were pioneered by Harold D. Lasswell and colleagues during and just after World War II.
  15. 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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  16. Arenas, M.; Cuenca Grau, B.; Kharlamov, E.; Marciuska, S.; Zheleznyakov, D.: Faceted search over ontology-enhanced RDF data (2014) 0.00 
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  17. Crystal, D.: Semantic targeting : past, present, and future (2010) 0.00 
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  18. Sánchez, D.; Batet, M.; Valls, A.; Gibert, K.: Ontology-driven web-based semantic similarity (2010) 0.00 
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  19. Khoo, C.S.G.; Zhang, D.; Wang, M.; Yun, X.J.: Subject organization in three types of information resources : an exploratory study (2012) 0.00 
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  20. Kless, D.; Milton, S.; Kazmierczak, E.; Lindenthal, J.: Thesaurus and ontology structure : formal and pragmatic differences and similarities (2015) 0.00 
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