Search (62 results, page 2 of 4)

  • × language_ss:"e"
  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Kiela, D.; Clark, S.: Detecting compositionality of multi-word expressions using nearest neighbours in vector space models (2013) 0.00
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  2. Degkwitz, A.: "Next Generation Library Systems (NGLS) in Germany" (ALMA,WMS) (2016) 0.00
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    Location
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  3. Cumyn, M.; Reiner, G.; Mas, S.; Lesieur, D.: Legal knowledge representation using a faceted scheme (2019) 0.00
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  4. Bates, M.J.: ¬The nature of browsing (2019) 0.00
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    Content
    Bezug (Letter to the editor) zu: McKay, D., Chang, S.,, Smith, W., Buchanan, G.: The things we talk about when we talk about browsing: an empirical typology of library browsing behavior. Journal of the Association for Information Science and Technology (2019).
  5. Blanco, E.; Cankaya, H.C.; Moldovan, D.: Composition of semantic relations : model and applications (2010) 0.00
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  6. Shen, M.; Liu, D.-R.; Huang, Y.-S.: Extracting semantic relations to enrich domain ontologies (2012) 0.00
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  7. Junger, U.: Can indexing be automated? : the example of the Deutsche Nationalbibliothek (2012) 0.00
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  8. Gábor, K.; Zargayouna, H.; Tellier, I.; Buscaldi, D.; Charnois, T.: ¬A typology of semantic relations dedicated to scientific literature analysis (2016) 0.00
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  9. Fallaw, C.; Dunham, E.; Wickes, E.; Strong, D.; Stein, A.; Zhang, Q.; Rimkus, K.; ill Ingram, B.; Imker, H.J.: Overly honest data repository development (2016) 0.00
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  10. Forero, D.; Peterson, N.; Hamilton, A.: Building an institutional author search tool (2019) 0.00
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  11. Bawden, D.; Robinson, L.: Information and the gaining of understanding (2015) 0.00
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  12. Hannemann, J.; Kett, J.: Linked data for libraries (2010) 0.00
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  13. Blanco, E.; Moldovan, D.: ¬A model for composing semantic relations (2011) 0.00
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  14. Bold, N.; Kim, W.-J.; Yang, J.-D.: Converting object-based thesauri into XML Topic Maps (2010) 0.00
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  15. 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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  16. Aerts, D.; Broekaert, J.; Sozzo, S.; Veloz, T.: Meaning-focused and quantum-inspired information retrieval (2013) 0.00
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  17. Kempf, A.O.; Ritze, D.; Eckert, K.; Zapilko, B.: New ways of mapping knowledge organization systems : using a semi­automatic matching­procedure for building up vocabulary crosswalks (2013) 0.00
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  18. 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.
  19. 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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  20. Shaw, R.; Rabinowitz, A.; Golden, P.; Kansa, E.: Report on and demonstration of the PeriodO period gazetteer (2015) 0.00
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    Abstract
    The PeriodO period gazetteer documents definitions of historical period names. Each entry of the gazetteer identifies the definition of a single period. To be included in the gazetteer, a definition must a) give the period a name, b) impose some temporal bounds on the period, c) have some implicit or explicit association with a geographical region, and d) have been formally or informally published in some citable source. Much care has been put into giving period definitions stable identifiers that can be resolved to RDF representations of period definitions. Anyone can propose additions of new definitions to PeriodO, and we have implemented an open source web service and browser-based client for distributed versioning and collaborative maintenance of the gazetteer.

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