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Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014)
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- Source
- http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
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Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010)
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- Date
- 26.12.2011 13:40:22
-
Stahn, L.-L.: Ontology matching for archaeological KOS (2015)
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Mengel, T.; Svensson, L.: Dewey basics for mapping - Bringing Dewey mappings onto the Semantic Web (2015)
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Zhang, L.; Wang, S.; Liu, B.: Deep learning for sentiment analysis : a survey (2018)
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Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015)
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- Date
- 22. 2.2017 12:51:57
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Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011)
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- Content
- Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
- Date
- 22. 2.2017 13:00:42
-
Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014)
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-
Reyzin, L.: Unprovability comes to machine learning (2019)
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-
Liu, P.J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; Shazeer, N.: Generating Wikipedia by summarizing long sequences (2018)
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Bawden, D.; Robinson, L.: Information and the gaining of understanding (2015)
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Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012)
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- Abstract
- This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
-
Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013)
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- Date
- 17.12.2013 11:02:22
-
Hyning, V. Van; Lintott, C.; Blickhan, S.; Trouille, L.: Transforming libraries and archives through crowdsourcing (2017)
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Karpathy, A.; Fei-Fei, L.: Deep visual-semantic alignments for generating image descriptions (2015)
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Gnoli, C.; Pusterla, L.; Bendiscioli, A.; Recinella, C.: Classification for collections mapping and query expansion (2016)
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Maaten, L. van den; Hinton, G.: Visualizing non-metric similarities in multiple maps (2012)
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Klic, L.; Miller, M.; Nelson, J.K.; Pattuelli, C.; Provo, A.: ¬The drawings of the Florentine painters : from print catalog to linked open data (2017)
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Klic, L.; Miller, M.; Nelson, J.K.; Germann, J.E.: Approaching the largest 'API' : extracting information from the Internet with Python (2018)
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Suranofsky, M.; McColl, L.: a Google sheets add-on that uses the WorldCat search API : MatchMarc (2019)
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