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  1. 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) 0.05 
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    Abstract
    On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
    Type
    a
  2. Cronin, B.: Thinking about data (2013) 0.04 
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    Date
    22. 3.2013 16:18:36
    Type
    a
  3. Grudin, J.: Human-computer interaction (2011) 0.04 
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    Date
    27.12.2014 18:54:22
    Type
    a
  4. Sauperl, S.A.: UDC as a standardisation method for providing titles of documents (2015) 0.04 
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    Date
    10.11.2015 10:22:31
    Source
    Classification and authority control: expanding resource discovery: proceedings of the International UDC Seminar 2015, 29-30 October 2015, Lisbon, Portugal. Eds.: Slavic, A. u. M.I. Cordeiro
    Type
    a
  5. Xiao, G.: ¬A knowledge classification model based on the relationship between science and human needs (2013) 0.04 
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    Date
    22. 2.2013 12:36:34
    Type
    a
  6. Castro, A. de: Mental models may fail when faced with self-referential descriptors (2016) 0.04 
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    Date
    22. 1.2016 14:45:01
    Type
    a
  7. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.04 
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    Abstract
    While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.
    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  8. Williamson, N.J.: Classification issues in 2011 : report (2012) 0.04 
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    Date
    22. 1.2012 13:17:00
    Type
    a
  9. Cronin, B.: ¬The writing on the wall (2015) 0.04 
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    Date
    26. 4.2015 19:27:22
    Type
    a
  10. Szostak, R.: Speaking truth to power in classification : response to Fox's review of my work; KO 39:4, 300 (2013) 0.04 
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    Date
    22. 2.2013 12:35:05
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    a
  11. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.04 
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    Date
    18. 3.2014 19:13:22
    Type
    a
  12. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.04 
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    Date
    15. 1.2016 19:22:28
    Type
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  13. Foskett, D.J.: Systems theory and its relevance to documentary classification (2017) 0.04 
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    Date
    6. 5.2017 18:46:22
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  14. Bursa, O. et al.: Enriching preferences using DBpedia and Wordnet (2016) 0.04 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
    Type
    a
  15. Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.03 
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    Abstract
    We present a short survey of the literature on indexing and retrieval of mathematical knowledge, with pointers to 72 papers and tentative taxonomies of both retrieval problems and recurring techniques.
    Date
    22. 2.2017 12:51:57
    Type
    a
  16. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.03 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
    Type
    a
  17. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.03 
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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
  18. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.03 
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    Abstract
    The design and architecture of MIaS (Math Indexer and Searcher), a system for mathematics retrieval is presented, and design decisions are discussed. We argue for an approach based on Presentation MathML using a similarity of math subformulae. The system was implemented as a math-aware search engine based on the state-ofthe-art system Apache Lucene. Scalability issues were checked against more than 400,000 arXiv documents with 158 million mathematical formulae. Almost three billion MathML subformulae were indexed using a Solr-compatible Lucene.
    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
    Type
    a
  19. Paul-Hus, A.; Desrochers, N.; Rijcke, S.de; Rushforth, A.D.: ¬The reward system of science (2017) 0.03 
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    Date
    20. 1.2015 18:30:22
    Type
    a
  20. Calì, A. et al.: Processing keyword queries under access limitations (2016) 0.03 
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    Date
    1. 2.2016 18:25:22
    Type
    a

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