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Key Discovery for Numerical Data: Application to Oenological Practices
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Symeonidou, Danai; Sanchez, Isabelle; Croitoru, Madalina; Neveu, Pascal; Pernelle, Nathalie; Saïs, Fatiha; Roland-Vialaret, Aurelie; Buche, Patrice; Muljarto, Aunur Rofiq; Schneider, Remi
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In: 22th International Conference on Graph-Based Representation and Reasoning ; ICCS: International Conference on Conceptual Structures ; https://hal.archives-ouvertes.fr/hal-01837440 ; ICCS: International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.222-236, ⟨10.1007/978-3-319-40985-6_17⟩ ; https://www.irit.fr/ICCS2016/ (2016)
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Abstract:
International audience ; The key discovery problem has been recently investigated for symbolical RDF data and tested on large datasets such as DBpedia and YAGO. The advantage of such methods is that they allow the automatic extraction of combinations of properties that uniquely identify every resource in a dataset (i.e., ontological rules). However, none of the existing approaches is able to treat real world numerical data. In this paper we propose a novel approach that allows to handle numerical RDF datasets for key discovery. We test the significance of our approach on the context of an oenological application and consider a wine dataset that represents the different chemical based flavourings. Discovering keys in this context contributes in the investigation of complementary flavors that allow to distinguish various wine sorts amongst themselves.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; analyse lexicale; arôme; extraction terminologique; lexical analysis; ontologie; ontology; pratique oenologique
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URL: https://doi.org/10.1007/978-3-319-40985-6_17
https://hal.archives-ouvertes.fr/hal-01837440
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KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language
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In: Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference ; https://hal.inria.fr/hal-01389390 ; Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, The Hague, Netherlands (2016)
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Evaluating Lexical Similarity to build Sentiment Similarity
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In: Proceedings of the Language and Resource Conference, LREC ; Language and Resource Conference, LREC ; https://hal.archives-ouvertes.fr/hal-01394768 ; Language and Resource Conference, LREC, May 2016, portoroz, Slovenia (2016)
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Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output
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In: Kummerfeld, Jonathan Kay. (2016). Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output. UC Berkeley: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/242120m5 (2016)
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| 6 |
Biomedical term extraction: overview and a new methodology
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In: ISSN: 1386-4564 ; EISSN: 1573-7659 ; Information Retrieval Journal ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539 ; Information Retrieval Journal, Springer, 2016, Medical Information Retrieval, 19 (1), pp.59-99. ⟨10.1007/s10791-015-9262-2⟩ (2016)
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Comparative Studies on Using Semantic Filtering for Open Relation Identification
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In: Meeting Security Challenges Through Data Analytics and Decision Support ; https://hal.archives-ouvertes.fr/hal-01845217 ; Meeting Security Challenges Through Data Analytics and Decision Support, 47, pp.69-77, 2016, ⟨10.3233/978-1-61499-716-0-69⟩ (2016)
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A Pragma-Semantic Analysis of the Emotion/Sentiment Relation in Debates
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In: 4th International Workshop on Artificial Intelligence and Cognition ; https://hal.inria.fr/hal-01342438 ; 4th International Workshop on Artificial Intelligence and Cognition, Jul 2016, New York, United States (2016)
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Graph-FCA in Practice
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In: International Conference on Conceptual Structures (ICCS) ; https://hal.inria.fr/hal-01405491 ; International Conference on Conceptual Structures (ICCS), Jul 2016, Annecy, France. pp.107 - 121, ⟨10.1007/978-3-319-40985-6_9⟩ (2016)
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Proceedings of the 7th Workshop on Computational Models of Narrative
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In: 7th Workshop on Computational Models of Narrative (CMN 2016) ; https://hal.inria.fr/hal-01427217 ; 7th Workshop on Computational Models of Narrative (CMN 2016), Jul 2016, Cracovie, Poland. 53, 2016, OASICS, 978-3-95977-020-0 ; http://drops.dagstuhl.de/portals/oasics/index.php?semnr=16021 (2016)
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| 11 |
La subjectivité artificielle. Ébauche d'un programme de recherche
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In: https://hal.archives-ouvertes.fr/hal-01137849 ; 2016 (2016)
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| 13 |
Visual Analysis of Text Annotations for Stance Classification with ALVA ...
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| 14 |
Applications of text analytics in the intelligence community
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| 15 |
Shades of gray: releasing the cognitive binds that blind us
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| 16 |
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
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Applications of Text Analytics in the Intelligence Community
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Assessing the Value of Structured Analytic Techniques in the U.S. Intelligence Community
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| 20 |
The Importance of Why: An Intelligence Approach for a Multi-Polar World
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