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Semantic Description of Plant Phenological Development Stages, starting with Grapevine
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In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; Communications in Computer and Information Science (CCIS) ; 14th international conference on Metadata and Semantics Research Conference (MTSR) ; https://hal.archives-ouvertes.fr/hal-02996846 ; 14th international conference on Metadata and Semantics Research Conference (MTSR), Dec 2020, Madrid, Spain. pp.257-268, ⟨10.1007/978-3-030-71903-6_25⟩ ; http://www.mtsr-conf.org/home (2020)
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Cheap talk with coarse understanding
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In: ISSN: 0899-8256 ; EISSN: 1090-2473 ; Games and Economic Behavior ; https://halshs.archives-ouvertes.fr/halshs-02972755 ; Games and Economic Behavior, Elsevier, 2020, 124, pp.105-121. ⟨10.1016/j.geb.2020.07.015⟩ (2020)
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Nonverbal content and swift trust: An experiment on digital communication
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In: https://halshs.archives-ouvertes.fr/halshs-02483343 ; 2020 (2020)
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The Power of Wild Plants in Feeding Humanity: A Meta-Analytic Ethnobotanical Approach in the Catalan Linguistic Area
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The Power of Wild Plants in Feeding Humanity: A Meta-Analytic Ethnobotanical Approach in the Catalan Linguistic Area
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Particularism and universalism in the work of Reinhart Koselleck and Quentin Skinner: A descriptive and normative approach
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Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration
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In: ISSN: 0948-695X ; EISSN: 0948-6968 ; Journal of Universal Computer Science ; https://hal.archives-ouvertes.fr/hal-02940706 ; Journal of Universal Computer Science, Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2020, 26 (3), pp.318-342 (2020)
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| 11 |
An incomplete knowledge compilation map for conditional preference statements-based languages
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In: Journées d'Intelligence Artificielle Fondamentale 2020 ; https://hal.archives-ouvertes.fr/hal-02943925 ; Journées d'Intelligence Artificielle Fondamentale 2020, AFIA : Association Française pour l'Intelligence Artificielle, Jul 2020, Angers, France. pp.1-10 ; pfia2020.fr/jiaf-2020/ (2020)
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CORLI: The French Knowledge-Centre
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In: CLARIN Annual Conference 2020 ; https://hal.archives-ouvertes.fr/hal-03091629 ; CLARIN Annual Conference 2020, Oct 2020, Barcelone (virtual ), Spain ; https://www.clarin.eu/event/2020/clarin-annual-conference-2020-virtual-event (2020)
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Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration
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In: Journal of Universal Computer Science ; https://hal.archives-ouvertes.fr/hal-02997329 ; Journal of Universal Computer Science, Springer, 2020, 26 (3), pp.318-342 (2020)
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NutriSem: A Semantics-Driven Approach to Calculating Nutritional Value of Recipes
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In: Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing ; https://hal.archives-ouvertes.fr/hal-03145223 ; Álvaro Rocha; Hojjat Adeli; Luís Paulo Reis; Sandra Costanzo; Irena Orovic; Fernando Moreira. Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, Springer, pp.191-201, 2020, ⟨10.1007/978-3-030-45688-7_20⟩ (2020)
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Science ouverte ; Science ouverte: défis mondiaux pour la science et la société
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In: https://hal.archives-ouvertes.fr/hal-03618200 ; 2020 (2020)
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Comparison of Different Lexical Resources With Respect to the Tip-of-the-Tongue Problem
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In: ISSN: 1598-2327 ; EISSN: 1976-6939 ; Journal of Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03168850 ; Journal of Cognitive Science, Institute for Cognitive Science, Seoul National University, 2020, 21 (2), pp.193-252. ⟨10.17791/jcs.2020.21.2.193⟩ (2020)
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| 17 |
Relational concept analysis: a polyvalent tool for knowledge extraction ; Analyse relationnelle de concepts : une méthode polyvalente pour l'extraction de connaissance
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In: https://hal.archives-ouvertes.fr/tel-03042085 ; Informatique [cs]. Université du Québec à Montréal; Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0136⟩ (2020)
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| 18 |
Une analyse de la régulation des communs scientifiques à partir des conventions et des imaginaires linguistiques
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In: ISSN: 1267-4982 ; EISSN: 1965-0256 ; Innovations - Revue d’économie et de management de l'innovation ; https://halshs.archives-ouvertes.fr/halshs-02902637 ; Innovations - Revue d’économie et de management de l'innovation, De Boeck Supérieur, 2020, La revanche des communs. Science et créativité, pp.39-67. ⟨10.3917/inno.063.0039⟩ ; https://www-cairn-info.lama.univ-amu.fr/revue-innovations-2020-0.htm (2020)
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Prostate-Specimen Antigen (PSA) Screening and Shared Decision Making Among Deaf and Hearing Male Patients.
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In: Journal of cancer education : the official journal of the American Association for Cancer Education, vol 35, iss 1 (2020)
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| 20 |
Transforming the study of organisms: Phenomic data models and knowledge bases.
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Thessen, Anne E; Walls, Ramona L; Vogt, Lars; Singer, Jessica; Warren, Robert; Buttigieg, Pier Luigi; Balhoff, James P; Mungall, Christopher J; McGuinness, Deborah L; Stucky, Brian J; Yoder, Matthew J; Haendel, Melissa A
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In: PLoS computational biology, vol 16, iss 11 (2020)
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Abstract:
The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact because they are not accompanied by computable phenomic data. The majority of phenomic data are contained in countless small, heterogeneous phenotypic data sets that are very difficult or impossible to integrate at scale because of variable formats, lack of digitization, and linguistic problems. One powerful solution is to represent phenotypic data using data models with precise, computable semantics, but adoption of semantic standards for representing phenotypic data has been slow, especially in biodiversity and ecology. Some phenotypic and trait data are available in a semantic language from knowledge bases, but these are often not interoperable. In this review, we will compare and contrast existing ontology and data models, focusing on nonhuman phenotypes and traits. We discuss barriers to integration of phenotypic data and make recommendations for developing an operationally useful, semantically interoperable phenotypic data ecosystem.
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Keyword:
Animals; Bioinformatics; Biological; Biological Sciences; Classification; Computational Biology; Databases; Ecosystem; Gene-Environment Interaction; Genetic; Genetics; Human Genome; Humans; Information and Computing Sciences; Knowledge Bases; Mathematical Sciences; Models; Phenomics; Phenotype; Semantics; Statistical
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URL: https://escholarship.org/uc/item/76j2g4bf
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