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1
Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment
In: Applied Sciences; Volume 12; Issue 9; Pages: 4670 (2022)
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2
Using Peircean Semiotics as the Grounding of Cognition
In: Proceedings; Volume 81; Issue 1; Pages: 135 (2022)
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3
Formalization of AMR Inference via Hybrid Logic Tableaux ...
Goldner, Eli Tecumseh. - : Brandeis University, 2022
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4
Ranking Semantics for Argumentation Systems With Necessities
In: IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03002056 ; IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence, Jan 2021, Yokohama / Virtual, Japan. pp.1912-1918, ⟨10.24963/ijcai.2020/265⟩ (2021)
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5
The contribution of visual articulatory gestures and orthography to speech processing: Evidence from novel word learning
In: ISSN: 0278-7393 ; EISSN: 1939-1285 ; Journal of Experimental Psychology: Learning, Memory, and Cognition ; https://hal.archives-ouvertes.fr/hal-03189083 ; Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association, In press, ⟨10.1037/xlm0001036⟩ (2021)
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6
Managing interpersonal discourse expectations: a comparative analysis of contrastive discourse particles in Dutch
In: Linguistics. - Berlin [u.a.] : Mouton de Gruyter 59 (2021) 2, 333-360
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7
SANKAT PRADATA AUR JANATA. ...
Tomar, Neetusingh. - : figshare, 2021
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8
SANKAT PRADATA AUR JANATA. ...
Tomar, Neetusingh. - : figshare, 2021
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9
APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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10
Essential Features in a Theory of Context for Enabling Artificial General Intelligence
In: Applied Sciences; Volume 11; Issue 24; Pages: 11991 (2021)
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11
Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval ...
Samagaio, Álvaro Mendes; Lopes Cardoso, Henrique; Ribeiro, David. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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12
The JeuxDeMots Project (Invited Talk) ...
Lafourcade, Mathieu. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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13
An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology ...
Chiarcos, Christian; Ionov, Maxim; Glaser, Luis. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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14
Semantic Description of Plant Phenological Development Stages, starting with Grapevine
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)
Abstract: The final authenticated version is available online at https://doi.org/10.1007/978-3-030-71903-6_25 ; International audience ; The French project Data to Knowledge in Agronomy and Biodiversity (D2KAB) will make available a semantically-enabled Frenchagricultural alert newsletter. In order to describe/annotate crop phenological development stages in the newsletters, we need a specific semanticresource to semantically represent each stages. Several scales already exist to describe plant phenological development stages. BBCH, considereda reference, offers several sets of stages –one per crop called ’individual scales’– and a general one. The French Wine and Vine Institute (IFV)has aligned several existing scales in order to identify the most useful grapevine development stages for agricultural practices. Unfortunatelythese scales are not available in a semantic form preventing their use in agricultural semantic applications. In this paper, we present our work ofcreating an ontological framework for semantic description of plant development stages and transforming specific scales into RDF vocabularies;we introduce the BBCH-based Plant Phenological Description Ontology and we illustrate this framework with four scales related to grapevine.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-WB]Computer Science [cs]/Web; [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.4: Knowledge Representation Formalisms and Methods/I.2.4.6: Semantic networks; agricultural semantics; grapevine; Phenological stages; phenology; RDF vocabularies; Semantic description; Semantics resources
URL: https://doi.org/10.1007/978-3-030-71903-6_25
https://hal.archives-ouvertes.fr/hal-02996846/document
https://hal.archives-ouvertes.fr/hal-02996846/file/12_ROUSSEY_MTSR2020.pdf
https://hal.archives-ouvertes.fr/hal-02996846
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15
Strengths of Fuzzy Techniques in Data Science
In: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications ; https://hal.sorbonne-universite.fr/hal-01676195 ; Kosheleva, O.; Shary, S.P.; Xiang, G.; Zapatrin, R. Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications, 835, Springer, pp.111-119, 2020, Studies in Computational Intelligence, 978-3-030-31041-7. ⟨10.1007/978-3-030-31041-7_6⟩ (2020)
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16
Reasoning with Ontologies
In: A Guided Tour of Artificial Intelligence Research ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-02922020 ; A Guided Tour of Artificial Intelligence Research, pp.185-215, 2020, Volume I: Knowledge Representation, Reasoning and Learning, 978-3-030-06163-0. ⟨10.1007/978-3-030-06164-7_6⟩ (2020)
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17
Semantic hypergraph corpus SemCRO 1.0
Vasić, Daniel; Žitko, Branko; Gašpar, Angelina. - : University of Mostar, 2020. : University of Split, 2020. : Jožef Stefan Institute, 2020
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18
Defying Wikidata: Validation of terminological relations in the web of data
Martín-Chozas, Patricia; Montiel-Ponsoda, Elena; Ahmadi, Sina. - : National University of Ireland Galway, 2020
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19
Opinion Mining in Higher Education: A Corpus-Based Approach (Supplementary material) ...
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20
Parsing Science - Picking Apart Conspiracy Theories ...
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