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Formalizing Problem Solving in Computational Thinking : an Ontology approach
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In: IEEE ICDL 2021 – International Conference on Development and Learning 2021 ; https://hal.inria.fr/hal-03324136 ; IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China (2021)
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A logical model for the ontology alignment repair game
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In: ISSN: 1387-2532 ; EISSN: 1573-7454 ; Autonomous Agents and Multi-Agent Systems ; https://hal.archives-ouvertes.fr/hal-03426142 ; Autonomous Agents and Multi-Agent Systems, Springer Verlag, 2021, 35 (2), pp.1-32. ⟨10.1007/s10458-021-09508-8⟩ (2021)
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
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In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
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In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
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In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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From the Formal Definition of Concept to the Linguistic Definition of Term ; De la définition formelle du concept à la définition en langue du terme
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In: ISSN: 2299-7164 ; EISSN: 2353-3218 ; Academic Journal of Modern Philology ; https://hal.archives-ouvertes.fr/hal-03549751 ; Academic Journal of Modern Philology, Uniwersytet Wroctawski, 2021, ⟨10.34616/ajmp.2021.13⟩ (2021)
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State of the art on the alignment of ontologies ; Etat de l'art sur l'alignement des ontologies
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In: ISSN: 1638-5713 ; Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées ; https://hal.inria.fr/hal-03330388 ; 2021 (2021)
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Towards an ontological approach for the management of agroforestry databases ; Vers une démarche ontologique pour la gestion des bases de données en agroforesterie
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In: https://hal.inrae.fr/tel-03519007 ; Sylviculture, foresterie. Université Montpellier, 2021. Français. ⟨NNT : 2021MONTS117⟩ (2021)
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Conceptual issues for the development of an ontological model : the case of the mining domain ; Enjeux conceptuels pour l'élaboration d'un modèle ontologique : le cas du domaine minier
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In: https://hal.archives-ouvertes.fr/tel-03501375 ; Sciences de l'information et de la communication. Université de Lille, 2021. Français (2021)
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Knowledge engineering in the sourcing domain for the recommendation of providers ; Ingénierie des connaissances dans le domaine du sourcing pour la recommandation de prestataires
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In: https://tel.archives-ouvertes.fr/tel-03336353 ; Information Retrieval [cs.IR]. Université Côte d'Azur, 2021. English. ⟨NNT : 2021COAZ4024⟩ (2021)
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Abstract:
This CIFRE doctoral thesis is part of a collaborative research project between the I3S laboratory of the University of Côte d'Azur and the Silex company, and addresses the field of recommendation systems. Silex is a start-up that develops a Software-as-a-Service sourcing tool that allows companies to provide a description of their professional activities, their offers and/or the services they are looking for in natural language (currently French).In this context, the objective of this thesis is to propose a decision support system by exploiting the semantic knowledge that are extracted from the textual descriptions of requests for services and providers, in order to recommend relevant providers for a service request.The contributions of this thesis are the following. First, we proposed a vocabulary for the sourcing field by reusing and integrating existing vocabularies, in order to semantically annotate the textual descriptions of providers and requests for services. Second, we proposed an automatic alignment method to establish the correspondence between different concepts of the considered vocabularies. This approach is based on rules exploiting embedding space and measurements on groups of labels to discover the relationships between concepts. Third, we proposed an algorithm for extracting named entities from the textual descriptions of service requests and providers, and an algorithm for semantic annotation of these descriptions, based on the linking of the extracted entities with the concepts of the defined vocabulary.Fourth, we proposed a provider recommendation algorithm that exploits these knowledges extracted.Finally, we studied the contribution of using ontological knowledge to improve our decision support system for the sourcing domain in order to recommend relevant providers for a service request.The contributions of this thesis are the following. First, we proposed a vocabulary for the sourcing field in order to semantically annotate the textual descriptions of providers and requests for services. This vocabulary was built by reusing and integrating existing vocabularies. Second, we proposed an automatic alignment method to establish the correspondence between different concepts of the considered vocabularies. This approach is based on rules exploiting embedding space and measurements on groups of labels to discover the relationships between concepts. Third, we proposed an algorithm for extracting named entities from the textual descriptions of service requests and providers, and an algorithm for semantic annotation of these descriptions, based on the linking of the extracted entities with the concepts of the defined vocabulary.Fourth, we proposed a provider recommendation algorithm that exploits these knowledge extracted.Finally, we studied the contribution of using ontological knowledge to improve our decision support system for the sourcing domain. ; Cette thèse de doctorat CIFRE s'inscrit dans le cadre d'un projet de recherche collaboratif entre le laboratoire I3S de l'Université Côte d'Azur et la société Silex et aborde le domaine des systèmes de recommandation. Silex est une start-up qui développe un outil de sourcing Software-as-a-Service permettant aux entreprises de fournir une description de leurs activités professionnelles, de leurs offres et/ou des services qu'elles recherchent en langue naturelle (actuellement le français).Dans ce contexte, l'objectif de cette thèse est de proposer un système d'aide à la décision en exploitant les connaissances sémantiques extraites à partir des descriptions textuelles des demandes de prestation et des prestataires, afin de recommander des prestataires pertinents pour une demande de prestation.Les contributions de cette thèse sont les suivantes. Premièrement, nous avons proposé un vocabulaire pour le domaine du sourcing en réutilisant et en intégrant des vocabulaires existants, afin d'annoter sémantiquement les descriptions textuelles des prestataires et des demandes de prestation. Deuxièmement, nous avons proposé une méthode d’alignement automatique afin d'établir la correspondance entre différents concepts des vocabulaires considérés. Cette approche se base sur des règles exploitant l'espace des plongements lexicaux et des mesures sur des groupes d'étiquettes pour découvrir les relations entre concepts. Troisièmement, nous avons proposé un algorithme d'extraction des entités nommées à partir des descriptions textuelles des demandes de prestation et des prestataires et un algorithme d'annotation sémantique de ces descriptions, basé sur le liage des entités extraites avec les concepts du vocabulaire défini.Quatrièmement, nous avons proposé un algorithme de recommandation de prestataires qui exploite ces annotations sémantiques.Finalement, nous avons étudié l'apport de l'utilisation de connaissances ontologiques afin d'améliorer notre système d'aide à décision pour le domaine du sourcing.
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Keyword:
[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; Alignement d'ontologies; Ontologie; Ontology; Ontology alignment; Recommender system; Sourcing; Sourcing domain; Système de recommandation
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URL: https://tel.archives-ouvertes.fr/tel-03336353/document https://tel.archives-ouvertes.fr/tel-03336353 https://tel.archives-ouvertes.fr/tel-03336353/file/2021COAZ4024.pdf
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31 |
Settling the World ; Settling the World: From Prehistory to the Metropolis Era
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Sanders, Lena. - : HAL CCSD, 2021. : Presses universitaires François-Rabelais, 2021
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In: https://hal-univ-fcomte.archives-ouvertes.fr/hal-03429495 ; Presses universitaires François-Rabelais, 2021 ; https://books.openedition.org/pufr/19610 (2021)
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Personality Ontology Corpus for Indonesian Social Media Text ...
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Personality Ontology Corpus for Indonesian Social Media Text ...
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ОНТОЛОГИЯ СЛОВА КАК КРИТИЧЕСКИЙ ПРИНЦИП ЛОГИКИ КУЛЬТУРЫ ... : ONTOLOGY OF THE WORD AS A CRITICAL PRINCIPLE OF THE LOGIC OF CULTURE ...
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The Light of the Leaf: A Theological Critique of Timothy Morton’s ‘Dark Ecology’ ...
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Haecker, Ryan. - : Apollo - University of Cambridge Repository, 2021
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Anthropology and the politics of alterity: A Latin American dialectic and its relevance for ontological anthropologies ...
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Lazar, Sian. - : Apollo - University of Cambridge Repository, 2021
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ВЗАИМОСВЯЗЬ ФИЛОСОФИИ, ФИЛОЛОГИИ И ЛИНГВИСТИКИ В СТРУКТУРИРОВАНИИ БЫТИЯ ЧЕЛОВЕКА ... : THE RELATIONSHIP OF PHILOSOPHY, PHILOLOGY AND LINGUISTICS INTHESTRUCTURINGOFHUMANEXISTENCE ...
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Старцева Ксенья Ильинична. - : Вестник Пермского государственного гуманитарно-педагогического университета. Серия № 3. Гуманитарные и общественные науки, 2021
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Zur Darstellung eines mehrstufigen Prototypbegriffs in der multilingualen automatischen Sprachgenerierung: vom Korpus über word embeddings bis hin zum automatischen Wörterbuch
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In: Lexikos; Vol. 31 (2021); 20-50 ; 2224-0039 (2021)
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Slovene ontology of semantic types for nouns SLONEST-noun 1.0
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D3.4 Multilingual ontologies for Occupation, Industry, Regions and cities, Food items, and Religion, with use case ...
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