Bibliographies thématiques / Formal ontologies

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Littérature scientifique sur le sujet « Formal ontologies »

Auteur : Grafiati
Publié le 10 mars 2023
Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Formal ontologies"

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Sanfilippo, Emilio M., Yoshinobu Kitamura, and Robert I. M. Young. "Formal ontologies in manufacturing." Applied Ontology 14, no. 2 (2019): 119–25. http://dx.doi.org/10.3233/ao-190209.

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Lumb, L. I., J. R. Freemantle, J. I. Lederman, and K. D. Aldridge. "Annotation modeling with formal ontologies: Implications for informal ontologies." Computers & Geosciences 35, no. 4 (2009): 855–61. http://dx.doi.org/10.1016/j.cageo.2008.03.009.

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Ferrario, Roberta, and Laurent Prévot. "Formal ontologies for communicating agents." Applied Ontology: An Interdisciplinary Journal of Ontological Analysis and Conceptual Modeling 2, no. 3-4 (2007): 209–16. https://doi.org/10.3233/apo-2007-042.

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Sanfilippo, Emilio, and Walter Terkaj. "Editorial: Formal Ontologies meet Industry." Procedia Manufacturing 28 (2019): 174–76. http://dx.doi.org/10.1016/j.promfg.2018.12.028.

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Abrusci, V. Michele, Christophe Fouqueré, and Marco Romano. "Formal Ontologies and Coherent Spaces." Journal of Applied Logic 12, no. 1 (2014): 67–74. http://dx.doi.org/10.1016/j.jal.2013.07.003.

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Müller, R., O. Mailahn, and R. Peifer. "Tool: Eine Sprachdomäne für die Montageplanung*/A domain specific language for assembly planning – Software-supported planning of human-robot cooperation based on ontologies." wt Werkstattstechnik online 108, no. 09 (2018): 606–10. http://dx.doi.org/10.37544/1436-4980-2018-09-42.

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Die Planung von Montagesystemen wird durch die Einführung von cyber-physischen Modulen und neuen Formen der Zusammenarbeit von Mensch und Roboter zunehmend komplexer. Ontologien können Planungswissen bezüglich Beziehungen und Restriktionen formal abbilden. Mit der hier beschriebenen Sprachdomäne werden Ontologien für Montageplaner zugänglich und anwendbar. Die Planung kann auf diese Weise beschleunigt und flexibilisiert werden.   The planning of assembly systems is becoming increasingly complex with the introduction of cyber-physical modules and new forms of human-robot cooperation. O
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Lukashevich, N. V. "Concepts in formal and linguistic ontologies." Automatic Documentation and Mathematical Linguistics 45, no. 4 (2011): 155–62. http://dx.doi.org/10.3103/s0005105511040030.

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Shaked, Avi, and Oded Margalit. "Sustainable Risk Identification Using Formal Ontologies." Algorithms 15, no. 9 (2022): 316. http://dx.doi.org/10.3390/a15090316.

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The cyber threat landscape is highly dynamic, posing a significant risk to the operations of systems and organisations. An organisation should, therefore, continuously monitor for new threats and properly contextualise them to identify and manage the resulting risks. Risk identification is typically performed manually, relying on the integration of information from various systems as well as subject matter expert knowledge. This manual risk identification hinders the systematic consideration of new, emerging threats. This paper describes a novel method to promote automated cyber risk identific
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Jongeling, T. B., and P. P. Kirschenmann. "FORMAL AND HYPOTHETICAL OR HEURISTIC ONTOLOGIES." Grazer Philosophische studien 29, no. 1 (1987): 217–23. http://dx.doi.org/10.1163/18756735-90000322.

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Brucker, Achim D., Idir Ait-Sadoune, Nicolas Méric, and Burkhart Wolff. "Parametric ontologies in formal software engineering." Science of Computer Programming 241 (April 2025): 103231. http://dx.doi.org/10.1016/j.scico.2024.103231.

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Thèses sur le sujet "Formal ontologies"

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Lieto, Antonio. "Non classical concept representation and reasoning in formal ontologies." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/346.

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2010 - 2011<br>Formal ontologies are nowadays widely considered a standard tool for knowledge representation and reasoning in the Semantic Web. In this context, they are expected to play an important role in helping automated processes to access information. Namely: they are expected to provide a formal structure able to explicate the relationships between different concepts/terms, thus allowing intelligent agents to interpret, correctly, the semantics of the web resources improving the performances of the search technologies. Here we take into account a problem regarding Knowledge Repre
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Linck, Ricardo Ramos. "Conceptual modeling of formal and material relations applied to ontologies." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/108626.

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Ontologias representam uma conceitualização compartilhada de uma comunidade de conhecimento. São construídas a partir da descrição dos significados dos conceitos, descritos através de seus atributos e dos relacionamentos entre os conceitos. Conceitos se referem ao objeto da conceitualização, o universo do discurso. São caracterizados por seus atributos e domínios de valores possíveis. Relacionamentos são utilizados para descreverem de que forma os conceitos se estruturam no mundo. Nas ontologias todos os conceitos são hierarquicamente definidos, porém existem outros relacionamentos que são def
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Venugopal, Manu. "Formal specification of industry foundation class concepts using engineering ontologies." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42868.

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Architecture, Engineering, Construction (AEC) and Facilities Management (FM) involve domains that require a very diverse set of information and model exchanges to fully realize the potential of Building Information Modeling (BIM). Industry Foundation Classes (IFC) provides a neutral and open schema for interoperability. Model View Definitions (MVD) provide a common subset for specifying the exchanges using IFC, but are expensive to build, test and maintain. A semantic analysis of IFC data schema illustrates the complexities of embedding semantics in model views. A software engineering methodol
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Hacid, Kahina. "Handling domain knowledge in system design models. An ontology based approach." Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/20157/7/HACID_kahina.pdf.

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Complex systems models are designed in heterogeneous domains and this heterogeneity is rarely considered explicitly when describing and validating processes. Moreover, these systems usually involve several domain experts and several design models corresponding to different analyses (views) of the same system. However, no explicit information regarding the characteristics neither of the domain nor of the performed system analyses is given. In our thesis, we propose a general framework offering first, the formalization of domain knowledge using ontologies and second, the capability to strengthen
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Leshi, Olumide. "An Approach to Extending Ontologies in the Nanomaterials Domain." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170255.

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As recently as the last decade or two, data-driven science workflows have become increasingly popular and semantic technology has been relied on to help align often parallel research efforts in the different domains and foster interoperability and data sharing. However, a key challenge is the size of the data and the pace at which it is being generated, so much that manual procedures lag behind. Thus, eliciting automation of most workflows. In this study, the effort is to continue investigating ways by which some tasks performed by experts in the nanotechnology domain, specifically in ontology
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Hassan, Mohsen. "Knowledge Discovery Considering Domain Literature and Ontologies : Application to Rare Diseases." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0092/document.

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De par leur grand nombre et leur sévérité, les maladies rares (MR) constituent un enjeu de santé majeur. Des bases de données de référence, comme Orphanet et Orphadata, répertorient les informations disponibles à propos de ces maladies. Cependant, il est difficile pour ces bases de données de proposer un contenu complet et à jour par rapport à ce qui est disponible dans la littérature. En effet, des millions de publications scientifiques sur ces maladies sont disponibles et leur nombre augmente de façon continue. Par conséquent, il serait très fastidieux d’extraire manuellement et de façon exh
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Hassan, Mohsen. "Knowledge Discovery Considering Domain Literature and Ontologies : Application to Rare Diseases." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0092.

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De par leur grand nombre et leur sévérité, les maladies rares (MR) constituent un enjeu de santé majeur. Des bases de données de référence, comme Orphanet et Orphadata, répertorient les informations disponibles à propos de ces maladies. Cependant, il est difficile pour ces bases de données de proposer un contenu complet et à jour par rapport à ce qui est disponible dans la littérature. En effet, des millions de publications scientifiques sur ces maladies sont disponibles et leur nombre augmente de façon continue. Par conséquent, il serait très fastidieux d’extraire manuellement et de façon exh
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Kriegel, Francesco [Verfasser], Franz [Akademischer Betreuer] Baader, Franz [Gutachter] Baader, and Sergei O. [Gutachter] Kuznetsov. "Constructing and Extending Description Logic Ontologies using Methods of Formal Concept Analysis / Francesco Kriegel ; Gutachter: Franz Baader, Sergei O. Kuznetsov ; Betreuer: Franz Baader." Dresden : Technische Universität Dresden, 2019. http://d-nb.info/1226942601/34.

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Tsatsaronis, George, Yue Ma, Alina Petrova, et al. "Formalizing biomedical concepts from textual definitions." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-192186.

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Background Ontologies play a major role in life sciences, enabling a number of applications, from new data integration to knowledge verification. SNOMED CT is a large medical ontology that is formally defined so that it ensures global consistency and support of complex reasoning tasks. Most biomedical ontologies and taxonomies on the other hand define concepts only textually, without the use of logic. Here, we investigate how to automatically generate formal concept definitions from textual ones. We develop a method that uses machine learning in combination with several types of lexical and se
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Petrova, Alina, Yue Ma, George Tsatsaronis, et al. "Formalizing biomedical concepts from textual definitions." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-191181.

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BACKGROUND: Ontologies play a major role in life sciences, enabling a number of applications, from new data integration to knowledge verification. SNOMED CT is a large medical ontology that is formally defined so that it ensures global consistency and support of complex reasoning tasks. Most biomedical ontologies and taxonomies on the other hand define concepts only textually, without the use of logic. Here, we investigate how to automatically generate formal concept definitions from textual ones. We develop a method that uses machine learning in combination with several types of lexical and s
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Livres sur le sujet "Formal ontologies"

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Cuel, Roberta, and Robert Young, eds. Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7.

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International Workshop on Formal Ontologies Meet Industry (4th 2009 Vicenza, Italy). Formal ontologies meet industry. IOS Press, 2009.

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Stefano, Borgo, Lesmo Leonardo, and International Workshop on Formal Ontologies Meet Industry (3rd : 2008 : Turin, Italy), eds. Formal ontologies meet industry. IOS Press, 2008.

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Zhang, Guo-Qiang, Rashmie Abeysinghe, and Licong Cui. Formal Methods for the Analysis of Biomedical Ontologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12131-9.

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Simões, Maria da Graça. Da abstração à complexidade formal: Relações conceptuais num tesauro. Almedina, 2008.

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Netherlands) International Workshop on Formal Ontologies Meet Industry (5th 2011 Delft. Formal ontologies meet industry: Proceedings of the fifth international workshop (FOMI 2011). IOS Press, 2011.

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Austria) FOIS (Conference) (7th 2012 Graz. Formal ontology in information systems: Proceedings of the seventh International Conference (FOIS 2012). IOS Press, 2012.

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Ching-man, Au Yeung, and Leung Ho-Fung, eds. Fuzzy computational ontologies in contexts: Formal models of knowledge representation with membership degree and typicality of objects, and their applications. Higher Education Press, 2012.

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Poli, Roberto. Ontologia formale. Marietti, 1992.

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Chris, Welty, Smith Barry 1952-, SIGART, and Association for Computing Machinery, eds. Formal ontology in information systems: Collected papers from the second International Conference, October 17th-19th, 2001, the Cliff House, Ogunquit, Maine, USA. Association for Computing Machinery, 2001.

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Chapitres de livres sur le sujet "Formal ontologies"

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Stumme, Gerd. "Formal Concept Analysis." In Handbook on Ontologies. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92673-3_8.

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Wyssusek, Boris. "Can Ontology Inform Ontologies?" In Formal Concept Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01815-2_7.

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Frixione, Marcello, and Antonio Lieto. "Formal Ontologies, Exemplars, Prototypes." In Advances in Conceptual Modeling. Recent Developments and New Directions. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24574-9_27.

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Paschke, Adrian, Tara Athan, Davide Sottara, Elisa Kendall, and Roy Bell. "A Representational Analysis of the API4KP Metamodel." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_1.

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Palmer, Claire, Esmond Neil Urwin, Ester Palacios Rodríguez, et al. "An Ontology for Global Production Network Design and Reconfiguration." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_10.

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El Kadiri, Soumaya, Walter Terkaj, Esmond Neil Urwin, Claire Palmer, Dimitris Kiritsis, and Robert Young. "Ontology in Engineering Applications." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_11.

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Lewańska, Elżbieta, and Monika Kaczmarek. "Ontologies for Business Networks Identification." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_2.

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Chui, Carmen, Michael Grüninger, and Mark van Berkel. "Ontology Mapping in an e-Commerce Application." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_3.

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Kaczmarek, Monika. "Ontologies in the Realm of Enterprise Modeling – A Reality Check." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_4.

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Pittet, Perrine, and Jérôme Barthélémy. "Experience of Formal Application Ontology Development to Enhance User Understanding in a Geo Business Intelligence SaaS Platform." In Formal Ontologies Meet Industry. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21545-7_5.

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Actes de conférences sur le sujet "Formal ontologies"

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Ondo, Anicet, Laurence Capus, and Mamadou Bousso. "Optimization of Methods for Querying Formal Ontologies in Natural Language Using a Neural Network." In 16th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012892600003838.

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Yu, Sun, Xia Youming, and Zhiping Li. "Formal contexts in ontologies." In Education (ICCSE 2011). IEEE, 2011. http://dx.doi.org/10.1109/iccse.2011.6028620.

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Cristani, Marco, and Roberta Ferrario. "Statistical Pattern Recognition Meets Formal Ontologies." In the 2014 Workshop. ACM Press, 2014. http://dx.doi.org/10.1145/2666253.2666254.

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Frixione, Marcello, and Antonio Lieto. "Representing and reasoning on typicality in formal ontologies." In the 7th International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2063518.2063534.

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Poernomo, Iman, Timur Umarov, and Fuad Hajiyev. "Formal ontologies for data-centric business process management." In 2011 5th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2011. http://dx.doi.org/10.1109/icaict.2011.6110897.

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Cross, Valerie V., and Wenting Yi. "Formal concept analysis for ontologies and their annotation files." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630646.

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Chebieb, Abdelkrim, and Yamine Ait-Ameur. "Formal Verification of Plastic User Interfaces Exploiting Domain Ontologies." In 2015 9th International Symposium on Theoretical Aspects of Software Engineering (TASE). IEEE, 2015. http://dx.doi.org/10.1109/tase.2015.25.

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Scafoglieri, Federico Maria, and Domenico Lembo. "A Formal Framework for Coupling Document Spanners with Ontologies." In 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, 2019. http://dx.doi.org/10.1109/aike.2019.00036.

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"THE COMPUTATIONAL REPRESENTATION OF CONCEPTS IN FORMAL ONTOLOGIES - Some General Considerations." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003095903960403.

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Rodríguez, Jose María Alvarez, Valentín Moreno, and Juan Llorens. "Formal ontologies and data shapes within the Software Engineering development lifecycle." In The 31st International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. http://dx.doi.org/10.18293/seke2019-114.

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Rapports d'organisations sur le sujet "Formal ontologies"

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Kriegel, Francesco. Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis. Technische Universität Dresden, 2023. http://dx.doi.org/10.25368/2023.214.

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We present an FCA-based axiomatization method that produces a complete EL TBox (the terminological part of an OWL 2 EL ontology) from a graph dataset in at most exponential time. We describe technical details that allow for efficient implementation as well as variations that dispense with the computation of extremely large axioms, thereby rendering the approach applicable albeit some completeness is lost. Moreover, we evaluate the prototype on real-world datasets.
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Thost, Veronika, Jan Holste, and Özgür Özçep. On Implementing Temporal Query Answering in DL-Lite. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.218.

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Ontology-based data access augments classical query answering over fact bases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We implemented temporal query answering w.r.t. ontologies formulated in the Description Logic DL-Lite. Focusing on temporal conjunctive queries (TCQs), which combine conjunctive queries via the operators of propositional linear temporal logic, we regard three approaches for answering them: an iterative algorithm that considers all data available; a window-based algorithm; and a rewriting approach, which translates the TCQ
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