Ontology reasoning

WebOntology Reasoning. Reasoning is the process of deriving facts that are not explicitly expressed in the ontology; Reasoning makes implicit facts explicit; Logical … Web29 de mai. de 2024 · Deep Learning for Ontology Reasoning. In this work, we present a novel approach to ontology reasoning that is based on deep learning rather than logic-based formal reasoning. To this end, we …

Semantic similarity and machine learning with ontologies

WebProtégé Web1 de jan. de 2009 · This paper presents methods that support case retrieval in Case-Based Reasoning system. We used the Ontology to describe the relationship between terms in application fields. cannabis infused cooking oils https://genejorgenson.com

[1705.10342] Deep Learning for Ontology Reasoning - arXiv.org

Web2 de jul. de 2024 · RETRACTED ARTICLE: Fuzzy rule based ontology reasoning. Minu Rajasekaran Indra, Nagarajan Govindan, Ravi Kumar Divakarla Naga Satya &. Sundarsingh Jebaseelan Somasundram David Thanasingh. Journal of Ambient Intelligence and Humanized Computing 12 , 6029–6035 ( 2024) Cite this article. 389 Accesses. Web8 de mai. de 2024 · Ontology-mediated query answering is a vibrant area at the crossroads of several domains, namely data management, knowledge … Web1 de abr. de 2024 · Advanced risk identification techniques have also been proposed in the literature, such as case-based reasoning [2] and rule-based systems [4]. However, existing techniques (e.g., case-based reasoning [2]) can typically only consider higher-level project information and are limited by their inability to consider specific project details and … fix it gw

Ontology Reasoning in the SHOQ D Description Logic

Category:An ontology-based modelling and reasoning framework for …

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Ontology reasoning

Understanding and improving ontology reasoning efficiency …

http://raghavam.github.io/teaching/monsoon2024/ontmodelling/ontology-reasoning.html Web11 de abr. de 2024 · Last updated on Apr 11, 2024. Ontologies are formal representations of concepts and their relationships in a domain of knowledge. They are widely used in Web 2.0 domains, such as social media, e ...

Ontology reasoning

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WebMy research focuses on knowledge engineering and more specifically on causal reasoning. It is a branch of artificial intelligence that uses decidable ontologies to represent human know-how. This is the basis for creating Explicit Artificial Intelligence. In addition, I use this approach by combining it with IoT, BigData and Deep Leaning. I built several Distributed … Web3 de jan. de 2024 · EDAM is an ontology of bioscientific data analysis and data management. EDAM concentrates on topics, operations, types of data, and data formats related to analysis, modelling, optimisation, and data life-cycle in biosciences, and in other research and science-based applications. science data topic topics format ontology data …

WebOntology-Based Security Context Reasoning for Power IoT-Cloud Security Service. Abstract: For a variety of cyber-attacks occurring in a power IoT-Cloud environment, … WebOntology is a feasible way to mine the semantic information from the video stream. However, current ontology-based methods did not concentrate on the effectiveness and soundness of semantic reasoning. Here, the authors propose a content-directed ontology reasoning approach to produce meaningful sports video summarisation.

Web2 de jul. de 2024 · The representation and reasoning power of ontology would be effective with respect to description language. In DL the concepts are interpreted semantically as … Web3 de fev. de 2024 · Reasoning about data given uncertain future conditions is a crucial component of modern decision support systems. While ontologies allow domain-specific data to be represented in knowledge graphs, they generally represent data in an absolute way and do not support reasoning under uncertain conditions. In this paper, we present …

Web24 de ago. de 2024 · In this paper, we employ state-of-the-art methods for training deep neural networks to devise a novel model that is able to learn how to effectively perform logical reasoning in the form of basic ontology reasoning. This is an important and at the same time very natural logical reasoning task, which is why the presented approach is …

Web1 de dez. de 2024 · 16 Rodríguez-García M.Á. Hoehndorf R. Inferring ontology graph structures using OWL reasoning BMC Bioinf. 2024 19 7 10.1186/s12859-017-1999-8 Google Scholar; 17 Fayek, R.E. and Wong, A.K.C., Using hypergraph knowledge representation for natural terrain robot navigation and path planning, ... cannabis infused food restaurant nycWebThe main reasoning task of OWL 2 EL is the classification of large ontologies that can be processed in polynomial time. Other services such as concept satisfiability, instance checking, and knowledge base consistency are reducible to classification. The classification algorithm requires the input ontology to be in special normal form, which can ... cannabis infused hard candyWeb19 de out. de 2024 · Protege: Comprehensive ontology editor and knowledge engineering environment. Computing entailments, reasoning. ELK: Very fast reasoner for the OWL 2 EL profile with polynomial worst-case time complexity. HermiT: Automated reasoner supporting most of OWL axioms with exponential worst-case complexity. cannabis infused hard candy recipe everclearWebAn ontology reasoning process will interpret the domain of “studiesIn ” as the intersection (conjunction) of the two classes “ Person ” and “ Student ”, and the range of “ studiesIn ” … cannabis infused gushersWeb30 de out. de 2024 · Ontology-based Reasoning Approach for Long-term Behavior Prediction of Road Users Abstract: A human driver determines his/her driving action by … fix it hammerWeb17 de mar. de 2004 · Here we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logic-based … cannabis infused donutsWeb1 de mai. de 2024 · They provide ubiquitous remote health services for patients with chronic diseases or specific conditions and can provide ubiquitous communication between patients and caregiver (s). This paper presents an ontology reasoning-based healthcare monitoring system called Do-Care. The proposed system supports the supervision and follow-up of … fix it harrisonburg va