Ontology reasoning

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August undefined, 2024

Web13 de out. de 2024 · Ontology-based similarity measures have been applied to a variety of tasks such as predicting protein–protein interactions , gene–disease … http://protege.stanford.edu/conference/2007/slides/owlTutorial-reasoning_dameron.pdf

Ontology-based Reasoning Approach for Long-term Behavior …

Web8 de out. de 2024 · a Identify if the clinical reasoning ontology discussed is new, existing, or revised; new—if it is a new ontology created by the development team specifically for the CDSS; existing—if the development team used an ontology that is already in existence without altering it; revised—if the development team used an already existing ontology … Webdescriptions of web resources. Reasoning over such descriptions will be essential if web re-sources are to be more accessible to automated pro-cesses. SHOQ(D) is an expressive … plex with onedrive

Ontology Reasoning with Deep Neural Networks - arXiv

Web24 de ago. de 2024 · Ontology Reasoning with Deep Neural Networks. Patrick Hohenecker, Thomas Lukasiewicz. The ability to conduct logical reasoning is a fundamental aspect … WebOntology Reasoning. Reasoning is the process of deriving facts that are not explicitly expressed in the ontology; Reasoning makes implicit facts explicit; Logical … Web1 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 … princess anne falklands

Reasoning Task - an overview ScienceDirect Topics

Results of the Ontology Alignment Evaluation Initiative 2012

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. WebOntology-based fault diagnosis is an important method for diagnosing faults. Due to the expressive ability, knowledge sharing and knowledge reuse based on deep semantics, and supporting for logical reasoning, ontology-based fault diagnosis has received more and more attention from researchers in the past decade. princess anne familyWeb1 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. princess anne eventing

"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 … " - Ontology reasoning

Ontology reasoning

Web30 de set. de 2024 · An ontology-based modelling and reasoning framework for assembly sequence planning. Lihong Qiao, Yifan Qie, Zuowei Zhu, Yixin Zhu, Uzair Khaleeq uz Zaman &. Nabil Anwer. The International Journal of Advanced Manufacturing Technology 94 , 4187–4197 ( 2024) Cite this article. 653 Accesses.

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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 … Web14 de mar. de 2007 · The ontology is connected to external relational data management or data federation systems through a mapping establishing a semantic relation between …

Web11 de mai. de 2024 · The combination of ontology reasoning and deep learning can make full use of the advantages of knowledge-driven and data-driven methods. Therefore, coupling data-driven deep learning and knowledge-guided ontology reasoning is a promising way to achieve truly intelligent interpretation of RS imagery [25], [26]. 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 introduce a new model for statistical relational learning that is built upon deep recursive neural networks, and give experimental …

WebAn 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 ” … 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 …

Web17 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 …

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 … princess anne family practice doctorsWebThe ontology created goes under the subclass of ontology in our framework. 2.3.4 A process engineering view Simperl et al. in their paper [58] aim at contributing to the operationalization of the ontology learning process by introducing a methodology describing the major coordinates of these processes in terms of activities, actors, inputs, outputs … princess anne face maskWebOntology reasoning refers to a common scenario where the inference rules to be used for reasoning, called the ontology in this context, are speciﬁed alongside the … princess anne factsWebReasoning with large amounts of data together with ontological knowledge is becoming a pertinent issue. In this chapter, we will give an overviewof wellknown ontology repositories, including native stores and database based stores, and highlight strengths and limitations of each store. We take Minerva as an example to analyze ontology storage ... princess anne falls off horseWeb2 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 … plex won\\u0027t loadWeb11 de mai. de 2024 · This study presents a new unified ontology reasoning approach which includes intra- and extra-taxonomy ontology reasoning. The former directly … princess anne family photosWebResults of the Ontology Alignment Evaluation Initiative 2012? Jos´e Luis Aguirre 1, Kai Eckert4, Jer´ ome Euzenatˆ 1, Alﬁo Ferrara2, Willem Robert van Hage 3, Laura Hollink , Christian Meilicke 4, Andriy Nikolov5, Dominique Ritze , Franc¸ois Scharffe6, Pavel Shvaiko7, Ondˇrej Svˇ ab-Zamazal´ 8, Cassia Trojahn´ 9, Ernesto Jimenez-Ruiz 11, … princess anne fashion