Ontology reasoning

Author: zjde

August undefined, 2024

WebOntology reasoning refers to a common scenario where the inference rules to be used for reasoning, called the ontology in this context, are speciﬁed along with the factual information that we seek to reason about. Figure 1 provides an example of this setting. The rationale behind this separation of ontology and facts is that it allows for ... 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, …

Ontology Modeling for Probabilistic Knowledge Graphs

Web1 de jan. de 2024 · Objective: The study sought to describe the literature describing clinical reasoning ontology (CRO)-based clinical decision support systems … 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 … ipc whma 620

Understanding and improving ontology reasoning efficiency …

http://raghavam.github.io/teaching/monsoon2024/ontmodelling/ontology-reasoning.html Web30 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 … 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. ipc whma a 620b pdf

Deep Learning for Ontology Reasoning DeepAI

Ontology-based Reasoning Approach for Long-term Behavior …

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 … 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 … ipcwhma-a-620dWeb5 de out. de 2024 · This survey also highlighted the need and importance of ontology evaluation. They described five levels of ontology evaluation, namely, lexical (vocabulary), hierarchical, contextual, syntactic and structural levels. They concluded that human-based evaluation is possible at all above-mentioned five levels ( 17 ). ipc whma 620 training

"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 … " - Ontology reasoning

Ontology reasoning

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. Web1 de jan. de 2024 · Ontologies are the fundamental building blocks of the Semantic Web and Linked Data. Reasoning is critical to ensure the logical consistency of ontologies, and to …

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Web8 de mai. de 2024 · Ontology-mediated query answering is a vibrant area at the crossroads of several domains, namely data management, knowledge … 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 …

WebWhy Ontology Reasoning? • Given key role of ontologies in many applications, it is essential to provide tools and services to help users: – Design and maintain high quality ontologies, e.g.: • Meaningful — all named classes can have instances • Correct — captured intuitions of domain experts • Minimally redundant — no unintended ...

WebReasoning in ontologies and knowledge bases is one of the reasons why a specification needs to be formal one. By reasoning we mean deriving facts that are not expressed in … WebGeospatial Reasoning With Open Data. Kristin Stock, Hans Guesgen, in Automating Open Source Intelligence, 2016. Qualitative Spatial Reasoning. Qualitative spatial reasoning (QSR) has been a fruitful research field for some decades, specifically addressing the recognition that reasoning about relationships of objects in space (including geographic …

WebResults 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, …

http://oaei.ontologymatching.org/2012/results/oaei2012.pdf ipc whmaWeb2 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 … ipc whma a 620 class 3Web11 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]. open university in abujaWeb3 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 … open university inclusion courseWeb13 de ago. de 2024 · Information systems have to deal with an increasing amount of data that is heterogeneous, unstructured, or incomplete. In order to align and complete data, systems may rely on taxonomies and background knowledge that are provided in the form of an ontology. This survey gives an overview of research work on the use of ontologies … ipc whma a 620d 中文版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 … ipc whma traininghttp://protege.stanford.edu/conference/2007/slides/owlTutorial-reasoning_dameron.pdf open university how to reference a video