Wyniki wyszukiwania - BazTech

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Simple and flexible way to integrate heterogeneous information systems and their services into the world data system

Nowakowski Grzegorz, Telenyk Sergii, Yefremov Kostiantyn, Khmeliuk Volodymyr

Journal of Automation Mobile Robotics and Intelligent Systems

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2021

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Vol. 15, No. 4

76--90

EN

The approach to applications integration for World Data Center (WDC) interdisciplinary scientific investigations is developed in the article. The integration is based on mathematical logic and artificial intelligence. Key elements of the approach – a multilevel system architecture, formal logical system, implementation – are based on intelligent agents interaction. The formal logical system is proposed. The inference method and mechanism of solution tree recovery are elaborated. The implementation of application integration for interdisciplinary scientific research is based on a stack of modern protocols, enabling communication of business processes over the transport layer of the OSI model. Application integration is also based on coordinated models of business processes, for which an integrated set of business applications are designed and realized.

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Open IE-Triples Inference - Corpora Development and DNN Architectures

Víta Martin, Škoda Petr

Annals of Computer Science and Information Systems

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2020

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Vol. 21

199--204

EN

Natural language inference (NLI) is a well established part of natural language understanding (NLU). This task is usually stated as a 3-way classification of sentence pairs with respect to entailment relation (entailment, neutral, contradiction). In this work, we focus on a derived task of relation inference: we propose a method of transforming a general NLI corpus to an annotated corpus for relation inference that utilizes existing NLI annotations. We subsequently introduce a novel relation inference corpus obtained from a well known SNLI corpus and provide its brief characterization. We investigate several DNN siamese architectures for this task and this particular corresponding corpus. We set several baselines including hypothesis only baseline. Our best architecture achieved 96.92% accuracy.

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The approach to applications integration for world data center interdisciplinary scientific investigations

Nowakowski Grzegorz, Telenyk Sergii, Yefremov Kostiantyn, Khmeliuk Volodymyr

Annals of Computer Science and Information Systems

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2019

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Vol. 18

539--545

EN

The approach to applications integration for World Data Center (WDC) interdisciplinary scientific investigations is developed in the article. The integration is based on mathematical logic and artificial intelligence. Key elements of the approach - a multilevel system architecture, formal logical system, implementation - are based on intelligent agents interaction. The formal logical system is proposed. The inference method and mechanism of solution tree recovery are elaborated. The implementation of application integration for interdisciplinary scientific research is based on a stack of modern protocols, enabling communication of business processes over the transport layer of the OSI model. Application integration is also based on coordinated models of business processes, for which an integrated set of business applications are designed and realized.

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Multilingual knowledge base completion by cross-lingual semantic relation inference

Bebeshina-Clairet Nadia, Lafourcade Mathieu

Annals of Computer Science and Information Systems

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2019

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Vol. 18

249--253

EN

Highly structured knowledge bases such as lexical semantic networks contain various connectivity patterns that can be learned as node features using dedicated frameworks. However, semantic relations are often unequally distributed over such knowledge resources. Some of the language partitions may benefit from integrating structured resources which are more easily available for resource-rich languages. In the present paper, we propose a simple endogenous method for enhancing a multilingual knowledge base through the cross-lingual semantic relation inference. It can be run on multilingual resources prior to semantic representation learning. Multilingual knowledge bases may integrate preexisting structured resources available for resource-rich languages. We aim at performing cross-lingual inference on them to improve the low resource language by creating semantic relationships.