The paper is devoted to schemes of approximation of attainability sets of nonlinear controlled differential systems where the problem of program control optimization is an "elementary operation." The results...
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Spreadsheets are an important source of information and can be used to create domain models and knowledge bases. We implement an approach for transforming spreadsheets into domain models. This approach consists of 4 s...
ISBN:
(数字)9781728131658
ISBN:
(纸本)9781728131665
Spreadsheets are an important source of information and can be used to create domain models and knowledge bases. We implement an approach for transforming spreadsheets into domain models. This approach consists of 4 steps and based on the use of: an intermediate unified representation of spreadsheets in a canonicalized form, an original technique and software. A canonicalized form provides processing spreadsheets with arbitrary layouts and styles. The original technique provides a two-stage transformation: source spreadsheets to canonicalized tables and canonicalized tables to domain model fragments. Original software is presented by two tools: TabbyXL as a table transformation tool and Personal Knowledge Base Designer as a knowledge base prototyping tool. We present an experimental evaluation of the proposed approach for generating domain models. Two datasets are used for our experiment: Troy200 and ISI-161. We obtained high values of recall and precision (more than 90%) for both datasets. At the same time, the content of resulted domain model fragments was evaluated for the ISI161 dataset. This evaluation showed that 24% of concepts of the domain model for industrial safety inspection tasks were generated automatically by using our approach.
This study demonstrates a comparative analysis of surface and satellite measurements. The average concentrations of PM2.5 and CO, SO2, measured at the Listvyanka station located on the coast of Lake Baikal, were consi...
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German-Russian Astroparticle Data Life Cycle Initiative is an international project whose aim is to develop a distributed data storage system that aggregates data from the storage systems of different astroparticle ex...
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This addresses representation of the table semantics for the cross-context information exchange. The tables we consider have an arbitrary cells structure represented in a machine-readable format. For example, tables c...
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In this paper the interaction Lagrangian of a superparticle with an external chiral (mattеr) superfield Ф(x,θ , θ ), invariant with respect to the global supersymmetry, is proposed. The kinematics of the superpart...
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The paper presents the architecture of the information system to support archaeological research of the AIS "Geoarcheology". The system provides registration, accounting and analysis of various archaeologica...
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The open science framework defined in the German-Russian Astroparticle Data Life Cycle Initiative (GRADLCI) has triggered educational and outreach activities at the Irkutsk State University (ISU), which is actively pa...
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Tables are widely used in organizing, presenting, and storing data. However, as a rule, they have different arbitrary layouts and are not accompanied by explicit semantics necessary for machine interpretation of their...
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ISBN:
(数字)9798331504663
ISBN:
(纸本)9798331504670
Tables are widely used in organizing, presenting, and storing data. However, as a rule, they have different arbitrary layouts and are not accompanied by explicit semantics necessary for machine interpretation of their content. Recent research has shown great progress in solving various problems in the field of automatic table understanding. Despite this, there is still a need to develop more effective solutions that are applicable in practice and take into account data with different linguistic backgrounds. In this paper, we propose a new RuTaBERT framework based on a pre-trained language model and provide semantic column annotation of Russian-language tables. We used a preprocessed large-scale corpus of Russian-language web tables extracted from Wikipedia pages as training data to fine-tune the language model. The experimental results obtained show the prospect of using the proposed framework, including when solving applied problems.
The light-by-light contribution from the lightest neutral pseudoscalar mesons to the anomalous magnetic moment of muon is calculated in the framework nonlocal SU(3) × SU(3) quark model. The model is based on four...
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