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Table extraction, analysis, and interpretation: The current state of the TabbyDOC project 4

Table extraction, analysis, and interpretation: The current ...

引用

4th Scientific-Practical Workshop Information Technologies: Algorithms, Models, systems, ITAMS 2021

作者： Shigarov, Alexey Dorodnykh, Nikita Mikhailov, Andrey Paramonov, Viacheslav Yurin, Alexander Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences 134 Lermontov St Irkutsk664033 Russia

The freely available tabular data represented in various digital formats, such as print-oriented documents, spreadsheets, and web pages, are a valuable source to populate knowledge graphs. However, difficulties that inevitably arise with the extraction and integration of the tabular data often hinder their intensive use in practice. TabbyDOC project aims at elaborating a theoretical basis and developing open software for data extraction from arbitrary tables. Previously, it was devoted to the following issues: (i) table extraction tables from print-oriented documents, (ii) data transformation from spreadsheet tables to relational and linked data. This paper summarizes the project’s results that are intended for the following tasks: (i) automation of fine-tuning artificial neural networks for table detection in document images, (ii) a synthesis of programs for spreadsheet data transformation driven by user-defined rules of table analysis and interpretation, and (iii) generating RDF-triples from entities extracted from relational tables. © 2021 Copyright for this paper by its authors.

关键词： Extraction

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Parallel Clustering Algorithm for the k-medoids Problem in High-dimensional Space for Large-scale Datasets

Parallel Clustering Algorithm for the k-medoids Problem in H...

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International Asian School-Seminar Optimization Problems of Complex systems (OPCS)

作者： Sergey Vandanov Aleksandr Plyasunov Anton Ushakov Department of Physics Novosibirsk State University Novosibirsk Russia Lab. of Mathematical Models of Decision Making Sobolev Institute of Mathematics of SB RAS Novosibirsk Russia Matrosov Institute for System Dynamics and Control Theory of SB RAS Irkutsk Russia

We present a robust, parallel primal-dual heuristic algorithm for the k-medoids clustering problem, a widely utilized method in data mining and machine learning. Our approach surpasses current algorithms by effectively addressing their limitations, such as time-consuming distance matrix calculations, inefficient nearest-neighbor searches, and difficulties in handling large-scale datasets. To overcome these challenges, we employ an efficient parallel implementation, combined with a pioneering subgradient search algorithm. We evaluate our algorithm on the BIRCH and Stanford Dog datasets and demonstrate its superiority over existing k-medoids clustering algorithms in terms of solution quality and run time. Additionally, we introduce a novel vectorization technique that enables our algorithm to handle various types of data, such as images, text, and point data. Overall, our work contributes to the field of data mining and machine learning by providing an efficient and effective solution for the k-medoids clustering problem. The proposed algorithm offers improved performance, and versatility, making it a valuable tool for a wide range of applications.

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On a Solving Bilevel D.C.-Convex Optimization Problems 19th

On a Solving Bilevel D.C.-Convex Optimization Problems

引用

19th International Conference on Mathematical Optimization theory and Operations Research,MOTOR 2020

作者： Orlov, Andrei V. Matrosov Institute for System Dynamics and Control Theory of SB of RAS Irkutsk Russia

ISBN: (纸本)9783030586560

This work addresses the optimistic statement of a bilevel optimization problem with a general d.c. optimization problem at the upper level and a convex optimization problem at the lower level. First, we use the reduction of the bilevel problem to a nonconvex mathematical optimization problem using the well-known Karush-Kuhn-Tucker approach. Then we employ the novel Global Search theory and Exact Penalty theory to solve the resulting nonconvex optimization problem. Following this theory, the special method of local search in this problem is constructed. This method takes into account the structure of the problem in question. © 2020, Springer Nature Switzerland AG.

关键词： Convex optimization

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system for monitoring parameters of functioning infrastructure objects and their external environment 2

System for monitoring parameters of functioning infrastructu...

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2nd International Workshop on Information, Computation, and control systems for Distributed Environments, ICCS-DE 2020

作者： Sidorov, I.A. Kostromin, R.O. Feoktistov, A.G. Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov St. 134 Irkutsk664033 Russia

The paper addresses relevant issues applying the concept of Industry 4.0 in related to modeling infrastructure objects at the Baikal natural territory that use environmentally friendly technologies. In particular, the use of heat pumps belongs to such technologies, since this enables us to reduce air emissions. Object models are designed on the basis of their digital twins. Digital twins are intended to reflect the structure and processes of object functioning. In addition, we plan to delegate them the decision-making in managing these objects in real-time. Such a digital twin has to become smarter over time. This virtual entity has to gain knowledge and skills to select optimal scenarios for controlling object and improving its functioning parameters. Therefore, the initial problem in its development is creating a monitoring system for the collection, unification, aggregation, storage, and transmission of subject-oriented data. Such data include information about the object operation and environmental state. The data must be promptly obtained from peripheral equipment (controlling and measuring devices). For the effective operation of a digital twin, we have to partially transfer functions of primary data processing, their intellectual analysis and decision-making to the controlling and measuring devices. To this end, we use agents that implement software on peripheral equipment. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Decision making

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On Solving the Quadratic Sum-of-Ratios Problems 19th

On Solving the Quadratic Sum-of-Ratios Problems

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19th International Conference on Mathematical Optimization theory and Operations Research, MOTOR 2020

作者： Gruzdeva, Tatiana V. Strekalovsky, Alexander S. Matrosov Institute for System Dynamics and Control Theory of SB of RAS Irkutsk Russia

ISBN: (纸本)9783030499877

This paper addresses the numerical solution of fractional programs with quadratic functions in the ratios. Instead of considering a sum-of-ratios problem directly, we developed an efficient global search algorithm, which is based on two approaches to the problem. The first one adopts a reduction of the fractional minimization problem to the solution of an equation with an optimal value of a parametric d.c. minimization problem. The second approach reduces the original problem to the optimization problem with nonconvex (d.c.) constraints. Hence, the fractional programs can be solved by applying the Global Search theory of d.c. optimization. The global search algorithm developed for sum-of-ratios problems was tested on the examples with quadratic functions in the numerators and denominators of the ratios. The numerical experiments demonstrated that the algorithm performs well when solving rather complicated quadratic sum-of-ratios problems with up to 100 variables or 1000 terms in the sum. © 2020, Springer Nature Switzerland AG.

关键词： Functions

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Automation of distributed data management in applied microservices package for scientific computations 2

Automation of distributed data management in applied microse...

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2nd International Workshop on Information, Computation, and control systems for Distributed Environments, ICCS-DE 2020

作者： Oparin, G.A. Bogdanova, V.G. Pashinin, A.A. Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov St. 134 Irkutsk664033 Russia

We offer a specialized toolkit for automating both knowledge management when creating an applied microservices package and data accumulating during its application for scientific computations in a hybrid computing environment. The decentralized solving of the declaratively formulated problem is carried out by an active agent group. This group is self-organized by logical inference on the distributed knowledge base of a subject domain. The developed toolkit automates the creating and updating of the local knowledge base of the manager-agent of applied microservices package, as well as the local knowledge bases of distributed computational agents. Local knowledge bases are formed using a description of the interface of computational microservices managed by these agents. Microservice ensembles, corresponding to the active group, are stored in the knowledge base of the manager-agent. The developed toolkit uses this information for testing microservice in the case of its update. In hybrid computing, this toolkit provides synchronizing, archiving, and saving of calculated data. Hybrid infrastructure combines the reliability and availability of using on-premises computers with scaling to the cloud when peak loads occur. The conducted experiments confirmed the effectiveness of the presented approach for solving practically significant scientific problems. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

关键词： Managers

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Global and Local Search Methods for D.C. Constrained Problems 19th

Global and Local Search Methods for D.C. Constrained Problem...

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19th International Conference on Mathematical Optimization theory and Operations Research, MOTOR 2020

作者： Strekalovsky, Alexander S. Matrosov Institute for System Dynamics and Control Theory of SB of RAS Irkutsk Russia

ISBN: (纸本)9783030499877

This paper addresses the general optimization problem ($$\mathcal P$$) with equality and inequality constraints and the cost function given by d.c. functions. We reduce the problem to a penalized problem ($$\mathcal P_{\sigma }$$) without constraints with the help of the Exact Penalization theory. Further, we show that the reduced problem is also a d.c. minimization problem. This property allows us to prove the Global Optimality Conditions (GOCs), which reduce the study of the penalized problem to an investigation of a family of linearized (convex) problems tractable with the help of standard convex optimization methods and software. In addition, we propose a new Local Search Scheme (LSS1) which produces a sequence of vectors converging to a so-called critical point. On the other hand, the vector satisfying the GOCs turns out to be also a critical point. On the basis of the GOCs for finding a global solution to ($$\mathcal P_{\sigma }$$), we develop a Global Search Scheme, including the LSS1 with an update of the penalty parameter, and a special stopping criteria allowing detection of a feasible vector in the original problem ($$\mathcal P$$), and, consequently, a global solution to the original Problem ($$\mathcal P$$). © 2020, Springer Nature Switzerland AG.

关键词： Cost functions

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TabbyLD: A Tool for Semantic Interpretation of Spreadsheets Data 7th

TabbyLD: A Tool for Semantic Interpretation of Spreadsheets ...

引用

7th International Conference on Modelling and Development of Intelligent systems, MDIS 2020

作者： Dorodnykh, Nikita O. Yurin, Aleksandr Yu. Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences 134 Lermontov Street Irkutsk664033 Russia

ISBN: (纸本)9783030685263

Spreadsheets are one of the most convenient ways to structure and represent statistical and other data. In this connection, automatic processing and semantic interpretation of spreadsheets data have become an active area of scientific research, especially in the context of integrating this data into the Semantic Web. In this paper, we propose a TabbyLD tool for semantic interpretation of data extracted from spreadsheets. Main features of our software connected with: (1) using original metrics for defining semantic similarity between cell values and entities of a global knowledge graph: string similarity, NER label similarity, heading similarity, semantic similarity, context similarity;(2) using a unified canonicalized form for representation of arbitrary spreadsheets;(3) integration TabbyLD with the TabbyDOC project’s tools in the context of the overall pipeline. TabbyLD architecture, main functions, a method for annotating spreadsheets including original similarity metrics, the illustrative example, and preliminary experimental evaluation are presented. In our evaluation, we used the T2Dv2 Gold Standard dataset. Experiments have shown the applicability of TabbyLD for semantic interpretation of spreadsheets data. We also identified some issues in this process. © 2021, Springer Nature Switzerland AG.

关键词： Spreadsheets

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Survey of software configuration management tools of nodes in heterogeneous distributed computing environment 2

Survey of software configuration management tools of nodes i...

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2nd International Workshop on Information, Computation, and control systems for Distributed Environments, ICCS-DE 2020

作者： Kostromin, R.O. Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov St. 134 Irkutsk664033 Russia

The paper discusses the problem of preparing a computing environment for large-scale scientific experiments in the process of continuous integration of applied and system software. A comparative analysis of software configuration management tools (such as Chef, Ansible, Puppet, and SaltStack) of computational nodes in a heterogeneous environment is being performed. These tools are intended for automating the configuration of different nodes. Such automation reduces the setup time of nodes and increases the reliability of computations by minimizing the number of software and hardware failures, associated with the human factor in the manual configuration process. For the development of scientific applications, the Orlando Tools framework is used. Based on the results of the comparative analysis and requirements of this framework, the Ansible framework was selected for further integration into the chain of continuous integration of applied and system software. Practical experiments have shown the advantages of using Ansible in comparison with other systems of a similar purpose. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Software reliability

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Locating Facilities Under Deliberate Disruptive Attacks 19th

Locating Facilities Under Deliberate Disruptive Attacks

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19th International Conference on Mathematical Optimization theory and Operations Research, MOTOR 2020

作者： Ushakov, Anton V. Vasilyev, Igor Matrosov Institute for System Dynamics and Control Theory of SB RAS 134 Lermontov str. Irkutsk664033 Russia

ISBN: (纸本)9783030499877

Facility disruptions or failures may occur due to natural disasters or a deliberate man-made attack. Such an attack is known as interdiction. Recently, facility location problems, addressing intentional strikes against operating facilities and strategies to reduce their impact, have received particular attention. In this paper, we present a new location-interdiction median problem aimed at designing a distribution network which is robust to the worst-case, long-term facility losses. We suppose that there are two players: defender (system designer) and attacker. The defender decides where to locate facilities to minimize the overall cost of supplying the demands of customers. The attacker determines which r facilities to interdict to maximize the cost of serving the customers from the remaining operational facilities. Note that we suppose that the facilities are attacked simultaneously and interdicted facilities become unavailable. We propose bilevel and single-level integer formulations of this problem. For a particular case when the attacker hits a single facility, we develop a fast local search procedure based on implicit enumeration of interdiction strategies. We test our approaches in a series of computational experiments on well-known test problems. © 2020, Springer Nature Switzerland AG.

关键词： Integer programming

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