Data Analytics and Management in Data Intensive Domains : 20th International Conference, DAMDID/RCDL 2018, Moscow, Russia, October 9{u2013}12, 2018, Revised Selected Papers

This book constitutes the refereed proceedings of the 20th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2018, held in Moscow, Russia, in October 2018. The 9 revised full papers presented together with three invited papers were carefully reviewed and selected from 54 submissions. The papers are organized in the following topical sections: FAIR data infrastructures, interoperability and reuse; knowledge representation; data models; data analysis in astronomy; text search and processing; distributed computing; information extraction from text. Leonid Kalinichenko 6 Preface 9 Organization 12 Contents 16 FAIR Data Infrastructures, Interoperability and Reuse 18 FAIR Principles and Digital Objects: Accelerating Convergence on a Data Infrastructure 19 Abstract 19 1 Introduction 19 2 Learning from Previous Revolutionary Infrastructures 20 3 FAIR Digital Objects 23 3.1 Digital Objects 23 3.2 FAIR Principles 25 4 GO FAIR, DO FAIR 26 4.1 Data to be Findable 26 4.2 Data to be Accessible 27 4.3 Data to be Interoperable 27 4.4 Data to be Reusable 27 4.5 Summary 28 5 Participating 29 5.1 RDA GEDE DO Topic Group 29 5.2 C2CAMP 29 5.3 GO FAIR Implementation Network 29 6 Conclusions 29 Acknowledgments 30 References 30 Extensible Unifying Data Model Design for Data Integration in FAIR Data Infrastructures 33 Abstract 33 1 Introduction 33 2 Data Model Unification 35 2.1 General Principles of Data Model Unification 35 2.2 Languages and Formal Methods Required for Data Model Unification 36 2.3 Stages of Data Model Unification 37 3 FAIR Data Based on Data Model Unification 48 Acknowledgments 50 References 50 Meaningful Data Reuse in Research Communities 53 Abstract 53 1 Introduction 53 2 Research on the Edge of Paradigms 55 3 Domain Specifications for Humans and Machines 56 4 Referencing Specification Approaches 58 5 The State of Art of Domain Specifications in Astronomy 58 6 Collections of Methods and Experiment Specifications 61 7 Research Lifecycle in Domain Communities 62 8 Conclusion 65 Acknowledgments 65 References 65 Knowledge Representation 68 Tabular and Graphic Resources in Quantitative Spectroscopy 69 Abstract 69 1 Introduction 69 2 Some Peculiarities of Tabular and Graphic Presentations of Resources in Publications 71 2.1 Publication Model 71 2.2 Tabular Presentation 71 2.3 Scientific Graphics 72 3 Information and Data Sources 78 3.1 Definitions 78 4 Quantitative Spectroscopy Ontology Metrics 79 5 Conclusion 82 Acknowledgements 82 References 82 Data Models 84 The Principles and the Conceptual Architecture of the Metagraph Storage System 85 Abstract 85 1 Introduction 85 2 The Description of the Metagraph Model 86 3 The Metagraph Agent and Its Homoiconicity 87 4 The Active Metagraph and Principles of Its Storage 90 5 The Conceptual Architecture of the Metagraph Storage System 91 6 Mapping the Metagraph Model to Storage Models 92 6.1 Mapping Metagraph Model to the Flat Graph Model 93 6.2 Mapping Metagraph Model to the Document Model 94 6.3 Mapping Metagraph Model to the Relational Model 95 7 The Experiments 96 8 Related Work 98 9 Conclusions 98 References 99 Data Analysis in Astronomy 100 Evaluation of Binary Star Formation Models Using Well-Observed Visual Binaries 101 Abstract 101 1 Introduction 101 2 The Model 103 3 Some Reflections Concerning Selection of Models 106 4 Observational Data for Comparison 107 5 Results and Discussion 108 5.1 Star Formation Function 108 5.2 Simulation of Visibility of Binary Stars 112 6 Future Plans 112 6.1 Modeling Different Observational Types of Binaries 113 7 Conclusion 114 Acknowledgments 115 References 115 Text Search and Processing 118 Proximity Full-Text Search by Means of Additional Indexes with Multi-component Keys: In Pursuit of Optimal Performance 119 Abstract 119 1 Introduction 119 2 Lemmatization and Lemma Type 121 2.1 Word Type 121 2.2 Lemmatization 122 2.3 Index Type 122 3 A New Search Algorithm 122 3.1 The Search Algorithm General Structure 122 3.2 Subquery Evaluation 123 3.3 Index Selection 124 3.4 Search in the Document 127 3.5 Intermediate Posting List Data Ordering 129 3.6 Advantages of the New Algorithm 130 3.7 Computational Complexity 130 4 Search Experiments 131 4.1 Search Experiment Environment 131 4.2 Search Results 131 4.3 Comparison Between Three-Component Key Indexes and Two-Component Key Indexes 134 5 Conclusion and Future Work 136 References 137 Scope and Challenges of Language Modelling - An Interrogative Survey on Context and Embeddings 139 1 Introduction 139 2 Stochastic Language Modelling 140 3 Character-Level Embeddings 141 3.1 Character n-grams 142 4 Word Embeddings 143 4.1 Bag of Words 143 4.2 Out-of-Vocabulary Words 143 4.3 Word2Vec 144 4.4 Bag of Tricks - FastText 145 4.5 CoVe 146 4.6 Dict2Vec 147 4.7 Context Selection 148 5 New Directions 149 6 Discussion 150 7 Conclusion 151 References 152 Distributed Computing 154 Scalable Algorithm for Subsequence Similarity Search in Very Large Time Series Data on Cluster of Phi KNL 155 Abstract 155 1 Introduction 155 2 Related Work 156 3 Notation and Problem Background 157 3.1 Definitions and Notation 157 3.2 The UCR-DTW Serial Algorithm 157 4 The PhiBestMatch Parallel Algorithm 159 4.1 Partitioning of the Time Series 159 4.2 Data Layout 160 4.3 Computational Scheme 161 5 Experiments 162 5.1 Experimental Setup 162 5.2 Evaluation on a Single Cluster Node 164 5.3 Evaluation on a Cluster System 166 5.4 Comparison with Analogue 167 6 Conclusion 167 Acknowledgments 168 References 168 Information Extraction from Text 171 Neural Network Approach for Extracting Aggregated Opinions from Analytical Articles 172 1 Introduction 172 2 Related Work 173 3 Corpus and Annotation 174 4 Contexts 175 5 Context Classification 176 5.1 Context Embedding 176 5.2 Convolution 177 5.3 Piecewise Max Pooling 178 5.4 Sentiment Prediction 178 5.5 Training 178 5.6 Text Processing and Embedding Details 179 6 Extracting Sentiment Attitudes 180 7 Experiments 180 8 Conclusion 183 References 183 Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams 185 1 Introduction 185 2 Related Work 186 3 Natural Language Processing Pipeline 190 3.1 Basic Linguistic Analysis 190 3.2 Named Entity Recognition 190 3.3 Detection of Emergency Related Messages 191 3.4 Event Classification 191 4 Emergency Event Detection Method 192 4.1 Identification of Events 192 4.2 Detection of Novel Events 193 4.3 Events Matching 193 5 Experiments 194 5.1 Detection of Emergency Related Messages 194 5.2 Event Classification 195 5.3 Novel Emergency Event Extraction 196 5.4 Event Localization and Visualization 197 6 Conclusion 198 References 198 Citation Content Analysis and a Digital Library 202 Abstract 202 1 Introduction 202 2 Open Citation Content Data 204 3 Digital Library and Citation Content Data 208 4 Discussion 210 4.1 Grouping of Citation Contexts 210 4.2 Quantitative Characteristics 211 4.3 Qualitative Characteristics 213 5 Conclusion 215 Acknowledgements 215 References 215 Author Index 217 Front Matter ....Pages i-xviii Front Matter ....Pages 1-1 FAIR Principles and Digital Objects: Accelerating Convergence on a Data Infrastructure (Erik Schultes, Peter Wittenburg)....Pages 3-16 Extensible Unifying Data Model Design for Data Integration in FAIR Data Infrastructures (Sergey Stupnikov, Leonid Kalinichenko)....Pages 17-36 Meaningful Data Reuse in Research Communities (Nikolay A. Skvortsov)....Pages 37-51 Front Matter ....Pages 53-53 Tabular and Graphic Resources in Quantitative Spectroscopy (Nikolai A. Lavrentiev, Alexey I. Privezentsev, Alexander Z. Fazliev)....Pages 55-69 Front Matter ....Pages 71-71 The Principles and the Conceptual Architecture of the Metagraph Storage System (Valeriy M. Chernenkiy, Yuriy E. Gapanyuk, Georgiy I. Revunkov, Ark M. Andreev, Yuriy T. Kaganov, Ivan V. Dunin et al.)....Pages 73-87 Front Matter ....Pages 89-89 Evaluation of Binary Star Formation Models Using Well-Observed Visual Binaries (Oleg Malkov, Dmitry Chulkov, Yikdem Gebrehiwot, Dana Kovaleva, Nikolay A. Skvortsov, Alexey Sytov et al.)....Pages 91-107 Front Matter ....Pages 109-109 Proximity Full-Text Search by Means of Additional Indexes with Multi-component Keys: In Pursuit of Optimal Performance (Alexander B. Veretennikov)....Pages 111-130 Scope and Challenges of Language Modelling - An Interrogative Survey on Context and Embeddings (Matthias Nitsche, Marina Tropmann-Frick)....Pages 131-145 Front Matter ....Pages 147-147 Scalable Algorithm for Subsequence Similarity Search in Very Large Time Series Data on Cluster of Phi KNL (Yana Kraeva, Mikhail Zymbler)....Pages 149-164 Front Matter ....Pages 165-165 Neural Network Approach for Extracting Aggregated Opinions from Analytical Articles (Nicolay Rusnachenko, Natalia Loukachevitch)....Pages 167-179 Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams (Dmitriy Deviatkin, Artem Shelmanov, Daniil Larionov)....Pages 180-196 Citation Content Analysis and a Digital Library (Sergey Parinov)....Pages 197-211 Back Matter ....Pages 213-213 This book constitutes the thoroughly refereed proceedings of the 11th International Conference on Metadata and Semantic Research, MTSR 2017 2017, held in Tallinn, Estonia, November 28th to December 1st, 2017. The 18 full and 13 short papers presented were carefully reviewed and selected from 58 submissions. They focus on the Internet of Things (IoT) and the practical implementation of ontologies and linked data. Further topics are theoretical and foundational principles of metadata; ontologies and information organization; applications of linked data, open data, big data and user-generated metadata; digital interconnectedness; metadata standardization; authority control and interoperability in digital libraries and research data repositories; emerging issues in RDF, OWL, SKOS, schema.org, BIBFRAME, metadata and ontology design; linked data applications for e-books; digital publishing and Content Management Systems (CMSs); content discovery services, search, information retrieval and data visualization applications. This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis. This book constitutes the refereed proceedings of the 6th Conference on Knowledge Engineering and the Semantic Web, KESW 2015, held in Moscow, Russia, in September/October 2015. The 17 revised full papers presented together with 6 short system descriptions were carefully reviewed and selected from 35 submissions. The papers address research issues related to semantic web, linked data, ontologies, natural language processing, knowledge representation.