Preliminary program. Workshop Social Network Data Analysis Session 1. To be added soon. Workshop Social Network Data Analysis Session 2

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1 Institute of Informatics Problems, Federal Research Center Computer Science and Control of the Russian Academy of Sciences Institute for Nuclear Power Engineering, branch of MEPhI Moscow Chapter of АСМ SIGMOD Russian Foundation for Basic Research XVII International Conference DAMDID/RCDL 2015 «Data Analytics and Management in Data Intensive Domains» October 13 16, 2015, Obninsk, Russia October 13 Preliminary program 9:00 18:00 Registration 14:00 15:00 Tutorial H. Mühleisen (Amsterdam University) Large-Scale Statistics with MonetDB and R Part 1. A lecture-style part (60 min) where the topic is discussed from a conceptual viewpoint and an introduction into the state of the art is given. 15:00 15:30 Coffee break 15:30 18:00 Tutorial (continuation) H. Mühleisen (Amsterdam University) Large-Scale Statistics with MonetDB and R Part 2. Hands-on experience, where participants will perform both descriptive and predictive analyses on a large data set, for example data on the 7 Million registered voters in North Workshop Social Network Data Analysis Session 1 To be added soon Workshop Social Network Data Analysis Session 2 To be added soon PhD WS Session 1: Conceptual Modeling of a Universe of Discourse in DID 62 I. Ubaleht (Omsk State Technical University). Design of Schemes of Databases Based on Relationships among Attributes in Conceptual Model 78 D. Kravtsov (Briansk State Technical University). The Formalization of Linguistic Ontology Learning from Wikipedia Using Fuzzy Semantic Relations PhD WS Session 2: Parallel platforms 63 D. Yantsen (South Ural State University). An Approach to Approximate Query Answering in Parallel DBMSs Based on Representative Sampling and Partial Database Replication

2 Carolina. Previous experience with R is expected to attend the hands-on part. Attendees need to bring Laptops with at least 4 GB of main memory on which R and MonetDB are already installed. 75 E. Mamedov (P.G. Demidov Yaroslavl State University). A Conceptual Framework for Development of Context-aware Location-based Services on Smart-M3 Platform 19:00 Welcome party October 14 9:00 9:30 Conference Opening 9:30 10:30 Keynote talk P. Wittenburg, (Max Planck Data and Compute Center, EUDAT Scientific Coordinator, RDA Europe Executive Director).Specifying and Implementing Data Infrastructures Enabling Data Intensive Science 10:30 10:45 Coffee break 10:45 12:15 Session 1: Big Data Platforms in DID 10 D. Golubkov (Big Data Laboratory, NRC KI), M. Borodin, K. De, J. E. G. Navarro, A. Klimentov, T. Maeno, D. South, A. Vaniachine. Unified System for Processing Real and Simulated Data in the ATLAS Experiment 27 A. Klimentov, R. Mashinistov, A. Novikov, A. Poyda (NRC "Kurchatov Institute"), I. Tertychnyy (NRC- KI). Integrated Workload and Data Management System in a Heterogeneous Computing Infrastructure 15 E. Vyzilov, D. Melnikov, N. Chunyaev (RIHMI-WDC). The IT in Hydrometeorology: from Data Collection to Analytic and Decisions Support 12:15 12:30 Coffee break 12:30 14:00 Session 3. Subject Domain Modeling in DID Session 2: Data Integration in DID 13 V. Dudarev, N. Kiselyova (IMET RAS) Integrated information system on inorganic substances and materials properties 37 A. Shigarov, V. Paramonov (ISDCT SB RAS). CRL: A Rule Language for Table Analysis and Interpretation 49 O. Zhizhimov (ICT SO RAS). Explain Services of ZooSPACE Platform and Adaptive User Interfaces Session 4. Data Analysis in DID PhD WS Session 3: Methods and Procedures of Data Analysis 61 A. Noskov (Demidov Yaroslavl State University) Development of a Mechanism for Transferring Big Data in Software-defined Networks 68 A. Murashov (NovSU). Analysis of Linguistic Graphs in Applied Research of the Regional Economy 76 A. Khoroshilov (CITiS). A Method for Detecting Implicit Plagiarism in Scientific and Technical Texts on the Basis of their Conceptual Analysis PhD WS Session 4: Peculiarities of Data in DID

3 23 S. Smagin (IACP FEB RAS). Method of inductive formation of medical diagnostic knowledge bases 25 D. Lande (IIR NASU). A domain model created on the basis of Google Scholar Citations 41 Yu. Zagorulko, I. Ahmadeeva, A. Sery (A.P. Ershov Institute of Informatics Systems). An automatization of collection of information about scientific activity for subject intelligent scientific internet resources 14 N. Kiselyova, V. Dudarev, A. Stolyarenko (IMET RAS). Information-analytical system for design of new inorganic compounds 24*(s) I. Okladnikov, E. Gordov, A. Titov, T. Shulgina (IMCES SB RAS). Information-computational system for online analysis of georeferenced climatological data 33*(s) V. Samodurov, A. Rodin (PRAO ASC LPI), E. Isaev (Higher School of Economics), D. Dumsky (PRAO ASC FIAN), D. Churakov (TSNIIMASH), M. Manzyuk. The daily 110 MHz sky survey (BSA FIAN): on-line database, science aims and data processing by distributed computing 47 B. Yatsalo, V. Didenko, S. Gritsyuk, I. Pichugina (IATE NRNU MEPHI). Spatial Data Analysis with the Use of Decision Support System Decerns 79 M. Saburova (Lomonosov Moscow State University). Feature Assignment to Classes in Terms of Tripartite Data Model and its Applications to Bioinformatics 77 Ilya Kozyrev (YarSU). Ensuring Confidentiality of Data of Internet of Things when Placing them in the Cloud Storage 65 K. Kravtsov (NSTU). Data Transmission in Networks with Address Space Dynamic Randomization 14:00 15:00 Lunch 15:00 16:30 Invited Plenary Session (Session 5) IBM Cognitive Systems: Watson System solutions overview, application examples A.S. Semenikhin (IBM Science and Technology Center). Behind the Watson: an overview A.S. Semenikhin (IBM Science and Technology Center). Beyond the Jeopardy! challenge: where is Watson right now? G. R. Arutyunyan (IBM EE/A, Moscow) IBM Watson Oncology Solution: Application Experience 16:30-16:45 Coffee break 16:45 18:15 Session 6. Information Extraction from Multistructured Data 51 S. Stupnikov, D. Briukhov, L. Kalinichenko, A. Vovchenko (Institute of Informatics Problems, FRC CSC RAS). Session 7.Topic Modeling in Large Text Collections 54 K.Vorontsov (Dorodnicyn Computing Centre of RAS). O. Frei, P. Romov (Yandex), A. Yanina (MIPT), M. Dudarenko, Poster session

4 Information Extraction from Multistructured Data and its Transformation into a Target Schema 18 Z. Apanovich, A. Marchuk (IIS SBRAS). Experiments jn cross-language entity resolution 17(s) D. Dzendzik (SPBGU). Disambiguation Task in Biomedical Literature 19*(s) S. Lyapin (ITMO University), A. Kukovyakin (Constanta LLC) Processing unstructured data (extraction of contextual knowledge) with the services of a full-text search in the digital library M. Apishev (MSU). BigARTM: Open Source Library for Topic Modeling of Large Text Collections 22 K. Boyarskiy, N. Gusarova, N. Dobrenko (ITMO University), E. Kanevskiy, N. Avdeeva (EMI RAS).Specifics of applying topic segmentation algorithms to scientific texts 34(s) Y. Leonova, A. Fedotov (ICT SB RAS).Method of thematic classification of abstracts of theses 59(s) D. Zuev (KFU). Cloud services for publishing in digital scientific journals October 15 9:00 10:30 Keynote talk D. Pease (IBM Distinguished Engineer, IBM Almaden Research Center). The IBM Research Accelerated Discovery Lab: Objectives and Experience 10:30 11:00 Coffee break 11:00 13:00 Session 8. Non-conventional unstructured data 39 V. Barakhnin ( ICT SB RAS), O. Kozhemyakina, A. Zabaykin. Algorithms of complex analysis of Russian poetic texts with the aim of automating metric reference and concordance creating process 26 V.N. Boikov, M.S. Karyaeva, V.A. Sokolov, I.A. Pilshchikov (Demidov Yaroslavl State University). On an automatic procedure for the specification of a poetic text for an Open Information-Analytical System 29 (s) V. Paramonov, A. Shigarov, R. Fedorov, G. Ruzhnikov (ISDCT SB RAS). Session 9. Heterogeneity of data in DID 31 V. Bunakov (STFC). Use cases for triple stores and graph databases in scalable data infrastructures 7* D. Namiot, M. Sneps-Sneppe (Lomonosov Moscow State University). On data model for context aware services 50(s) A. Menshutin, L. Shchur (SCC RAS). Large scale data analysis of Session 10. Computation and data access in DID 69 Stanislav Philippov, V. Zakharov, S. Stupnikov, Dmitriy Kovalev (IPI FRC IС RAS). Approaches to improve the pertinence of information in the media services on the basis of Big Data processing 21* W. Labbadi, J. Akaichi (ISG). Optimal Algorithm for Answering Top-k Queries through their Top- N Rewritings Using Views 57(s) A. Marchuk, S. Leshtaev (ISI SB RAS). Experimental Implementation of

5 Fuzzy string comparison based on adaptation of phonetic algorithms to Russian random growth structures: software and hardware platform 73*(s) P. Belousov, E. Alonceva (INPE NRNU MEPhI). Methods of data stream mining in the diagnostics of nuclear power plant equipment Sparql-1.1 и RDF Triple Store 11(s) V. Munerman (Smolensk State University), V. Zakharov (IPI FRC UI RAS). Parallel implementation of data intensive processing on base of the algebra of multidimensional matrices 13:00 14:00 Lunch 14:00 15:30 Session 11. Methods and procedures for Data Analysis 56 L. Nurgaleeva (National research Tomsk State). Cognitive aspects of epistemological experience research in network digital environment) 8 D. Namiot (Lomonosov Moscow State Univers). Time Series Databases 64 S. Philippov, V. Zakharov, S. Stupnikov, D. Kovalev (IPI FRC IС RAS). Organization of Big Data in the global e-commerce platforms 15:30 16:00 Coffee break Session 12. Information resources and problems in DID 28 S. Barabanov, S. Vereshchagin, N. Chupina (INASAN). The collection of asteroids and comets observations result in the Zvenigorod astronomical observatory 40(s) I. Khaimovich (International Market Institute). Analysis of the status and prospects of economic dataintensive research 36(s) E. Stepanov (MNIIRIP). Processing multidimensional measurement information for the system of technical diagnostics of integrated circuits 58(s) A. Pozanenko, A. Volnova (Space Research Institute RAS). Using astronomical catalogs in searching for peculiar objects 55(s) N. Markova (IPI FRC CSC RAS). Organization of Information Resources within Research Project Session 13. Ontologies in DID 46 V. Telnov (NRNU MEPhI). Semantic web and search agents for Russian higher education. A pilot project 53 A. Bezdushny, A. Bezdushny (MIPT), V. Serebryakov (Dorodnicyn Computing Centre of RAS). MemoPIM: control of private information and knowledge using semantic technologies 52*(s) A Elizarov, N. Zhiltsov, A. Kirillovich, E. Lipachev (Kazan Federal University). Methods of ontological modeling of natural science knowledge areas 16:00 17:30 Panel discussion New Data Access Challenges for Data Intensive Research in Russia L. Kalinichenko, A. Fazliev, E. Gordov, H. Kiselyova, D. Kovaleva, O. Malkov, I. Okladnikov, N. Podkolodny, A. Pozanenko, N. Ponomaryova, S. Stupnikov, A. Volnova.

6 18:00 19:30 Coordinating Committee meeting October 16 9:00-10:30 Keynote talk Michael L. Brodie (Computer Science and Artificial Intelligence Laboratory, MIT) Understanding Data Science: An Emerging Discipline for Data Intensive Discovery 10:30 11:00 Coffee break 11:00 12:30 Plenary Session (Session 14) Andreas Rauber (Vienna TU), Rudolf Mayer, Stefan Proell, and Tomasz Miksa. Repeatability and Reusability in Scientific Processes: Process Context, Data Identification and Verification. Alexander Kanapin (Computational Genomics Head, Department of Oncology, University of Oxford). Data intensive analysis approaches in genomics and proteomics: ELIXIR initiatives Alexander Pozdneev (IBM Science and Technology Center, Moscow). Parallel Algorithms for Trillion Edges Graph Problems 12:30-13:00 Closing of the conference 13:00 14:00 Lunch Departure Marking: By * (asterics) appended to the paper number the conditionally accepted papers are denoted. Final decision on them will be adopted before July 30 based on the reviews of the corrected by the authors papers. (s) marks short presentations (up to 15 minutes)