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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Information and Analytical Environment to Support Scientific Research in Geology: Current Status and Development</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Russia v.naumova@sgm.ru</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Kirill A. Platonov Vernadsky State Geological Museum RAS Moscow</institution>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Sergey E. Dyakov Institute of Automation and Control Processes FEB RAS Vladivostok</institution>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Vitaliy S. Eremenko Vernadsky State Geological Museum RAS Moscow</institution>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The work describes the development and adaptation of methods and technologies for processing and analysis of territorially distributed heterogeneous geological information and services of its processing. The basis of the information-analytical environment for geology scientific support and maintenance, designed on the base of created approaches, methods and technologies, integrating territorially distributed geological information with the use of special services, its analysis and processing. The authors suppose that the developed platform of processing and analysis thematic services management, which is a part of the information-analytical environment, will provide an access to the modern knowledge-intensive algorithms and computing resources storages, required for expeditious processing of geological data large arrays.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>with the access to free and open data management technologies and analysis platforms. The application of free
and open satellite data for ecological, economic and social purposes is able to provide information and
applications, highly influencing local, regional and global scales. Achievements in the cloud computing and
availability of free and open technologies, such as Open Data Cube, mean that different countries without local
infrastructure for data large volumes processing are able to receive access to data and computing facilities for
creation of corresponding applications and decision making information.</p>
      <p>The main U.S. Geoscience Information Network (http://usgin.org) target is to simplify open access to united
digital data and software in Earth sciences. USGIN standards, protocols and tasks is an inheritance of National
Geothermal Data System (NGDS), the system of mutual data usage, providing the access to geothermal
resources information.</p>
      <p>British Geological Survey has a wide range of data sets and permanently expands the access to them by
publication of data large quantities on the OpenGeoscience BGS (http://www.bgs.ac.uk/opengeoscience) Portal.
OpenGeoscience available services include: viewing geological data through the UK geological map search box,
and by using WMS, the access to more than million geological sections and pits photo scans, and also to
GeoScienic geological photo archive; viewing of published paper maps from 1832 to 2014 and publications
from 1835 upto the present moment.</p>
      <p>EarthChem Portal, supported by Columbia University (http://www.earthchem.org) contains more than 860
thousands samples from 20 thousand geological publications and provides possibility of GeoRock, PetDB,
CedDB etc. geophysical data bases analysis and visualization on the map.</p>
    </sec>
    <sec id="sec-2">
      <title>2 Vernadsky State Geological Museum RAS (SGM</title>
      <p>information-analytical geological environment for</p>
    </sec>
    <sec id="sec-3">
      <title>GeologyScience.ru»</title>
    </sec>
    <sec id="sec-4">
      <title>RAS) Project “Development of geological researches support</title>
      <p>In 2014-2017 the authors executed works on development and realization of first Internet-infrastructure version
for support and maintenance of geological scientific researches in the Far East of Russia. [Nau15; Nau17].</p>
      <p>The main target of that project was organization of the single access point to geological data on the Russian
territory and to the processing systems with the possibility of data search in territorially distributed diverse
sources and also with use of territorially distributed computing-analytical data processing knots; the interaction
with them is through web-services technologies. The integration of heterogeneous geological data and
processing services into united information-analytical environment based on united policies provides possibility
of complex information analysis and allows to receive a qualitative new knowledge about geological objects.</p>
      <p>The loosely coupled block infrastructure is on the base of suggested approach. This infrastructure based on
difference in geological data types: spatial, quantitative, bibliographic and based on expert knowledge. Each
separate information environment block has different approaches and technologies for data integration, storage
and search.</p>
      <p>The main Environment structure requirements are:
• Access to information resources on the base of international standards and unified policies;
• Pass-through information search in the Environment as on the logical, as also on the physical level;
• Monitoring of territorially distributed data sources and computing knots, and also the Environment
main knots.</p>
      <p>• Support of pass-through authorization and rights differentiation.</p>
    </sec>
    <sec id="sec-5">
      <title>3 Environment information level</title>
      <p>automatic mode out of DSpace uploaded backups in SIP formats into text file with the further SQL script
download into PostgreSQL DSpace table.</p>
      <p>Quantitative data block. The developing block is a single access point to geological territorially distributed
quantitative information through unified interface [Pla18]. The data are integrated on logical level with the use
of global DataCite metadata scheme. Scientific publications, author’s data bases, world data Centers, and also
experimental data tables are chosen as data sources. The definition and data receipt in information system is
possible on OAI protocols and RESTfull interface. Integrated information, if necessary, is transformed by
author’s algorithms into electronic tables’ format and metadata are generated.</p>
      <p>Spatial data access block is developed to provide user access to Russian geological maps. An access is
achieved using spatial data metadata cataloging technology on the base of international service of OGC
Catalogue Service for the Web (OGC CSW) catalogue. Catalogue service allows a quick data search on
different criterions and to receive attributive information about separate object including data reference.
Metadata cataloging technology application on the base of international standards allows to integrate external
data sources, using this data representation approach. Metadata profile on ISO 19115 and ISO 19139 standards
are used for geological maps metadata description. Catalogue data are stored at data supplier on the external
knot in the form of vector files and also in the form of separate layers in the frames of spatial data access
services, such as OGC Web Map Service, (OGC WMS) and OGC Web Feature Service (OGC WFS). A
software package with the open code GeoNetwork is used for catalogue service. The catalogue at the moment
has metadata of A.P. Karpinsky Russian Geological Research Institute (VSEGEI) 1:1000000 scale third
generation on the Russian territory (131 records), and also VSEGEI metadata 1:200000 of the second generation
on the Russian territory (212 records).</p>
      <p>Remote access to Meta information about Russian Federation mineral deposits and state geological reports
of Rosnedra agency data base is fixed in the Environment, containing records about 52 thousand deposits and
478 thousand geological reports. Facet technology is used for deposits search. A user can select a deposit on
name (after first four symbols a hint arises), or select region, town etc. The minerals type (on the base of arising
hint) is to be selected separately. This decision is a compromise between input of full names and output of
multipage list. Thus, the search is a selection not by index, but by fulltext search, allowing it with regular
phrases use.</p>
      <p>Satellite block provides to users a single access point to спутников Aqua, Terra, Landsat, orbview-3 satellite
data and to other multispectral data of high and medium resolution. The data sources are satellite data portals of
Institute of Automation and Control Processes FEB RAS Satellite Monitoring Center, NASA, USA Geological
Survey (USGS). The data search is in three modes: search with user’s external search portal, search on
metadata, search on own metadata satellite images data base.</p>
      <p>Satellite images are processed according to existing information, but in any case a user receives the whole
information, including overview images.</p>
      <p>Search system converts a request generated by user into requests of names search sequence and search on
geographical coordinates. After that, the requests sequentially from user’s browser are transferred to search
machines of the Portal separate blocks (machines process requests in parallel), and they, in turn, searching
independently or applying to their own search systems of the Portal blocks or to global search systems.</p>
      <p>Integration of the described approach with the technologies of information systems new type, i.e. operations
with data and also with data sets, is very perspective. The object of these systems storage is data set, i.e. tables.
New data come in the system through user interface or on metadata exchange protocols and OAI dada.</p>
      <p>Computing-analytical Environment block is a cloud user’s tool for different types of geological data
processing. The suggested approach supposes an application of external computing knots for data processing,
interaction with those, are realized through web service technologies use, in particular OGC Web Processing
Service.</p>
      <p>The implemented platform is an intermediary between the user and external processing systems, providing a
single interface of access to all processing algorithms, existing in external processing systems (system knots).
The described architecture also contemplates data usage possibility, not only out of available in open sources,
but also download of data for processing by user himself. The developed Environment computional - analytical
processing blocks and geological information analysis are organized in the form of service and analytical
functions sets with the possibility of user’s access to processing method selection; processing chains, switching
on data download, formats transformation, analysis methods and results visualization; thematic chains
implementing a sequence of analysis methods. The access to processing and analysis services is available
through the platform of data processing distributed services management.</p>
      <p>Computing-analytical geological environment [Ere18] at the present moment includes the following
processing knots:
• Multidimensional methods of data analysis. It includes a set of methods for multidimensional analysis
of quantitative data, such as factor analysis, cluster analysis, regression analysis etc. As a component
for module of statistical analysis of quantitative data was selected the R programming language. The
interface for interaction with services is organized with module Rserve usage. This knot is developed
and supported by Vernadsky State Geological Museum RAS [Pla18].</p>
      <p>Satellites data processing. It includes methods of satellite data initial processing, such as calibration
and satellite data spatial binding. This knot is developed and supported by Institute of Automation and
Control Processes FEB RAS.</p>
      <p>Petrology-geochemical data processing. The Shmidt Institute of Physics of the Earth RAS developed
an interactive base of petrology-geochemical data processing methods [Iva16]. The system represents
services of spidergrams, histograms and classification diagrams design; the service of minerals
identification on their chemical composition; minerals composition interpretation service and
decomposition into minals etc. The interface of interaction with services is built on the base of REST
architecture.</p>
      <p>Publications structural analysis. Interdisciplinary center of mathematical and computing modelling
(Warsaw University, Poland) developed a service for metadata extraction out of scientific publications
[Tka15]. Metadata include authors, affiliation, abstract, key words, journal name, volume, year of
issue, sorted bibliographical references, structure of document chapters, chapters names and
paragraphs. The interface of interaction with services is built on the base of REST architecture.
Natural language processing. Sheffield University in the frames of GATE project (General Architecture
for Text Engineering) developed a range of text data processing services for different languages
[May16]. For text data processing in Russian language, services are provided on words parts of speech
definition, and also for allocation of named entities such as names and surnames, organizations names,
geographical names, dates, monetary units etc. The interface of interaction with services is built on the
base of REST architecture.</p>
      <p>Monitoring system is developed in the frames of computing-analytical environment for high level of services
operation, allowing to operatively reply on services operation changes [Ere19]. Applications of heterogeneous
services, interaction with those are executed with the help of different protocols and on different interfaces,
implicate a list of monitoring restrictions. However, having united technical information about each service
(service web-address, protocol, protocol version etc., it is possible to implement the following types of
verifications:
▪ Test of remote knot access;
▪ Test of remote knot service functionality on required interaction protocol;
▪ Test of service operation alterations on the base of WPS processes requests.</p>
      <p>The more complicated service conditions tests types require detailed description of interaction interface, and
such tests are dependent on concreate service realization.</p>
      <p>Using described service conditions test methods, it is possible to form statistic of separate services
accessibility. In case of any access problem to concrete service, it is possible to offer users alternative
realizations of such service if available in the environment.</p>
    </sec>
    <sec id="sec-6">
      <title>4 Development perspectives</title>
      <p>Thematic resources unification into a single integrated information infrastructure of scientific researches support
allows to receive a direct access to all System knots. It decreases user’s operations with each knot, allows to
separate knots and knots separate services, to be integrated with the other information systems, simplifies
System management process.</p>
      <p>To solve a range of problems: creation of united metadata Data Base, development of simple , development
of simple general search tool to each information block and search results transfer possibilities, the authors, at
the present moment are developing an approach allowing integration of heterogeneous metadata bases out of
Environment information blocks into united subsystem on CKAN platform. CKAN is a powerful system of data
management with the open program code, making data accessible, providing data optimization tools, their
mutual application, allocation, representation and storage. CKAN Platform is a new type of information systems
– data management systems (DMC), based on “open access” principals and CODATA operations. The storage
object of this system is data sets i.e. tables. New data appear in the system through user interface or through
metadata exchange protocols and OAI data.
[Ere19]</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <string-name>
            <surname>Eremenko</surname>
            <given-names>V. S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Naumova</surname>
            <given-names>V. V.</given-names>
          </string-name>
          <article-title>System of cataloguing and monitoring of geographically distributed computing nodes in the environment of WPS services for solving geological problems // NSU Bulletin</article-title>
          . Series: Information technologies.
          <year>2019</year>
          . Т.
          <volume>17</volume>
          , No 2.
          <string-name>
            <surname>Pages</surname>
          </string-name>
          39-
          <fpage>48</fpage>
          . DOI 10.25205/1818- 7900-2019-17-2-
          <fpage>39</fpage>
          -48
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <surname>Ivanov S.D.</surname>
          </string-name>
          <article-title>Online register of geosensors based on web application//Computer research</article-title>
          and modeling,
          <year>2016</year>
          . T.
          <volume>8</volume>
          . No.
          <volume>4</volume>
          .
          <string-name>
            <surname>Pages</surname>
          </string-name>
          621-
          <fpage>632</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <source>[Nau17] [Sho09] [Sho15] [Tka15] [May16] [Ere18] [</source>
          <string-name>
            <surname>Pla18] Naumova</surname>
            <given-names>V. V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Goryachev</surname>
            <given-names>I.N</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Diakov</surname>
            <given-names>S.E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Belousov</surname>
            <given-names>A.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Platonov</surname>
            <given-names>K.A.</given-names>
          </string-name>
          <article-title>Modern technologies of information infrastructure formation to support and support scientific geological research in the Far East</article-title>
          of Russia//Information technologies,
          <year>2015</year>
          , №
          <fpage>7</fpage>
          - Pages 551-559
          <string-name>
            <surname>Naumova</surname>
            <given-names>V. V.</given-names>
          </string-name>
          <string-name>
            <surname>Information</surname>
            and Functional Capabilities of Information Internet Infrastructure to Support Scientific Research in Geology // XVI Russian Conference "Distributed Information and
            <given-names>Computing</given-names>
          </string-name>
          <string-name>
            <surname>Resources. Science - Digital Economy</surname>
          </string-name>
          <article-title>"(DICR-</article-title>
          <year>2017</year>
          ):
          <article-title>Reports of the XVI All-Russian Conference (December 4-7</article-title>
          ,
          <year>2017</year>
          ). Novosibirsk / Under Ed.
          <string-name>
            <given-names>O.L.</given-names>
            <surname>Zhizimov</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A.M.</given-names>
            <surname>Fedotov</surname>
          </string-name>
          .
          <article-title>-</article-title>
          <year>2017</year>
          .
          <article-title>- Novosibirsk: ICT SB RAS</article-title>
          .
          <article-title>-</article-title>
          <string-name>
            <surname>Pages</surname>
          </string-name>
          44-49 - ISBN:
          <fpage>978</fpage>
          -5-
          <fpage>905569</fpage>
          -10-4.
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <string-name>
            <given-names>Shokin Yu.I.</given-names>
            ,
            <surname>Fedotov</surname>
          </string-name>
          <string-name>
            <surname>A.M. To</surname>
          </string-name>
          <article-title>the issue of development of information infrastructure of the SB of Russian Academy of Sciences//Computing technologies</article-title>
          .
          <source>- 2009</source>
          . -
          <fpage>Т</fpage>
          .
          <year>14</year>
          . -
          <fpage>№</fpage>
          6.
          <string-name>
            <surname>- Pages</surname>
            127-137
            <given-names>Shokin</given-names>
          </string-name>
          <string-name>
            <surname>Yu</surname>
          </string-name>
          . I.,
          <string-name>
            <surname>Fedotov</surname>
            <given-names>A. M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhizimov</surname>
            <given-names>O. L.</given-names>
          </string-name>
          <article-title>Technologies of creating distributed information systems to</article-title>
          support scientific research//Computing technologies -
          <year>2015</year>
          . -
          <fpage>Т</fpage>
          .
          <volume>20</volume>
          , №
          <fpage>5</fpage>
          .
          <string-name>
            <surname>- Pages</surname>
            251-274
            <given-names>Dominika</given-names>
          </string-name>
          <string-name>
            <surname>Tkaczyk</surname>
            , Pawel Szostek, Mateusz Fedoryszak, Piotr Jan Dendek and
            <given-names>Lukasz</given-names>
          </string-name>
          <string-name>
            <surname>Bolikowski</surname>
          </string-name>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <article-title>CERMINE: automatic extraction of structured metadata from scientific literature</article-title>
          . In
          <source>International Journal on Document Analysis and Recognition</source>
          ,
          <year>2015</year>
          , vol.
          <volume>18</volume>
          , no.
          <issue>4</issue>
          ,
          <string-name>
            <surname>Pages</surname>
          </string-name>
          317-335, doi: 10.1007/s10032-015-0249-8.
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <string-name>
            <given-names>Diana</given-names>
            <surname>Maynard</surname>
          </string-name>
          , Kalina Bontcheva, and
          <string-name>
            <given-names>Isabelle</given-names>
            <surname>Augenstein</surname>
          </string-name>
          .
          <source>Synthesis Lectures on the Semantic Web: Theory and Technology</source>
          ,
          <source>December</source>
          <year>2016</year>
          , Vol.
          <volume>6</volume>
          , No. 2,
          <string-name>
            <surname>Pages</surname>
          </string-name>
          1-194
          <string-name>
            <surname>Eremenko</surname>
            <given-names>V. S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Naumova</surname>
            <given-names>V. V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Platonov</surname>
            <given-names>K. A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Dyakov</surname>
            <given-names>S. E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Eremenko</surname>
            <given-names>A. S.</given-names>
          </string-name>
          <article-title>The main components of a distributed computational and analytical environment for the scientific study of geological systems //</article-title>
          <source>Russian Journal of Earth Sciences</source>
          , vol.
          <volume>18</volume>
          , no.
          <issue>6 (current</issue>
          ),
          <year>2018</year>
          . DOI:
          <volume>10</volume>
          .2205/2018ES000636
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <string-name>
            <surname>Platonov</surname>
            <given-names>K.</given-names>
          </string-name>
          <string-name>
            <surname>Methods</surname>
          </string-name>
          and
          <article-title>Technologies for Integration and Processing of Geographically Distributed Quantitative Geological Information</article-title>
          , DAMDID/RCDL 2018 (Moscow, Russia, October 9-
          <issue>12</issue>
          ,
          <year>2018</year>
          ),
          <source>CEUR Workshop Proceedings</source>
          , vol.
          <volume>2277</volume>
          ,
          <string-name>
            <surname>Selected</surname>
          </string-name>
          <article-title>Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains</article-title>
          , eds. Leonid Kalinichenko, Yannis Manolopoulos, Sergey Stupnikov, Nikolay Skvortsov, Vladimir Sukhomlin, Pages
          <fpage>250</fpage>
          -
          <lpage>255</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>