Research and development workstation environment: the new class of Current Research Information Systems

O.V. Palagin, V.Yu. Velychko, K.S. Malakhov, O.S. Shchurov

Abstract


Against the backdrop of the development of modern technologies in the field of scientific research, the new class of Current Research Information Systems (CRIS) and related intelligent information technologies have arisen. It was called – Research and Development Workstation Environment (RDWE) – the comprehensive problem-oriented information systems for scientific research and development lifecycle support. The given paper describes design and development fundamentals of the RDWE class systems. The general information model of the RDWE class systems is developed. Also the paper represents the information model of the RDWE class system for supporting research in the field of ontology engineering – the automated building of applied ontology in an arbitrary domain area, scientific and technical creativity – the automated preparation of application documents for patenting inventions in Ukraine. It was called – Personal Research Information System. The main results of our work are focused on enhancing the effectiveness of the scientist’s research and development lifecycle in the arbitrary domain area.

Problems in programming 2018; 2-3: 255-269


Keywords


CRIS; RDWE; cloud-integrated environment; ontology engineering; composite web service; cloud computing; cloud learning environment

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References


Houssos N. 2011. CRIS for research information management.

ERGO – European Research Gateways Online 2018, viewed 07 February 2018, .

euroCRIS – The International Organization for Research Information 2018, viewed 07 February 2018, .

Main features of CERIF: The Common European Research Information Format 2018, viewed 07 February 2018, .

Modern scientific information systems. Prospects of use 2001, viewed 07 February 2018, .

Tan W. and Zhou M. 2013. Business and Scientific Workflows: A Web Service-Oriented Approach (Vol. 5). John Wiley & Sons.

Semenov M.A. 2017. Service support of e-learning at the replaced university. Open educational e-environment of modern university. N 3. P. 295–302.

Lindgren N. and Rautamki A. 2000. Managing strategic aspects of research. Proceedings CRIS-2000, Helsinki, ftp://ftp.cordis.lu/pub/cris2000/docs/rautamdki_fulltext. pdf.

Dew P., Leigh C., Whyte B. 2000. ADVISER II: Theory and practice of finding and presenting RTD results. Proceedings CRIS-2000, Helsinki, ftp://ftp.cordis.lu/pub/cris2000/docs/dewBfulltext.pdf.

CORDIS – Community Research and Development Information Service 2018, viewed 07 February 2018, .

ResearchGate 2018, viewed 07 February 2018, .

Helge P. 2013, ‘A quick glance at business models of academic social networking services’, Hybrid Publishing Lab Notepad, weblog post, 12 January, viewed 07 February 2018, .

Academia.edu – Share research 2018, viewed 07 February 2018, .

Mendeley – Reference Management Software & Researcher Network 2018, viewed 07 February 2018, .

Van den Eynden V., Corti L., Woollard M., Bishop L. and Horton L. 2011. Managing and Sharing Data: a best practice guide for researchers.

Kothari C.R. 2004. Research methodology: Methods and techniques. New Age International.

Prokudin D. 2015. Design and Implementation of an Integrated Information System to Support Scientific Research. arXiv preprint arXiv:1504.04800.

ORCID – Connecting Research and Researchers 2018, viewed 07 February 2018, .

ResearcherID 2018, viewed 07 February 2018, .

OpenID Foundation website 2018, viewed 07 February 2018, .

Vestdam T. 2013. The future of CRIS systems-an interplay with VIVO.

Wiederhold L. 2000. Cooperative Structures for the Collection of Internet Resources on and from the Middle East. http://www.bibliothek.uni-halle.de/text/vortraege/venedig.htm.

Skorokhodov VA, Khudyakova I.M. Automated workplace manager: tutorial. Kyiv, 2008. 416 p.

Nabielsky J. and Skelton A.P. 1981. Virtual Terminal management model.

What are microservices? 2018, viewed 07 February 2018, .

Dvorkin E. 2014, ‘Seven micro-services architecture advantages’, Art of Software Engineering, weblog post, 3 June, viewed 07 February 2018, .

Node.js 2018, JavaScript runtime built on Chrome's V8 JavaScript engine, viewed 07 February 2018, .

Fielding R.T. and Taylor R.N. 2000. Architectural styles and the design of network-based software architectures (Vol. 7). Doctoral dissertation: University of California, Irvine.

Etzkorn L.H. 2017. Introduction to Middleware: Web Services, Object Components, and Cloud Computing. CRC Press.

Bhowmik S. 2017. Cloud Computing. Cambridge University Press.

National Institute of Standards and Technology 2018, viewed 07 February 2018, .

Shkarupylo V., Kudermetov R., Paromova T. 2010. Conceptual model of automated composite web services synthesis process.

Palagin O.V., Velychko V.Yu., Malakhov K.S. and Shchurov O.S. 2017. Personal research information system. About developing the methods for searching patent analogs of invention. Computer means, networks and systems. N 16. P. 5–13.

Atomic Web Service for converting PDF files to plain/text 2018, viewed 07 February 2018, .

Atomic Web Service for converting DOC/DOCX files to plain/text 2018, viewed 07 February 2018, https://github.com/malakhovks/doc-docx-extract-api>.

Atomic Web Service for automatic text summarization 2018, viewed 07 February 2018, .

Atomic Web Service for converting text from UTF-8 to WIN-1251 2018, viewed 07 February 2018, .

Petrov S. 2016. ‘Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source’, Google Research Blog, weblog post, 12 May, viewed 07 February 2018, .

SyntaxNet: Neural Models of Syntax 2018, viewed 07 February 2018, .

TensorFlow – An open-source machine learning framework for everyone 2018, viewed 07 February 2018, .

Velychko V.Yu., Malakhov K.S., Shchurov O.S. 2017. Information model of an intelligent agent-aided search of scientific papers. Computational Intelligence (Results, Problems and perspectives), P. 105–107.

ckreibich/scholar.py: A parser for Google Scholar, written in Python 2018, viewed 07 February 2018, .

Mikolov T., Chen K., Corrado G. and Dean J. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.

Bojanowski P., Grave E., Joulin A. and Mikolov T. 2016. Enriching word vectors with subword information. arXiv preprint arXiv:1607.04606.

Velychko V.Yu., Malakhov K.S., Semenkov V.V., Strizhak A. E. 2014. Integrated Tools for Engineering Ontologies. Information Models and Analyses. N 4. P. 336–361.

Gladun V., Velychko V., Ivaskiv Y. 2008. Selfstructurized Systems. International Journal "Information Theories & Applications", Vol. 15. N 1. P. 5–13.

Andrushhenko T.I., Velychko V.Yu., Hal"chenko S.A., Hloba L.S., Hulyayev K.D., Klimova E.Ya., Komova O.B., Lisovyj O.V., Popova M.A., Pryxod¬nyuk V.V., Stryzhak O.Ye., Stus D.M., 2013. Metodyky napysannya naukovyx robit na osnovi ontolohichnoho analizu tekstiv: metodychnyj posibnyk K. : TOV «SITIPRINT», 124 p. (In Ukrainian).

RaRe-Technologies/gensim: Topic Modelling for Humans 2018, viewed 07 February 2018, .

Kutuzov A. and Kuzmenko E. 2016, April. WebVectors: a toolkit for building web interfaces for vector semantic models. In International Conference on Analysis of Images, Social Networks and Texts (P. 155–161). Springer, Cham.

Palagin O.V., Velychko V.Yu., Malakhov K.S. and Shchurov O.S. 2017. Design and software implementation of subsystems for creating and using the ontological base of a research scientist. Problems in programming. N 2. P. 72–78.

Palagin A.V., Petrenko N.G., Malakhov K.S. 2011. Technique for designing a domain ontology. Computer means, networks and systems, N 10. P. 5–12.

Palagin O.V., Petrenko M.G. and Kryvyi S.L. 2012. Ontolohichni metody ta zasoby obrobky predmetnykh znan. Publishing center of V. Dahl East Ukrainian National University.

Palagin A.V., Petrenko N.G., Velychko V.Y. and Malakhov K.S. 2018. The problem of the development ontology-driven architecture of intellectual software systems. arXiv preprint arXiv:1802.06767.

Palagin A.V., Petrenko N.G., Velichko V.Yu. and Malakhov K.S. 2014. Development of formal models, algorithms, procedures, engineering and functioning of the software system “Instrumental complex for ontological engineering purpose”. Problems in programming, N 2–3. P. 221–232.

Palagin A.V., Petrenko N.G., Velichko V.Yu., Malakhov K.S. and Tikhonov Yu.L. 2012. To the problem of “The Instrumental complex for ontological engineering purpose” software system design. Problems in programming, N 2–3. P. 289–298.


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