Control model for the alignment of the quality assessment of scientific documents based on the analysis of content-related context
A control method is proposed for the construction of a quality assessment of scientific and technical documents in natural languages based on the formalization of the perceptions of a document’s content-related context. A method is provided for using the models of documents characterizing their subj...
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Published in: | Journal of computer & systems sciences international Vol. 55; no. 6; pp. 938 - 947 |
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Format: | Journal Article |
Language: | English |
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Pleiades Publishing
01-11-2016
Springer Nature B.V |
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Abstract | A control method is proposed for the construction of a quality assessment of scientific and technical documents in natural languages based on the formalization of the perceptions of a document’s content-related context. A method is provided for using the models of documents characterizing their subject and content alongside bibliometric and scientometric data and indicators to identify both the objective and subjective (authors’ and readers’) content-related context of the analyzed document. An outlook is given as to how the context analysis of scientific and technical documents, taking into account quantitative measures of quality (information capacity, significance, and independence of content), as well as traditional bibliometric and scientometric indicators (the document’s citation index and the journal’s impact factor) provides for an objective assessment of the document’s quality
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AbstractList | A control method is proposed for the construction of a quality assessment of scientific and technical documents in natural languages based on the formalization of the perceptions of a document’s content-related context. A method is provided for using the models of documents characterizing their subject and content alongside bibliometric and scientometric data and indicators to identify both the objective and subjective (authors’ and readers’) content-related context of the analyzed document. An outlook is given as to how the context analysis of scientific and technical documents, taking into account quantitative measures of quality (information capacity, significance, and independence of content), as well as traditional bibliometric and scientometric indicators (the document’s citation index and the journal’s impact factor) provides for an objective assessment of the document’s quality
1
. A control method is proposed for the construction of a quality assessment of scientific and technical documents in natural languages based on the formalization of the perceptions of a document's content-related context. A method is provided for using the models of documents characterizing their subject and content alongside bibliometric and scientometric data and indicators to identify both the objective and subjective (authors' and readers') content-related context of the analyzed document. An outlook is given as to how the context analysis of scientific and technical documents, taking into account quantitative measures of quality (information capacity, significance, and independence of content), as well as traditional bibliometric and scientometric indicators (the document's citation index and the journal's impact factor) provides for an objective assessment of the document's quality1. A control method is proposed for the construction of a quality assessment of scientific and technical documents in natural languages based on the formalization of the perceptions of a document's content-related context. A method is provided for using the models of documents characterizing their subject and content alongside bibliometric and scientometric data and indicators to identify both the objective and subjective (authors' and readers') content-related context of the analyzed document. An outlook is given as to how the context analysis of scientific and technical documents, taking into account quantitative measures of quality (information capacity, significance, and independence of content), as well as traditional bibliometric and scientometric indicators (the document's citation index and the journal's impact factor) provides for an objective assessment of the document's quality super(1). |
Author | Kreines, E. M. Kreines, M. G. |
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Cites_doi | 10.1214/09-STS285 10.1134/S1064230716040092 10.1016/j.joi.2015.01.006 10.1016/j.joi.2015.03.001 10.1007/s11192-014-1514-1 10.1134/S1064230713020044 10.1016/j.joi.2015.03.003 10.1016/j.joi.2015.03.004 10.1134/S1064230709020117 |
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References | Basic Bibliometrical Indexes for Estimation of Scientific Work Efficiency. Methodical Guide, Ed. by P. S. Volegov, M. A. Tashkinov, and O. D. Tsvetova (Perm. Nats. Issled. Politekh. Univ., Perm, 2012) [in Russian]. KreinesM. G.AfoninA. A.KreinesE. M.The control model for the selection of reference collections providing the impartial assessment of the quality of scientific and technological publications by using bibliometric and scientometric indicatorsJournal of Computer and Systems Sciences International201355575076610.1134/S1064230716040092 BornmannL.LeydesdorffL.Does quality and content matter for citedness? a comparison with para-textual factors and over timeJ. Informetrics20159341942910.1016/j.joi.2015.03.001 ArnoldD.FowlerK.Nefarious NumbersNot. A. Math. Soc.20115843427891231223.01042 FaddeevL. D.From the interview to Ekspert journalNumbers Game, or How They Evaluate the Work of Scientist Now, Collection of Articles on Bibliometrics2011 KreinesE. M.KreinesM. G.Model of control selection of reference collections for the objective evaluation of the quality of scientific and technical publications according to bibliometric and scientometric indicatorsIzv. Akad. Nauk, Teor. Sist. Upravl.201657389 CominsJ. A.HusseyT. W.Compressing multiple scales of impact detection by reference publication year spectroscopyJ. Informetrics20159344945410.1016/j.joi.2015.03.003 BornmannL.HaunschildR.The interest of the scientific community in expert opinions from journal peer review proceduresScientometrics201510232187218810.1007/s11192-014-1514-1 Torres-MorenoJ.-M.Artex is AnotheR tEXt summarizer2012 NewmanD.LauJ. H.GrieserK.BaldwinT.Automatic evaluation of topic coherenceHuman Language Technologies, Proceedings of the 2010 Annual Conference on the North Americah Chapter of the ACL2010100108 KreinesM. G.Methods of computational analysis of semantic models for quality assessment of scientific textsJ. Comput. Syst. Sci. Int.20135222610.1134/S10642307130200441307.68080 KreinesM. G.Models and technologies for the extraction of aggregated knowledge to control processes of the retrieval of non-structured informationJ. Comput. Syst. Sci. Int.200948272255536010.1134/S10642307090201171173.93310 BornmannL.MarxW.Methods for the generation of normalized citation impact scores in bibliometrics: which method best reflects the judgements of experts?J. Informetrics2015940841810.1016/j.joi.2015.01.006 AdlerR.EwingJ.TaylorP.Citation statisticsStat. Sci.2009241256112010.1214/09-STS2851290.01035 Gould ThomasH. P.Do We Still Need Peer Review? An Argument for Change2012Washington, DCRowman Littlefield, Scarecrow Press OrlovA. I.Desicion Making Theory, The School-Book2004 SangwalK.On the growth dynamics of citations of articles by some Nobel Prize winnersJ. Informetrics2015946647610.1016/j.joi.2015.03.004 L. Bornmann (6637_CR4) 2015; 102 K. Sangwal (6637_CR17) 2015; 9 M. G. Kreines (6637_CR13) 2013; 55 M. G. Kreines (6637_CR15) 2009; 48 J.-M. Torres-Moreno (6637_CR11) 2012 D. Arnold (6637_CR6) 2011; 58 6637_CR1 E. M. Kreines (6637_CR14) 2016; 5 M. G. Kreines (6637_CR16) 2013; 52 R. Adler (6637_CR5) 2009; 24 L. Bornmann (6637_CR8) 2015; 9 H. P. Gould Thomas (6637_CR2) 2012 A. I. Orlov (6637_CR10) 2004 D. Newman (6637_CR12) 2010 L. Bornmann (6637_CR3) 2015; 9 L. D. Faddeev (6637_CR7) 2011 J. A. Comins (6637_CR9) 2015; 9 |
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SubjectTerms | Bibliometrics Control Documentation Engineering Exegesis & hermeneutics Indexes (documentation) Indicators Information sources Information technology Mathematical models Mechatronics Natural language (computers) Perception Quality assessment Robotics Scientometrics Systems Analysis and Operations Research Technical information |
Title | Control model for the alignment of the quality assessment of scientific documents based on the analysis of content-related context |
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