Conceptual Modeling in Biomedical Data Research
Matematičeskaâ biologiâ i bioinformatika, Tome 8 (2013) no. 1, pp. 340-349.

Voir la notice de l'article provenant de la source Math-Net.Ru

The paper is devoted to developing effective, based on conceptual modeling, instrument of data analysis contained in scientific publications. The principle of conceptual modeling and its basic models are considered. Examples of practical implementations of technology of conceptual modeling to PubMed information resources are presented. This technology allows to use PubMed resources for creating local thematic knowledge bases.
@article{MBB_2013_8_1_a17,
     author = {M. Y. Bogatyrev and V. S. Vakurin},
     title = {Conceptual {Modeling} in {Biomedical} {Data} {Research}},
     journal = {Matemati\v{c}eska\^a biologi\^a i bioinformatika},
     pages = {340--349},
     publisher = {mathdoc},
     volume = {8},
     number = {1},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MBB_2013_8_1_a17/}
}
TY  - JOUR
AU  - M. Y. Bogatyrev
AU  - V. S. Vakurin
TI  - Conceptual Modeling in Biomedical Data Research
JO  - Matematičeskaâ biologiâ i bioinformatika
PY  - 2013
SP  - 340
EP  - 349
VL  - 8
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/MBB_2013_8_1_a17/
LA  - ru
ID  - MBB_2013_8_1_a17
ER  - 
%0 Journal Article
%A M. Y. Bogatyrev
%A V. S. Vakurin
%T Conceptual Modeling in Biomedical Data Research
%J Matematičeskaâ biologiâ i bioinformatika
%D 2013
%P 340-349
%V 8
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/MBB_2013_8_1_a17/
%G ru
%F MBB_2013_8_1_a17
M. Y. Bogatyrev; V. S. Vakurin. Conceptual Modeling in Biomedical Data Research. Matematičeskaâ biologiâ i bioinformatika, Tome 8 (2013) no. 1, pp. 340-349. http://geodesic.mathdoc.fr/item/MBB_2013_8_1_a17/

[1] Hunter L., Cohen K. B., Biomedical language processing: what's beyond PubMed?, Mol. Cell., 21 (2006), 589–594 | DOI

[2] U.S. National Library of Medicine (data obrascheniya: 15.03.2013) http://www.ncbi.nlm.nih.gov/pubmed

[3] Feldman R., Sanger J., The Text Mining Handbook, Cambridge University Press, New York, 2006

[4] Swanson D. R., Smalheiser N. R., “An interactive system for finding complementary literatures: a stimulus to scientific discovery”, Artificial Intelligence, 91 (1997), 183–203 | DOI | Zbl

[5] Ananiadou S., McNaught J. (eds.), Text Mining for Biology and Biomedicine, Artech House Books, 2006

[6] Shatkay H., Craven M., Biomedical Text Mining, MIT Press, Cambridge, Massachussets, 2007

[7] Zweigenbaum P., Demner-Fushman D., Yu H., Cohen K. B., “Frontiers of biomedical text mining: current progress”, Briefings in Bioinformatics, 8:5 (2007), 358–375 | DOI

[8] Kolchanov N. A., Podkolodnyy N. L., Ivanisenko V. A., Ananko E. A., Demenkov P. S., Yarkova E. E., “Technology For Gene Network Reconstruction and Analysis”, Proc. of the 2 nd Int. Conf. on Math. Biology and Bioinformatics (Pushchino, Russia), M., 2008, 86–87

[9] Fukuda K., Tsunoda T., Tamura A., Takagi T., “Toward information extraction: identifying protein names from biological papers”, Pac Symp. Biocomput., 1998, 707–718

[10] Chen H., Fuller S., Hersh W. R., Friedman C. (eds.), Medical informatics: Advances in knowledge management and data mining in biomedicine, Springer-Verlag, 2005, 211–236

[11] National Center for Biomedical Ontology (data obrascheniya: 15.03.2013) http://www.bioontology.org/

[12] Bogatyrev M. Y., Tuhtin V. V., “Conceptual Modelling In Biomedical Knowledge Discovering”, Proc. of the 3 rd Int. Conf. on Mathematical Biology and Bioinformatics (Pushchino, Russia), M., 2010, 214–215

[13] Bogatyrev M., Kolosoff A., “Using Conceptual Graphs for Text Mining in Technical Support Services”, Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science, 6744, 2011, 466–471 | DOI

[14] Bogatyrev M., Nuriahmetov V., “Application of Conceptual Structures in Requirements Modeling”, Proc. of the International Workshop on Concept Discovery in Unstructured Data (CDUD 2011) at the Thirteenth International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing — RSFDGrC 2011 (Moscow, Russia, 2011), 11–19

[15] Sowa J. F., Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley, London, UK, 1984 | MR | Zbl

[16] Bogatyrev M. Y., Mitrofanova O. A., Tuhtin V. V., “Building Conceptual Graphs for Articles Abstracts in Digital Libraries”, Proceedings of the Conceptual Structures Tool Interoperability Workshop (CS-TIW 2009) at 17$^{th}$ International Conference on Conceptual Structures (ICCS'09) (Moscow, Russia, July 2009), 50–57

[17] Kano Y., Dobson P., Nakanishi M., Tsujii J., Ananiadou S., “PathText: a text mining integrator for biological pathway visualizations”, Bioinformatics, 26:19 (2010), 2486–2487 | DOI | MR

[18] Bernhard G., Stumme G., Wille R. (eds.), Formal Concept Analysis: Foundations and Applications, Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence, 3626, Springer-Verlag, 2005 | DOI | MR

[19] Han J., Kamber M., Pei J., Data Mining: Concepts and Techniques, Third Edition, Morgan Kaufman, 2012 | Zbl

[20] Nørskov-Lauritsen N., Bruun B., Andersen C., Kilian M., “Identification of haemolytic Haemophilus species isolated from human clinical specimens and description of Haemophilus sputorum sp. nov.”, Int. J. Med. Microbiol., 302:2 (2012), 78–83 | DOI

[21] Bendaoud R., Napoli A., Toussaint Y., “Formal Concept Analysis: A unified framework for building and refining ontologies”, Proc. 16th International Conference on Knowledge Engineering and Knowledge Management — EKAW (2008), 156–171

[22] Evtushenko S. A., “Sistema analiza dannykh “CONCEPT EXPLORER””, Trudy 7-oi natsionalnoi konferentsii po iskusstvennomu intellektu KII-2000, Fizmalit, M., 2000, 127–134 | Zbl