60 Years of Databases (final part)
Abstract
The article provides an overview of research and development of databases since their appearance in the 60s of the last century to the present time. The following stages are distinguished: the emergence formation and rapid development, the era of relational databases, extended relational databases, post-relational databases and big data. At the stage of formation, the systems IDS, IMS, Total and Adabas are described. At the stage of rapid development, issues of ANSI/X3/ SPARC database architecture, CODASYL proposals, concepts and languages of conceptual modeling are highlighted. At the stage of the era of relational databases, the results of E. Codd’s scientific activities, the theory of dependencies and normal forms, query languages, experimental research and development, optimization and standardization, and transaction management are revealed. The extended relational databases phase is devoted to describing temporal, spatial, deductive, active, object, distributed and statistical databases, array databases, and database machines and data warehouses. At the next stage, the problems of post-relational databases are disclosed, namely, NOSQL-, NewSQL- and ontological databases. The sixth stage is devoted to the disclosure of the causes of occurrence, characteristic properties, classification, principles of work, methods and technologies of big data. Finally, the last section provides a brief overview of database research and development in the Soviet Union.
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Long F., Zhang H.J., Feng D.D.
Fundamentals of content-based image
retrieval. In: Feng, D.D., Siu, WC., Zhang,
HJ. (Eds.), Multimedia Information
Retrieval and Management, Springer,
Berlin, 2003.
Döller M., Kosch H. Image Database. In
Encyclopedia of Database Systems, Ling
Liu, M. Tamer Özsu Editors, pp. 1761 - 1766
Blaser A. Data Base Techniques for
Pictorial Applications, Florence, Italy, June
-22, 1979, Proceedings. Lecture Notes in
Computer Science 81, Springer 1980,
Tamura H, Yokoya N. Image database
systems: a survey. Pattern Recognition,
,, Vol. 17, No 1, pp 29-43
Chang S.-K., Hsu A. Image information
systems: Where do we go from here? IEEE
Trans. on Knowledge and Data Engineering
Vol. 4 No. 5, 1992 pp. 431–442
Shatford S. Analyzing the subject of a
picture: a theoretical approach. Cataloging
& Classification Quarterly. 1986, Vol. 6,
No 3, pp. 39–62.
Content-based image retrieval. - https://
en.wikipedia.org/wiki/Content-based_
image_retrieval
Kato T. (April 1992). “Database architecture
for content-based image retrieval”. SPIE/
IS&T 1992 Symposium on Electronic
Imaging: Science and Technology,
International Society for Optics and
Photonics, 1992, pp. 112–123.
Lew M.S., Sebe N., Djeraba Ch., Jain R.
Content-based multimedia information
retrieval: State of the art and challenges.
ACM Transactions on Multimedia
Computing, Communications, and
Applications, 2006, Vol. 2, No. 1, pp. 1–19
Jain R., Guest E., Special Issue on Visual
Information Management, Communications
of ACM, 40(12), 30-32, Dec. 1997.
Gudivada V.N., Raghavan J.V. Special issue
on content-based image retrieval systems,
IEEE Computer Magzine, Vol. 28, No. 9,
September 1995.
Narasimhalu A.D. Special section on
content-based retrieval. Multimedia
Systems, 1995, 3 (1): 1-2.
Pentland A., Picard R., Special issue on
digital libraries, EEE Transactions on
Pattern Analysis and Machine Intelligence,
No 8,
Schatz B., Chen H., Building large-scale
digital libraries, Computer, 1996, Vol. 26,
No. 5, pp. 22-26
Linda G. Shapiro, George C. Stockman.
Computer Vision. Prentice Hall PTR,
Upper Saddle River, NJ, USA, 2001,
p.
Veltkamp R.C, Tanase M. Content-Based
Image Retrieval Systems: A Survey, Dept.
Computing Science, Utrecht University,
Utrecht, The Netherlands, Tech. Rep. UU-
CS-2000-34, 2002
Frank Y. Shih. Image Segmentation. In
Encyclopedia of Database Systems, Ling
Liu, M. Tamer Özsu Editors, pp. 1795 -
Linda G. Shapiro and George C. Stockman
(2001): “Computer Vision”, New Jersey,
Prentice-Hall, 609 p.
Image segmentation. - https://en.wikipedia.
org/wiki/Image_segmentation
Pal N.R., Pal S.K. A review on image
segmentation techniques. Pattern
Recognition. 1993, vol. 26, No. 9, pp.
–1294.
Manpreet Kaur, Lal Chand. Review of
image segmentation and its techniques.
Journal of Emerging Technologies and
Innovative Research (JETIR), 2018, Vo. 5,
No. 7, pp. 974-981
Salwa Abdulateef, Mohanad Salman.
A Comprehensive Review of Image
Segmentation Techniques. Iraqi Journal
for Electrical And Electronic Engineering,
, vol. 17, No. 2, pp. 166-175
Plataniotis K.N., Venetsanopoulos A.N.
Color Image Processing and Applications.
Springer, Berlin, 2000.
Manjunath B.S., et al. Introduction to
MPEG-7. Wiley, New York, 2002.
Zhao Q., Yang J., Liu H. Stone Images
Retrieval Based on Color Histogram. In
IEEE International Conference on Image
Analysis and Signal Processing, 2009, pp.
-161.
Stricker M., Orengo M. Similarity of color
images. In Proc. SPIE Storage and Retrieval
for Image and Video Databases, 1995.
Wan X,, Kuo K. Color distribution analysis
and quantization for image retrieval. In
SPIE Storage and Retrieval for Image and
Video Databases IV, vol.SPIE 2670, 1996,
pp. 9- 16
Smith J.R., Chang S.-F. Single color
extraction and image query, in Proc. IEEE
Int. Conf. on Image Proc., 1995.
Smith J.R., Chang S.-F. Tools and
techniques for color image retrieval, in IS
& T/SPIE Proceedings, Vol. 2670, Storage
& Retrieval for Image and Video Databases
IV, 1995.
Pass G., Zabih R., Miller J. Comparing
images using color coherence vectors. In
MULTIMEDIA ‘96: Proceedings of the
fourth ACM international conference on
Multimedia, 1997, pp. 65–73
Haralick R.M., Shanmugam K., DinsteinI.
Texture features for image classification,
IEEE Transactions on Systems, Man, and
Cybernetics, 1973, Vol. SMC-3, No. 6, pp.:
-621
Gotlieb C.C., Kreyszig H.E. Texture
descriptors based on co-occurrence
matrices, Computer Vision, Graphics, and
Image Processing, Vol. 51, No. 1, 1990, pp.
–86
Tamura H., Mori S., Yamawaki T. Texture
features corresponding to visual perception.
EEE Transactions on Systems, Man, and
Cybernetics, 1978, Vol.8, No. 6, pp. 460-
Flickner M., Sawhney H., Niblack W.,
Ashley J., Qian Huang, Dom B., Gorkani
M., Hafner J., Lee D., Petkovic D., Steele
D., Yanker P. “Query by image and video
content: the QBIC system”. Computer.
, Vol. 28, No.9, pp. 23–32.
Huang T.S., Mehrotra S., Ramchandran
K. Multimedia Analysis and Retrieval
System (MARS) project. In P.B. Heidorn.
B. Sandore (eds) Proceedings of the 33rd
Annual Clinic on Library Application of
Data Processing: Digital Image Access and
Retrieval, Urbana, IL, March 1996, pp.
-117. University of Illinois, 1997.
Smith J.R., Chang S.-F. Transform features
for texture classification and discrimination
in large image databases. In Proceedings
of 1st International Conference on Image
Processing, 1994, pp. 407-411.
Chang, Kuo C.-C.J. Texture analysis and
classification with tree-structured wavelet
transform. IEEE Transactions on Image
Processing, 1993, Vol. 2, No.4, pp. 429–
Gross M.H., Koch R., Lippert L., Dreger A.
Multiscale image texture analysis in wavelet
spaces, In Proceedings of 1st International
Conference on Image Processing, 1994. pp.
–416
Kundu A. Chen J.-L. Texture classification
using QMF bank-based subband
decomposition. CVGIP: Graphical Models
and Image Processing 54(5), 1992, pp.
–384.
Thyagarajan K.S., Nguyen T., Persons C.
A maximum likelihood aproach to texture
classification using wavelet transform. In
Proceedings of 1st International Conference
on Image Processing, 1994, vol. 2, pp. 640–
Cross, Jain A.K. Markov random field
texture models. IEEE Transactions on
Pattern Analysis and Machine Intelligence.
Vol. PAMI-5, No.1, 1983, pp.25–39
Plataniotis K.N., Androutsos D.,
Venetsanopoulos A.N. Multichannel filters
for image processing. Signal Processing:
Image Communication, Vol 9, No. 2, 1997,
pp.143-158
Ma W.Y., Manjunath B. Netra: a toolbox
for navigating large image databases.
Proceedings of the IEEE International
Conference on Image Processing, 1997, pp.
–571.
Pentland A.P. Fractal-based description
of natural scenes, EEE Transactions on
Pattern Analysis and Machine Intelligence.
Vol. PAMI-6, No. 6, 1984, pp. 661–674.
Weszka J., Dyer C., Rosenfeld A., A
comparative study of texture measures for
terrain classification. EEE Transactions on
Systems, Man, and Cybernetics. Vol. SMC-
, No. 4, 1976, pp. 269 - 285
Ohanian P.P., Dubes R.C. Performance
evaluation for four classes of texture
features. Pattern Recognition, vol. 25, no.
, pp. 819–833, 1992.
Ma W.Y. Manjunath B.S. A comparison
of wavelet transform features for texture
image annotation. In Proceedings Second
International Conference on Image
Processing (ICIP’95), 1995, vol. 2, pp.
-259,
Armi L., Fekri-Ershad S. Texture image
analysis and texture classification methods
- a review. International Online Journal of
Image Processing and Pattern Recognition,
Vol. 2, No.1, pp. 1-29, 2019
Rui Y., She A.C., Huang T.S.
Modified fourier descriptors for shape
representation—a practical approach, in
Proc. of First International Workshop on
Image Databases and Multi Media Search,
, pp. 22-23
Zahn C.T., RoskiesR.Z. Fourier descriptors
for plane closed curves, IEEE Transactions
on Computers, 1972, Vol. C-21, No. 3, pp. 269 - 281
Persoon E., Fu K.S. Shape Discrimination
Using Fourier Descriptors. IEEE
Transactions on Systems, Man, and
Cybernetics, 1977, Vol. 7, No. 3, pp. 170 -
Hu M. Visual Pattern Recognition by
Moment Invariants. IRE Transactions on
Information Theory, IT-08, 1962, Vol. 8,
No.2, pp. 179-187.
Yang М., Algregtsen F. Fast computation
of invariant geometric moments: A
new method giving correct results,
in Proceedings of 12th International
Conference on Pattern Recognition, 1994,
pp. 201-204.
Pentland A., Picard , Sclaroff S. Photobook:
Content-based manipulation of image
databases, International Journal of
Computer Vision, 1996, 18 (3), pp. 233–
Arkin E.M., Chew L., Huttenlocher D.,
Kedem K., Mitchell J. An efficiently
computable metric for comparing polygonal
shapes, IEEE Trans. Patt. Recog. Mach.
Intell. 13(3), 1991.
Lin H.-C., Chiu C.-Y., Yang S.-N. Finding
textures by textual descriptions, visual
examples, and relevance feedbacks. Pattern
Recognition Letters, 2003, vol. 24, No. 12,
pp. 2255-2267
Chuang G.C.-H., Kuo C.-C.J. Wavelet
descriptor of planar curves: Theory and
applications, IEEE Trans. Image Proc. 5(1),
–70, 1996.
Li B., Ma S.D. On the relation between
region and contour representation.
Proceedings of 12th International
Conference on Pattern Recognition, 1995.
Mehtre B.M., Kankanhalli M., Lee W.F.
Shape measures for content based image
retrieval: A comparison, Information
Processing & Management 33(3), 1997.
Taubin G. Recognition and positioning
of rigid objects using algebraic moment
invariants, in SPIE Vol. 1570, Geometric
Methods in Computer Vision, 1991.
Wallace I., Mitchell O. Three-dimensional
shape analysis using local shape descriptors,
IEEE Trans. Patt. Recog. and Mach. Intell.,
PAMI-3(3), May 1981.
Wallace I., Wintz P. An efficient three-
dimensional aircraft recognition algorithm using normalized Fourier descriptors,
Computer Graphics and Image Processing
, 1980.
Faloutsos C., Flickner M., Niblack W.,
Petkovic D., Equitz W., Barber R. Efficient
and Effective Querying by Image Content,
Journal of Intelligent Information Systems,
Vol. 3, No. 3-4, 1994, pp. 231–262.
Chua T.S., Tan K.-L., Ooi B.C. Fast
signiture-based color-spatial image
retrieval. In ICMCS ‘97: Proceedings
of the 1997 International Conference on
Multimedia Computing and Systems, 1997.
Lu H., Ooi B., Tan K., Efficient image
retrieval by color contents. In Proc. of
the 1994 International Conference on
Applications of Databases, 1994, pp 95–108.
Smith J.R. Chang S.-F. Single color
extraction and image query. In Proc.
IEEE International Conference on Image
Processing, 1995.
Rickman R.M., Stonham T.J. Content-
based image retrieval using colour tuple
histograms,.In Proc. SPIE Storage and
Retrieval for Image and Video Databases
IV, 1996.
Stricker M., Dimai A. Color indexing with
weak spatial constraints. In Proc. SPIE
Storage and Retrieval for Image and Video
Databases IV, 1996.
Huang J., Kumar S., Mitra M., Zhu W.-
J., Zabih R. Image indexing using color
correlogram. In Proc.of IEEE Conf. on
Computer Vision and Pattern Recognition
(CVPR ‘97), 1997.
Mojsilovic A., Rogowitz B. ISee: perceptual
features for image library navigation,
Proceedings of the SPIE, Human Vision
and Electronic Imaging, vol. 4662, 2002,
pp. 266–277.
Mezaris V., Kompatsiaris I., Strintzis M.G.
An ontology approach to object-based
image retrieval, Proceedings of the ICIP,
vol. II, 2003, pp. 511–514.
Chang S.K., Shi Q.Y., Yan C.W. Iconic
indexing by 2D string. IEEE Trans. Pattern
Anal. Mach. Intell. 9 (3) (1987) 413–428.
Ren W., Singh M., Singh C., Image retrieval
using spatial context, Ninth International
Workshop on Systems, Signals and Image Processing (IWSSIP’02), Manchester,
November, 2002.
Smith J.R., Li C.-S. Decoding image
semantics using composite region
templates, IEEEWorkshop on Content-
Based Access of Image and Video Libraries
(CBAIVL-98), June 1998, pp. 9–13.
Gaede V., Günther O. Multidimensional
access methods. ACM Comput Surv.
;30(2):170–231.
Ahn H.K., Mamoulis N., Wong H.M.
A survey on multidimensional access
methods. Technical report, Utrecht
University (2001)
Venkateswaran J. A Survey of Recent
Multidimensional Access Methods.
Technical Report, University of Missouri-
Rolla. -2004. 162 p.
Faloutsos C., Lin K.-I. Fastmap: A fast
alogorithm for indexing, data-mining and
visualization of traditional and multimedia
datasets. ACM SIGMOD Record, Vol. 24,
No 2, 1995, pp. 163–174
Ng R.T., Sedighian A. Evaluating multi-
dimensional indexing structures for images
transformed by principal component
analysis, in Proc. SPIE Storage and
Retrieval for Image and Video Databases,
White D., Jain R. Similarity indexing:
Algorithms and performance, in Proc. SPIE
Storage and Retrieval for Image and Video
Databases, 1996.
Chandrasekaran V., Manjunath B.S.,Wang
Y.F., Winkeler J., Zhang H. An eigenspace
update algorithm for image analysis.
CVGIP: Graphical Models and Image
Processing Journal, Vol. 59, No. 5,1997,
pp. 321-332
Salton G., McGill M.J. Introduction to
Modern Information Retrieval, McGraw-
Hill, New York, 1983.
Guttman A. R-tree: A dynamic index
structure for spatial searching. ACM
SIGMOD Record, Vol. 14, No. 2, 1984, pp.
–57
Sellis T., Roussopoulos N., Faloutsos C.
The R+-tree: A dynamic index for multi-
dimensional objects. Proceedings of the
th VLDB Conference, Brighton 1987,
pp. 507-518.
Greene D. An implementation and performance analysis of spatial data access methods. Proceedings of the Fifth International Conference on Data Engineering, 1989, pp. 606–615.
Beckmann N., Kriegel H.-P., Schneider
R., Seeger B. The R*-tree: An efficient
and robust access method for points and
rectangles. SIGMOD ‘90: Proceedings
of the 1990 ACM SIGMOD international
conference on Management of data, 1990,
pp. 322–331.
White D. A., Jain R. Similarity indexing:
Algorithms and performance. Proc. SPIE
, Storage and Retrieval for Still Image
and Video Databases IV, 1996.
Charikar M., Chekur C., Feder T., Motwani
R. Incremental clustering and dynamic
information retrieval. Proc. of the 29th
Annual ACM Symposium on Theory of
Computing, 1997, pp. 626–635.
Rui Y., Chakrabarti K., Mehrotra S., Zhao
Y., Huang T.S. Dynamic clustering for
optimal retrieval in high dimensional
multimedia databases. University of
Illinois, Department of Computer Science
Technical Report MARS-97-10. Urbana,
IL: Department of Computer Science,
Zhang H.J., D. Zhong. A scheme for visual
feature based image retrieval. Proc. SPIE
, Storage and Retrieval for Image and
Video Databases III, 1995
Deza M.M., Deza E. Encyclopedia of
Distances. Springer; Softcover reprint of
the original 3rd ed. 2014. 753 p.
Mahalanobis P.C. On the generalised
distance in statistics. Proceedings of the
National Institute of Sciences of India,
, vol. 2, No. 1, pp. 49—55.
Patil R.S., Agrawal A.J. Content-based
Image Retrieval Systems: A Survey.
Advances in Computational Sciences and
Technology, 2017, Vol. 10, No. 9, pp. 2773-
Gupta A., Jain R. Visual information
retrieval, Commun. ACM 40 (5) (1997)
–79.
Smith J.R., Chang S.F. VisualSeek:
a fully automatic contentbased query
system, Proceedings of the Fourth ACM
International Conference on Multimedia, 1996, pp. 87–98.
Ma W.Y., Manjunath B. Netra: a toolbox for navigating large image databases, Proceedings of the IEEE International Conference on Image Processing, 1997, pp. 568–571.
Wang J.Z., Li J., Wiederhold G. SIMPLIcity:
semantics-sensitive integrated matching for
picture libraries, IEEE Trans. Pattern Anal.
Mach. Intell. 23 (9) (2001) 947–963.
Smeulders A.W.M, Worring M., Santini
S., Gupta A., Jain R. Content-based image
retrieval at the end of the early years.
IEEE Transactions on Pattern Analysis and
Machine Intelligence. 2000, Vol. 22, No 12,
pp.1349–1380.
Eakins J., Graham M. Content-based image
retrieval, Technical Report, University of
Northumbria at Newcastle, 1999, 59 p.
Ying Liua, Dengsheng Zhanga, Guojun
Lua, Wei-Ying Mab. A survey of content-
based image retrieval with high-level
semantics. Pattern Recognition, Vol. 40,
No. 1, 2007, pp. 262–282
Mussarat Yasmin, Sajjad Mohsin,
Muhammad Sharif. Intelligent Image
Retrieval Techniques: A Survey. Journal of
Applied Research and Technology, 2014,
Vol. 12, No. 1, pp. 87-103
Kherfi M.L., Ziou D., Bernardi A. Image
Retrieval from the World Wide Web:
Issues, Techniques, and Systems, ACM
Computing Surveys, 2004, Vol. 36, No. 1,
pp. 35–67
Popescu A., Grefenstette G. A Conceptual
Approach to Web Image Retrieval.
Proceedings of the International Conference
on Language Resources and Evaluation,
LREC 2008, 2008, pp. 297-304
Berk T., Brownston L., Kaufman A. A new
color-naming system for graphics language.
IEEE Comput. Graphics Appl. 2 (3), 1982,
pp. 37–44.
Stanchev P.L., Green Jr. D., Dimitrov B.
High level color similarity retrieval, Int. J.
Inf. Theories Appl. 10 (3) (2003) 363–369.
Rao A.R., Lohse М. Towards a texture
naming system: identifying relevant
dimensions of texture, IEEE Proceedings
of the Fourth Conference on Visualization,
, pp. 220–227.
Shi R., Feng H., Chua T.-S., Lee C.-H. An
adaptive image content representation and
segmentation approach to automatic image
annotation. International Conference on
Image and Video Retrieval (CIVR), 2004,
pp. 545–554.
Vailaya A., Figueiredo M.A.T., Jain H.J.,
Zhang A.K. Image classification for
content-based indexing. IEEE Transactions
on Image Processing, 2001, Vol. 10, No.1,
pp. 117–130.
Town C.P., Sinclair D. Content-based
image retrieval using semantic visual
categories. Society for Manufacturing
Engineers, Technical Report MV01-211,
Feng H., Chua T.-S. A boostrapping
approach to annotating large image
collection. Workshop on Multimedia
Information Retrieval in ACM Multimedia,
November 2003, pp. 55–62.
MacArthur S.D., Brodley C.E., Shyu C.-
R. Relevance feedback decision trees in
content-based image retrieval. Proceedings
of the IEEE Workshop on Content-Based
Access of Image and Video Libraries
(CBAIVL’00), June 2000, pp. 68–72.
Jain A., Dubes R. Algorithms for Clustering
Data. Englewood Cliffs, NJ: Prentice-Hall,
Baraldi A., Alpaydin М Constructive
feedforward ART clustering networks—
Part I and II. IEEE Trans. Neural Netw.,
vol. 13, no. 3, pp.645–677, May 2002.
Shi J., Malik J. Normalized Cuts and Image
Segmentation. In IEEE Transactions on
Pattern Analysis and Machine Intelligence,
, Vol. 22, pp. 888-905.
Dunn J.C. A Fuzzy Relative of the
ISODATA Process and Its Use in Detecting
Compact Well-Separated Clusters. Journal
of Cybernetics, 1973, Vol. 3, No. 3, pp. 32–
Chen Y., Wang J.Z., Krovetz R. An
unsupervised learning approach to content-
based image retrieval. IEEE Proceedings
of the International Symposium on Signal
Processing and its Applications, July 2003,
pp. 197–200.
Rui Y., Huang T.S., Ortega M., Mehrotra
S. Relevance feedback: a power tool for
interactive content-based image retrieval,
IEEE Trans. Circuits Video Technol. 8 (5)
(1998) 644–655.
Jing F., Li M., Zhang L., Zhang H.-J.,
Zhang B. Learning in regionbased image
retrieval, Proceedings of the International
Conference on Image and Video Retrieval
(CIVR2003), 2003, pp. 206–215.
Smith J.R., Li C.-S. Decoding image
semantics using composite region
templates, IEEEWorkshop on Content-
Based Access of Image and Video Libraries
(CBAIVL-98), June 1998, pp. 9–13.
Zhuang Y., Liu X., Pan Y. Apply semantic
template to support content-based image
retrieval, Proceedings of the SPIE, Storage
and Retrieval for Media Databases, vol.
, December 1999, pp. 442–449.
Chang S.-F., Chen W., Sundaram H.
Semantic visual templates: linking visual
features to semantics, International
Conference on Image Processing (ICIP),
Workshop on Content Based Video Search
and Retrieval, vol. 3, October 1998, pp.
–534.
Zhuang Y, Liu X., Pan Y. Apply semantic
template to support content-based image
retrieval, Proceedings of the SPIE, Storage
and Retrieval for Media Databases, vol.
, December 1999, pp. 442–449.
Kalinichenko L.A. Methods and Tools for
Integration of Heterogeneous Databases
(Rus). Moscow, Nauka, 1983, 424 p.
Smith J.M., Bernstein P.A., Dayal U.,
Goodman N., Landers T., Lin K.W.T., Wong
E. Multibase: Integrating heterogeneous
distributed database systems. In
Proceedings of the May 4-7, 1981, National
Computer Conference (AFIPS ’81). ACM,
New York, NY, USA, pp. 487-499.
Hammer M., McLeod, D. 1979. On
database management system architecture.
Tech. Rep. MIT/LCS/TM-141,
Massachusetts Institute of Technology,
Cambridge, Mass.
Heimbigner D., McLeod, D. (1985). A
Federated architecture for information
management. ACM Transactions on
Information Systems, Volume 3, Issue 3.
pp. 253–278
Veijalainen J., Popescu-Zeletin R. 1988.
Multidatabase systems in ISO/OSI
environment. In Standards in Information
Technology and Industrial Control,
Malagardis, N., and-Williams, T., Eds.
North-Holland. The Netherlands. DD. 83-
Alonso R., Barbara D. 1989. Negotiating
data access in federated database systems.
In Proceedings of the 5th International
Conference on Data Engineering (Feb.),
pp. 56-65.
Heimbigner D., McLeod D. 1985. A
federated architecture for information
management. ACM Transactions on
Information Systems. 3, 3 (July), 253-278.
Du W., Elmagarmid A., Kim W. 1990. Effects of local autonomy on heterogeneous distributed database systems. MCC Tech. Rep. ACT-OODS- EI-059-90, Microelectronics and Computer Technology Corp., Austin Tex.
Garcia-Mоlina H., Kogan B. 1988. Node autonomy in distributed systems. In Proceedings of the International Symposium on Databases in Parallel and Distributed Systems (Austin, Tex., Dec.),
pp. 158-166.
Lenzerini M. Data integration: a theoretical perspective. Proceedings of the 21-st ACM SIGCAT-SIGMOD-SIGART Symposium
on Principles of Database Systems (PODS 2002). NewYork: ACM Press, 2002 ,pp.
–246.
Jer-Wen Huang. 1994. MultiBase: a heterogeneous multidatabase management system. In Proceedings Eighteenth Annual International Computer Software and Applications Conference (COMPSAC 94), рр. 332–339.
Bondiombouy C., Valduriez P. Query processing in multistore systems: an overview. International Journal of Cloud Computing 5.4 (2016): 309-346
Litwin W. 1985. An overview of the multidatabase system MRDSM. In Proceedings of the ACM National Conference (Denver, Oct.), pp. 495-504.
Rusinkiewicz M., Elmasri R., Czejdo B., Georakopoulous D., Karabatis G., Jamoussi A., Loa L., Ll Y. 1989.-OMNIBASE: Design
and implementation of amultidatabase system. In Proceedings of the 1st Annual Symposium in Parallel and Distributed Processing (Dallas, Tex., May), pp. 162- 169.
Jacobson G., Piatetsky-Shapiro G., Lafond
C., Rajinikanth M., Hernandez J. 1988.
CALIDA: A knowledge-based system
for integrating multiple heterogeneous
databases. In Proceedings of the 3rd
International Conference on Data and
Knowledge Bases (Jerusalem, Israel, June),
pp. 3-18.
Litwin W., Boudenant J., Esculier C., Ferrier A., Glorieux A., La Chimia J., Kabbaj K., Moulinoux C., Rolin P., Stangret C. 1982. SIRIUS Systems for Distributed Data Management. In Distributed Data Bases, H.-J. Schneider, Ed. North-Holland, The Netherlands, pp. 311-366.
Dwyer P., Larson J. 1987. Some experiences with a distributed database testbed system. In Proc. IEEE 75, 5 (May), 633-647.
Templeton M., Brill D., Chen A., Dao S., Lund E., McGregor R., Ward P. 1987. Mermaid: A front-end to distributed heterogeneous databases. In Proc. IEEE 75,5 (May), 695-708.
Landers T., Rosenberg R. 1982. An overview of Multibase. In Distributed Databases, H.-J. Schneider, Ed., North- Holland, The Netherlands, pp. 153-184.
Ellinghaus D., Hallmann M., Holtkamp B.,Kreplin K. 1988. A multidatabase system for transaction autonomy. In Proceedings of the International Conference on Extending Database Technology (Venice, Italy, Mar.). In Computer Science, Vol. 303, Springer- Verlag, New York, pp. 600-605.
Veijalainen J., Popescu-Zeletin R. 1988. Multidatabase systems in ISO/OSI environment. In Standards in Information Technology and Industrial Control, Malagardis, N., and-Williams, T., Eds. North-Holland. The Netherlands. DD.-83- 97.
Dayal U., Hwang H. 1984. View definition and generalization for database integration in a multidatabase system. IEEE Trans. Soft. Eng.SE-IO, 6 (Nov.), 628-644.
Belcastro, V., et al. 1988. An overview of the distributed query system D&S. In Proceedings of the International Conference on Extending Data Base Technolozy (Venice, Italv. Mar.). In Computer Science.--Vol. 303,’ Spriger-Verlag, NewYork, pp. 170-189.
Breitbart Y., Silberschatz A. 1988.
Multidatabase update issues. In Proceedings
of the ACM SZGMOD Conference (June),
-142.
Barker K., Ozsu T. 1988. A survey of
issues in distributed heterogeneous
database systems. Tech. Rep. TR 88-9,
Univ. of Alberta Edmonton, Canada.
Litwin W., Zeroual A. 1988. Advances in
multidatabase systems. In Research into
Networks and Distributed Applications
(Proceedings of the EUTECO‘88). Sneth.
R.. Ed. Elsevier Science Publishers’ B.V.,
North-Holland, pp. 1137-1151.
Ram S., Chastain C. 1989. Architecture of
distributed data base systems.Journal of
Systems and Software, Vol. 10, No. 2, pp.
-95.
Siegel M. 1987. A survey on heterogeneous
database systems. Tech. Note 87-174.1,
GTE Laboratories, Waltham, Mass.
Batini C., Lenzerini M., Navathe S. 1986.
A comparative analysis of methodologies
for database schema integration. ACM
Computing Surveys, Vol. 18, No. 4, pp.
-364.
Ford N. Polyglot Programming. - http://
memeagora.blogspot.com/200/12/
polyglot-programming.html, December 05,
Leberknight S. Polyglot Persistence.
- http://www.sleberknight.com/blog/
sleberkn/entry/polyglot_persistence,
October 15, 2008
Harold Lim, Yuzhang Han, and Shivnath
Babu. 2013. How to Fit when No One Size
Fits. In CIDR. www.cidrdb.org.
J. Duggan, A. J. Elmore, M. Stonebraker,
M. Balzinska, B. Howe, J. Kepner, S.
Madden, D. Maier, T. G. Mattson, and S.
B. Zdoni. 2015. The BigDAWG Polystore
System. SIGMOD Record 44, 2 (2015),
–16.
Michael Armbrust, Reynold S. Xin, Cheng
Lian, Yin Huai, Davies Liu, Joseph K.
Bradley, Xiangrui Meng, Tomer Kaftan,
Michael J. Franklin, Ali Ghodsi, and Matei
Zaharia. 2015. Spark SQL: Relational Data
Processing in Spark. In SIGMOD ‘15:
Proceedings of the 2015 ACM SIGMOD
International Conference on Management
of Data, May 2015, рр. 1383–1394.
Garulli L. NoSQL adoption: what’s the next
step. - https://www.slideshare.net/lvca/no-sql-matters2012keynote/47-MultiModel_
storage_12_one_product
Zhen Hua Liu, Jiaheng Lu, Dieter Gawlick,
Heli Helskyaho, Gregory Pogossiant,
Zhe Wu. Multi-Model Database
Management Systems - a Look Forward.
In: Heterogeneous Data Management,
Polystores, and Analytics for Healthcare,
, pp.16-29.
Valter Uotila, Jiaheng Lu. A Formal
Category Theoretical Framework for Multi-
Model Data Transformations. Rezig E.K. et
al. (eds) Heterogeneous Data Management,
Polystores, and Analytics for Healthcare.
DMAH 2021, Poly 2021. Lecture Notes in
Computer Science, vol 12921. pp. 14-28
Henrik Forssell, Håkon Robbestad Gylterud,
David I. Spivak. Type theoretical databases.
Journal of Logic and Computation, Vol. 30,
No 1, January 2020, pp. 217–238
Zaidi E., Heudecker N., Adrian M. Market
Guide for NoSQL DBMSs. - https://www.gartner.com/en/documents/3105622
Jiaheng Lu, Irena Holubová, and Bogdan
Cautis. Multi-model Databases and Tightly
Integrated Polystores: Current Practices,
Comparisons, and Open Challenges. In
CIKM ‘18: Proceedings of the 27th ACM
International Conference on Information and Knowledge ManagementOctober 2018. рр. 2301–2302.
Ewa Pluciennik and Kamil Zgorzalek.
“The Multi-model Databases - A Review”.
BDAS 2017: 141–152.
Fábio Roberto Oliveira, Luis del Val Cura.
“Performance Evaluation of NoSQL Multi-
Model Data Stores in Polyglot Persistence
Applications”. IDEAS ‘16: Proceedings of
the 20th International Database Engineering
& Applications Symposium, July 2016, pp.
–235.
Zhang C., Lu J., Xu P., Chen Y. (2019)
UniBench: A Benchmark for Multi-model
Database Management Systems. In:
Nambiar R., Poess M. (eds) Performance
Evaluation and Benchmarking for the Era
of Artificial Intelligence. TPCTC 2018.
Lecture Notes in Computer Science, vol
Springer, pp 7-23.
Ran Tan, Rada Chirkova, Vijay Gadepally,
and Timothy G. Mattson. 2017. Enabling
query processing across heterogeneous data
models: A survey. 2017 IEEE International
Conference on Big Data (Big Data). 3211–
Jiaheng Lu, Irena Holubová. Multi-model
Databases: A New Journey to Handle the
Variety of Data. ACM Computing Surveys,
Vol. 52, No 3, 2020, Article No.: 55, pp
–38
Aven P., Burley D. Building on Multi-
Model Databases. O’Reilly Media, Inc.,
, 96 p.
B. Kolev, C. Bondiombouy, P. Valduriez,
R. Jimenez-Peris, ´ R. Pau, and J. Pereira,
“The CloudMdsQL multistore system,” in
Proc. ACM International Conference on
Management of Data (SIGMOD’16), 2016,
pp. 2113–2116.
J. Wang, T. Baker, M. Balazinska, D.
Halperin, B. Haynes, B. Howe, D. Hutchison, S. Jain, R. Maas, P. Mehta, D. Moritz, B. Myers, J. Ortiz, D. Suciu, A. Whitaker, S. Xu. The Myria big data management and analytics system and cloud service. The 8th Biennial Conference on Innovative Data Systems Research (CIDR ‘17), 2017.
M. Hausenblas and J. Nadeau, “Apache Drill: Interactive adhoc analysis at scale,” Big Data, vol. 1, no. 2, pp. 100–104, 2013.
A. Simitsis, K. Wilkinson, M. Castellanos,
and U. Dayal . Optimizing analytic data flows for multiple execution engines, In Proc. ACM International Conference on
Management of Data (SIGMOD’12), 2012, pp. 829–840.
I. Gog, M. Schwarzkopf, N. Crooks, M.
P. Grosvenor, A. Clement, and S. Hand,
“Musketeer: all for one, one for all in
data processing systems,” in EuroSys
‘15: Proceedings of the Tenth European
Conference on Computer Systems, April
Article No.: 2, рр. 1–16
D. Agrawal, L. Ba, L. Berti-Equille, S.
Chawla, A. Elmagarmid, H. Hammady, Y.
Idris, Z. Kaoudi, Z. Khayyat, S. Kruse et
al., “Rheem: Enabling multi-platform task
execution,” in Proc. ACM International
Conference on Management of Data
(SIGMOD’16), 2016, pp. 2069–2072.
DOI: https://doi.org/10.15407/pp2023.01.066
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