Geometric modeling
An analysis of geometric modeling in database systems
ACM Computing Surveys (CSUR)
Analysis of object oriented spatial access methods
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
The design and analysis of spatial data structures
The design and analysis of spatial data structures
Computer Vision, Graphics, and Image Processing
Algebraic support for complex objects with arrays, identity, and inheritance
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Illumination for computer generated pictures
Communications of the ACM
A procedure for generation of three-dimensional half-toned computer graphics presentations
Communications of the ACM
PICQUERY: A High Level Query Language for Pictorial Database Management
IEEE Transactions on Software Engineering
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Database Support for Multidimensional Discrete Data
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Valences: A new Relationship Concept for the Entity-Relationship Model
Proceedings of the Eight International Conference on Enity-Relationship Approach to Database Design and Querying
Evaluation of Complex Cardinality Constraints
ER '92 Proceedings of the 11th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Data models in geographic information systems
Communications of the ACM
Query processing techniques for arrays
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
The RasDaMan approach to multidimensional database management
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
An introduction to spatial database systems
The VLDB Journal — The International Journal on Very Large Data Bases - Spatial Database Systems
Spatial Databases-Accomplishments and Research Needs
IEEE Transactions on Knowledge and Data Engineering
Geo/Environmental and Medical Data Management in the RasDaMan System
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Database Array Algebra for Spatio-Temporal Data and Beyond
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Query processing techniques for arrays
The VLDB Journal — The International Journal on Very Large Data Bases
Index-based multidimensional array queries: safety and equivalence
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Towards integrated and efficient scientific sensor data processing: a database approach
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Designing a Geo-scientific Request Language - A Database Approach
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Efficient Map Portrayal Using a General-Purpose Query Language
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
A data and query model for streaming geospatial image data
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
The array database that is not a database: file based array query answering in rasdaman
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
TeraPro, a system for processing large biomedical images
Pattern Recognition and Image Analysis
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Spatial database management involves two main categories of data: vector and raster data. The former has received a lot of in-depth investigation; the latter still lacks a sound framework. Current DBMSs either regard raster data as pure byte sequences where the DBMS has no knowledge about the underlying semantics, or they do not complement array structures with storage mechanisms suitable for huge arrays, or they are designed as specialized systems with sophisticated imaging functionality, but no general database capabilities (e.g., a query language). Many types of array data will require database support in the future, notably 2-D images, audio data and general signal-time series (1-D), animations (3-D), static or time-variant voxel fields (3-D and 4-D), and the ISO/IEC PIKS (Programmer's Imaging Kernel System) BasicImage type (5-D). In this article, we propose a comprehensive support of multidimensional discrete data (MDD) in databases, including operations on arrays of arbitrary size over arbitrary data types. A set of requirements is developed, a small set of language constructs is proposed (based on a formal algebraic semantics), and a novel MDD architecture is outlined to provide the basis for efficient MDD query evaluation.