Topic
Data modeling
About: Data modeling is a research topic. Over the lifetime, 29624 publications have been published within this topic receiving 470187 citations.
Papers published on a yearly basis
Papers
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Book•
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TL;DR: A data model, called the entity-relationship model, is proposed that incorporates some of the important semantic information about the real world and can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model.
Abstract: A data model, called the entity-relationship model, is proposed. This model incorporates some of the important semantic information in the real world. A special diagramatic technique is introduced as a tool for data base design. An example of data base design and description using the model and the diagramatic technique is given. Some implications on data integrity, information retrieval, and data manipulation are discussed.The entity-relationship model can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model. Semantic ambiguities in these models are analyzed. Possible ways to derive their views of data from the entity-relationship model are presented.
5,871 citations
Book•
[...]
TL;DR: Fundamentals of Database Systems combines clear explanations of theory and design, broad coverage of models and real systems, and excellent examples with up-to-date introductions to modern database technologies.
Abstract: From the Publisher:
Fundamentals of Database Systems combines clear explanations of theory and design, broad coverage of models and real systems, and excellent examples with up-to-date introductions to modern database technologies. This edition is completely revised and updated, and reflects the latest trends in technological and application development. Professors Elmasri and Navathe focus on the relational model and include coverage of recent object-oriented developments. They also address advanced modeling and system enhancements in the areas of active databases, temporal and spatial databases, and multimedia information systems. This edition also surveys the latest application areas of data warehousing, data mining, web databases, digital libraries, GIS, and genome databases. New to the Third Edition
Reorganized material on data modeling to clearly separate entity relationship modeling, extended entity relationship modeling, and object-oriented modeling Expanded coverage of the object-oriented and object/relational approach to data management, including ODMG and SQL3 Uses examples from real database systems including OracleTM and Microsoft AccessAE Includes discussion of decision support applications of data warehousing and data mining, as well as emerging technologies of web databases, multimedia, and mobile databases Covers advanced modeling in the areas of active, temporal, and spatial databases Provides coverage of issues of physical database tuning Discusses current database application areas of GIS, genome, and digital libraries
4,212 citations
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TL;DR: IMOD is useful for studying and modeling data from tomographic, serial section, and optical section reconstructions and allows image data to be visualized by several different methods.
Abstract: We have developed a computer software package, IMOD, as a tool for analyzing and viewing three-dimensional biological image data. IMOD is useful for studying and modeling data from tomographic, serial section, and optical section reconstructions. The software allows image data to be visualized by several different methods. Models of the image data can be visualized by volume or contour surface rendering and can yield quantitative information.
4,054 citations
Book•
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01 Jan 1998
TL;DR: This paper aims to provide a history of fuzzy logic in information handling and geostatistics and some of the techniques used to deal with fuzzy logic problems.
Abstract: 1. Geographical Information: Society, Science, and Systems 2. Data models and axioms: Formal abstractions of reality 3. Geographical Data in the Computer 4. Data input, verification, storage and output 5. Creating continuous surfaces from point data 6. Optimal interpolation using geostatistics 7. The analysis of discrete entities in space 8. Spatial analysis using continuous fields 9. Errors and quality control 10. Error propagation in numerical modelling 11. Fuzzy sets and fuzzy geographical objects 12. Current issues and trends in GIS APPENDIX 1 GLOSSARY OF TERMS APPENDIX 2 A SELECTION OF WORLD WIDE WEB GEOGRAPHY AND GIS SERVERS APPENDIX 3 EXAMPLE DATA SETS
3,773 citations
[...]
TL;DR: A data model, called the entity-relationship model, which incorporates the semantic information in the real world is proposed, and a special diagramatic technique is introduced for exhibiting entities and relationships.
Abstract: A data model, called the entity-relationship model, is proposed. This model incorporates some of the important semantic information about the real world. A special diagrammatic technique is introduced as a tool for database design. An example of database design and description using the model and the diagrammatic technique is given. Some implications for data integrity, information retrieval, and data manipulation are discussed.The entity-relationship model can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model. Semantic ambiguities in these models are analyzed. Possible ways to derive their views of data from the entity-relationship model are presented.
3,690 citations