Abstract | ||
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The traditional approach to relational database design starts with the conceptual design of an application based schema in a model like the Entity-relationship model, then mapping that to a logical design and eventually representing it as a set of related normalized tables. The project we present has been motivated by needs of healthcare-IT where small group practices are currently in need of systems that will cater to their dynamic requirements without depending on EMR (Electronic Medical Record) systems. It is also relevant for researchers for mining huge repositories of data such as social networks, etc. and create extracts of data on the fly for data analytics. Based on user characteristics and needs, the data is likely to vary and hence, a dynamic back-end database must be created. This paper addresses a form-based approach to schema creation and modification. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1007/978-3-319-07881-6_40 | ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2014) |
Keywords | Field | DocType |
Dynamic user interface,Schema modification,Dynamic form generator,Schema evolution | Data mining,Conceptual schema,Database model,Computer science,Semi-structured model,View,Database schema,Database design,Information schema,Schema evolution | Conference |
Volume | ISSN | Citations |
8484 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 7 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kunal Malhotra | 1 | 8 | 1.82 |
Shibani Medhekar | 2 | 1 | 0.35 |
Shamkant Navathe | 3 | 4563 | 2112.44 |
M. D. David Laborde | 4 | 1 | 0.35 |