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S. Muralidhar

dblp:69/3887 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data models and query languages · 50% Data integration and cleaning · 50%
Software engineering, system software, and programming languages
1 paper
Services computing and microservices · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages › entity-relationship model
entity data model
0.112007
Anatomy of the ADO.NET entity framework · SIGMOD Conference 2007
Data integration and cleaning › schema mapping
object-relational mapping
0.112007
Anatomy of the ADO.NET entity framework · SIGMOD Conference 2007
YearPublicationVenuePosition
2007 Anatomy of the ADO.NET entity framework
abstract
Traditional client-server applications relegate query and persistence operations on their data to database systems. The database system operates on data in the form of rows and tables, while the application operates on data in terms of higher-level programming language constructs (classes, structures etc.). The impedance mismatch in the data manipulation services between the application and the database tier was problematic even in traditional systems. With the advent of service-oriented architectures (SOA), application servers and multi-tier applications, the need for data access and manipulation services that are well-integrated with programming environments and can operate in any tier has increased tremendously. Microsoft‘s ADO.NET Entity Framework is a platform for programming against data that raises the level of abstraction from the relational level to the conceptual (entity) level, and thereby significantly reduces the impedance mismatch for applications and data-centric services. This paper describes the key aspects of the Entity Framework, the overall system architecture, and the underlying technologies. Categories and Subject Descriptors:
Atul Adya, José A. Blakeley, Sergey Melnik 0001, S. Muralidhar
SIGMOD Conference4
2006 The ADO.NET Entity Framework: Making the Conceptual Level Real
José A. Blakeley, S. Muralidhar, Anil K. Nori
ER2