Practical applications are generally interdisciplinary in nature. The technology is well matured for addressing individual discipline applications and not for interdisciplinary ap...
rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
— Software is often constructed using a layered approach to encapsulate various functionality in corresponding layers. Individual requirements of each layer demand layer specifi...
Michael Thonhauser, Gernot Schmoelzer, Christian K...
Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribut...
Rafik Bouaziz, Salem Chakhar, Vincent Mousseau, Su...
Abstract-- The paper details a scheme for lossless compression of short data series larger than 50 Bytes. The method uses arithmetic coding and context modeling with a low-complexi...
Data integration systems provide a uniform query interface (UQI) to multiple, autonomous data sources [4]. This paper presents the universal data model (UDM) that captures the sem...
Background: We present 2DDB, a bioinformatics solution for storage, integration and analysis of quantitative proteomics data. As the data complexity and the rate with which it is ...
The data model of an application, the nature and format of data stored across executions, is typically a very rigid part of its early specication, even when prototyping, and chang...
—Architectural Design Decisions (ADD) form a key element of Architectural Knowledge (AK), which plays a vital role in the software architecture process. To help manage ADDs, seve...
This paper presents, fromthe author's perspective, the problems that occur in practice during data modelling. The author's experiences are a result of a considerable num...