The Abstract Data Model (ADM) was developed by Sanderson [19] to model and predict semantic loss in data translation between computer languages. In this work, the ADM was applied to eight languages that were not considered as part of the original work. Some of the languages were found to support semantic features, such as the restriction semantics for inheritance found in languages like XML Schemas and Java, which could not be represented in the ADM. A proposal was made to extend the ADM to support these semantic features, and the requirements and implications of implementing that proposal were considered
Business are increasingly analyzing streaming data in real time to achieve business objectives such ...
The academic program The Intensive English Language Program (IELP) at the University of New Orleans ...
The main aim of this project is to provide a well-structured database for storing information about ...
The emergence of the Linking Open Data Cloud (LODC) is an example of the adoption of Linked Data pri...
We have developed a framework to support development of ontology based Web applications. This framew...
A central problem faced in distributed data storage and in peer to peer applications is the efficien...
Considerable work in the past decade has focused on representational accounts of how semantic inform...
A process allowing for the intuitive use of SQL queries on dense multidimensional data stored in Ne...
This project is connected to the SMILE project at the University of Agder. In order to deal with th...
Abstract: The partial information rational expectations solution to a general linear multivariate ex...
The objective of this study was to explore improved robust metrics for the selection and evaluation ...
Modern GIS applications for transportation and defense often require the ability to store the evolv...
In the current economic climate, bridge managers are continually working to maximize the impact of e...
Abstract Data Types (ADTs) are a powerful conceptual and practical device for building high-quality ...
Terminal Procedure Charts are a constantly updated and necessary tool for aircraft personnel to appr...
Business are increasingly analyzing streaming data in real time to achieve business objectives such ...
The academic program The Intensive English Language Program (IELP) at the University of New Orleans ...
The main aim of this project is to provide a well-structured database for storing information about ...
The emergence of the Linking Open Data Cloud (LODC) is an example of the adoption of Linked Data pri...
We have developed a framework to support development of ontology based Web applications. This framew...
A central problem faced in distributed data storage and in peer to peer applications is the efficien...
Considerable work in the past decade has focused on representational accounts of how semantic inform...
A process allowing for the intuitive use of SQL queries on dense multidimensional data stored in Ne...
This project is connected to the SMILE project at the University of Agder. In order to deal with th...
Abstract: The partial information rational expectations solution to a general linear multivariate ex...
The objective of this study was to explore improved robust metrics for the selection and evaluation ...
Modern GIS applications for transportation and defense often require the ability to store the evolv...
In the current economic climate, bridge managers are continually working to maximize the impact of e...
Abstract Data Types (ADTs) are a powerful conceptual and practical device for building high-quality ...
Terminal Procedure Charts are a constantly updated and necessary tool for aircraft personnel to appr...
Business are increasingly analyzing streaming data in real time to achieve business objectives such ...
The academic program The Intensive English Language Program (IELP) at the University of New Orleans ...
The main aim of this project is to provide a well-structured database for storing information about ...