In such contexts as the Semantic Web, the components of an application increasingly rely on ontological models and content knowledge developed and maintained by independent contributors. These components also are designed to be building blocks of various applications. We advocate the use of a mediating component that defines and processes the knowledge transformations required to enable applica...

We developed, using structures from MV-SIS, an application dedicated to K-LUT based FPGA synthesis, named Xsynth. Main component of it, levelMap the mapping program, was implemented using the minDepth algorithm. The mapping program was instrumented in order to study and evaluate different heuristics involved in establishing best approach to find optimum delay and optimal area mapping. We did ru...

One of the most important challenges to be addressed when establishing an integrated smart health environment is the availability of shareable health data and knowledge which standardize the interoperability of components within the environment. Health ontologies are commonly utilized to enable interoperability between applications in such environment. However, the dynamic nature of health know...

Object-relational (O/R) middleware is frequently used in practice to bridge the semantic gap (the ‘impedance mismatch’) between object-oriented application systems and relational database management systems (RDBMSs). If O/R middleware is employed, the object model needs to be linked to the relational schema. Following the socalled forward engineering approach, the developer is faced with the ch...

A framework for studying QOS mapping between various levels in the information transport protocol stack and a platform for evaluating the mapping rules by performing concurrent network and application level measurements of QOS are presented. An empirical loss mapping rule between the application (frame) level and network (cell) level is given. The rule was tested using two 10 minutes motion JPE...

The asynchronous iteration model, called AIAC, has been proven to be an efficient solution for heterogeneous and distributed architectures. An efficient mapping of application tasks is essential to reduce their execution time. In this paper we present a new mapping algorithm, called MAHEVE (Mapping Algorithm for HEterogeneous and Volatile Environments) which is efficient on such architectures a...

The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is di...

This paper presents a distributed information extraction and visualisation service, called the mapping service, for maximising information return from large-scale wireless sensor networks. Such a service would greatly simplify the production of higher-level, information-rich, representations suitable for informing other network services and the delivery of field information visualisations. The ...

Building applications over Linked Data often requires a mapping between the application model and the ontology underlying the source dataset in the Linked Data cloud. This mapping can be defined in many ways. For instance, by describing the application model as a view over the source dataset, by giving mappings in the form of dependencies between the two datasets, or by inference rules that inf...