In this paper, we report on a case study conducted with the MASTRO-I system at SELEX Sistemi Integrati, a world’s leading company in the provision of integrated defence and air traffic systems. MASTRO-I is a tool for ontology-based data integration that combines advanced services for reasoning over ontologies with the capabilities provided by relational data federation tools, used for wrapping ...

NEESgrid, the system integration of the NEES research collaboratory, uses recent advances in Information Technologies for modeling the data sets and experimental processes generated at the NEES testing sites. NEESgrid describes experimental results and processes using object-oriented data models expressed in NEESML, the NEES Metadata Language, which is a subset of RDF (Resource Descriptor Frame...

We present a novel methodology for manipulating sources in a knowledge integration scenario. First we define and exploit an appropriate data model – Knowledge Oriented Specification – for representing and querying the data sources without having to align their background knowledge. Second we propose a structured knowledge representation formalism – Layered Conceptual Graphs – which present the ...

Distributed Data Mining is the process of extracting hidden knowledge from distributed data sources. A number of DDM architectures are proposed during the last few years. Recently, Optimized Incremental Knowledge Integration Distributed Data Mining model is proposed. It is a mobile-agent based model that overcomes the drawbacks of the traditional models. In this paper, the classification mining...

Users of geographic databases that integrate spatial data represented in vector and raster models, should not perceive the differences among the data models in which data are represented, nor should they be forced to apply different concepts depending on the model in which spatial data are represented. A crucial aspect of spatial query languages for such integrated systems is the need mechanism...

Ensembles of classifier models typically deliver superior performance and can outperform single classifier models given a dataset and classification task at hand. However, the gain in performance comes together with the lack in comprehensibility, posing a challenge to understand how each model affects the classification outputs and where the errors come from. We propose a tight visual integrati...

The amount of sensors publishing data on the Web is increasing as a result of theonline availability of Sensor Web platforms that provide support for this task. With suchincrease in sensor data publication, new challenges arise for the identification, discovery andaccess to this data. Following the set of best practices to publish and link structured data onthe web proposed by t...

In Internet, various kinds of data in variety of forms are stored. After obtaining data from distributed sites, we have to integrate them. One of the serious problem is how to integrate data in di erent structures. In this paper we will develop a form model for such a purpose. Since data structure is designed in order to reduce the complexities of the result, the structure re ects semantic cons...

The objective of this study was to investigate the relationship between regional firm performance and supply chain integration practices. In addition to literature survey, the primary data collection instrument used was a questionnaire which was administrated to a total sample of 200 industry experts, administrative officers, functional department heads and directors, the industry managing dire...