In the Semantic Web, knowledge integration is frequently performed between heterogeneous knowledge bases. Such knowledge integration often requires the schema expressed in one knowledge modelling language be translated into an equivalent schema in another knowledge modelling language. This paper defines how schemas expressed in OWL-DL (the Web Ontology Language using Description Logic) can be t...

Despite its benefit in a wide range of applications, data mining techniques also have raised a number of ethical issues. Some such issues include those of privacy, data security, intellectual property rights, and many others. In this paper, we address the privacy problem against unauthorized secondary use of information. To do so, we introduce a family of geometric data transformation methods (...

We consider model-based prediction of a finite population total when a monotone transformation of the survey variable makes it appropriate to assume additive, homoscedastic errors. As the transformation to achieve this does not necessarily simultaneously produce an easily parameterized mean function, we assume only that the mean is a smooth function of the auxiliary variable and estimate it non...

DiSTiL is a software generator that implements a declarative domain-specific language (DSL) for container data structures. DiSTiL is a representative of a new approach to domain-specific language implementation. Instead of being the usual one-of-a-kind standalone compiler, DiSTiL is an extension library for the Intentional Programming (IP) transformation system (currently under development by M...

Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering without jeopardizing the similarity between objects under analysis. In this short paper, we revisit a family of geometric data transformation methods (GDTMs) that distort numerical attributes by translations, scalings,...

Data obtained from the scientific experiments are heterogeneous and distributed. They are stored in different file formats so it is difficult to be integrated, analyzed, and processed. The aim of this paper is to propose an ontology dependent approach to transform XML based scientific data description into RDF instances in order to using them as a complete resource on the Semantic Web. The tran...

Articulatory position data is information about the location of various articulators in the vocal tract. One form of it has been made freely available in the MOCHA database [1]. This data is interesting in that it provides direct information on the production of speech, but there is the question of whether it actually provides information beyond what can be derived from the audio signal, which ...

Data transformation involves the manual construction of large numbers of special-purpose programs. Although typically small, such programs can be complex, involving problem decomposition, recursion, and recognition of context. Building such programs is common in commercial and academic data analytic projects and can be labour intensive and expensive, making it a suitable candidate for machine l...

Classical dimensional modeling aims for simple data warehouse designs in order to make the job of the end user and the DBMS easier. This paper describes a different approach aimed at simplifying data extraction, transformation, and loading tasks. Our design approach avoids and isolates changes to source data tables by surrounding them with helper-views. Each helper-view specializes in a single ...