The web of data is a web vision in which data are represented into RDF and interlinked to each other. The fast growth of linked data motivates researchers to exploit this huge amount of well-represented data in linked data cloud. Moreover, finding the implicit answers is important to enable web agent to understand deeply web data. This paper proposes a SPARQL endpoint wrapper to enable original...

We propose a simple but generally applicable approach to improving the accuracy of automatic image segmentation algorithms relative to manual segmentations. The approach is based on the hypothesis that a large fraction of the errors produced by automatic segmentation are systematic, i.e., occur consistently from subject to subject, and serves as a wrapper method around a given host segmentation...

Distributed systems require declarative access to diverse information sources. One approach to solving this heterogeneous distributed database problem is based on mediator architectures. In these architectures, mediators accept queries from users, process them with respect to wrappers, and return answers. Wrapper provide access to underlying sources. To eeciently process queries, the mediator m...

The number of data source on internet has increased in volume and type since the last decade, causing problems to query the data or information because of the diversity, dynamic and heterogeneity of the data source or information. Therefore, to simplify the task of obtaining information, several tools have been created for extracting the data from multiple web sources, including Wrapper. Wrappe...

Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filter methods. The filter methods are generally considered inferior to wrapper methods, however wrapper methods are computationally more demanding than filter methods. A novel filter feature selection method based on mutu...

In order to let software programs gain full benefit from semi-structured web sources, wrapper programs must be built to provide a “machine-readable” view over them. A significant problem in this approach arises as Web sources may undergo changes that invalidate the current wrappers. In this paper, we present novel heuristics and algorithms to address this problem. In our approach the system col...

Subsampling of received wireless signals is important for relaxing hardware requirements as well the computational cost signal processing algorithms that rely on output samples. We propose a subsampling technique to facilitate use deep learning automatic modulation classification in communication systems. Unlike traditional approaches pre-designed strategies are solely based expert knowledge, p...

In this paper, we propose a new feature selection approach with partially labeled training examples in the multi-class classification setting. It is based on modification of genetic algorithm that creates and evaluates candidate subsets during an evolutionary process, taking into account weights recursively eliminating irrelevant features. To increase variety data, unlabeled observations are em...

We onsider the problem of assembling on urrent software systems from untrusted or partially trusted off-theshelf omponents, using wrapper programs to en apsulate omponents and enfor e se urity poli ies. In previous work we introdu ed the boxpro ess al ulus with onstrained intera tion to express wrappers and dis ussed the rigorous formulation of their se urity properties. This paper addresses th...