Schema Matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, Semantic web [2] and schema integration. This task is defined for finding the Semantic correspondences between elements of two schemas. Recently, schema Matching has found considerable interest in both research and practice. In this paper, we present a new improved solution for schema Matching problem. An improvement hybrid Semantic schema Matching algorithm which semi automatically finds Matching between two data representation schemas is introduced. The algorithm finds mappings based on the hierarchical organization of the elements of a term WordNet dictionary.

In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of Semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy Semantic Matching. In this study, the procedure of WSPolicy publishing in the UDDI registry was also described. The approach, which is used to represent the policies, is thus represented as Semantic trees, and in this representation, measurable quality attributes are considered; and the certain Matching operations are used to identify the similarity match via match function or similarity distance function. The illustration of Semantic concepts and rules during policy Matching, which is not possible by using a mere Semantic concept, leads to better web service matches. The proposed approach has been validated through various tests that can evaluate the similarity of large and arbitrary sets of measurable quality attributes. We also compared the proposed procedure with the other ones. The proposed procedure for web service choose, which uses WS-Policy Semantic Matching, can be more effective to solve different problems like selection, composition, and substitution of services.

The traditional method for studying non-stationary signals is spectrogram based on the short-time Fourier transform (STFT). The well known limitation of the STFT is the inherent trade-off between time and frequency resolution. The Wigner-Ville (WV) distribution has the best time-frequency resolution, but its draw back is generating cross-terms. The Matching pursuit (MP) distribution based on using the Gaussian atom is always positive, does not include crossterm, and has convenient resolution. In this paper, we have shown in addition to the known properties, the MP distribution can also remove the additive noise inherently. On the other words, we are able to remove the noise just by limiting the algorithm iterations and without paying any additional cost. Although the MP distribution based on using the Gaussian atoms is always positive and it has convenient resolution, according to the MP the time marginal and the frequency marginal will not be obtained accurately. In this paper, it has been shown that by implementing the minimum cross entropy (MCE) technique according to the MP distribution as a priory positive distribution, the new extracted distribution has the most similarity to the MP distribution and it also satisfies the correct time and frequency marginal.

Language in general and the Holy Qur’an as a special language in particular, have an auditive nature. Formation and learning of a language in its natural manner, still continuing through successive generations in human history, have the same nature. Every language has also its own sound and melody, which in many cases, the proportion of sound and meaning are verifiable. The special language of the Holy Qura’n, dosen’t do exception in this regard. This language, being a divine and compulsory collection (by the Book and Sunnah), follows this order in many cases. So, the study of this aspect of the Qura’n’s language is important and has notable results. This paper studies the concordance existing between Quranic words, phrases, ayas and their meanings in eighteen Suras of the Holy Qura’n.

Objective: The present study aimed to assess the Semantic processing of spoken and written words in Persian-speaking adolescents with cerebral palsy comparing to healthy adolescents. Method: The research is quantitative in terms of type, and experimental in terms of method. The statistical population consisted of 30 healthy adolescents and 30 adolescents with cerebral palsy living in Tehran City, Iran. The examination group included 17 girls and 13 boys (aged 10-15 years) who were selected by convenience sampling method. All of them were spastic. Spoken and written word-picture Matching tests (47) and (48) were used. For the control group, 30 healthy adolescents were selected according to the gender, age and education of adolescents with cerebral palsy to assess the subjects’,vocabulary abilities. The tests were performed on the subjects one week apart. Results: The ability of adolescents with cerebral palsy in Semantic processing of spoken and written words was significantly weaker than that of the healthy adolescents. Furthermore, the development of spoken and written word patterns in the adolescents with cerebral palsy was delayed comparing to the healthy adolescents. Conclusion: Data analysis revealed that vocabulary network and perceptual impairments are the main causes of weak Semantic processing of spoken and written words in adolescents with cerebral palsy, however, their perceptual impairment is far greater than vocabulary network impairment.

< p >The various subject matters of jurisprudence (Fiqh) contain many religious laws limited by legal measures. In these cases, the correct recognition of the fulfillment of legal measure and the way it is performed by religiously competent person is an important matter. Four theories can be driven from the expressions of the jurists in this regard including rational precision, customary precision, customary negligence and statement in detail. When it is the matter of limitation, the customary precision is the criterion for recognition of duty, but considering the way of its performance the customary accuracy is acceptable. In addition, considering the recognition of the concept of measure, the customary negligence is considered to be harmless, but considering adapting an example to the concepts, it is not acceptable. Alongside these matters, scientific and experimental precision can also be studied. While quoting and criticizing the statements, this article prefers the statement in detail. In most cases, there is a deliberation and insistence on strict observance of the specified limits in the word of divine law which indicates the importance of a particular amount in the view of the Legislator and the tolerance thereof is rejected. However, in some cases, the method of confinement may be discovered from the language of reason or other evidences and that the substantiation of a particular amount is the detector of the actual realization of the subject of religious law. Therefore, in those cases, accuracy is not demanded.

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of Semantic web and their heterogeneities have led to the existence of ontology Matching. By emerging large-scale ontologies in real domain, the ontology Matching systems faced with some problem like memory consumption. Therefore, partitioning the ontology was proposed. In this paper, a new clustering method for the concepts within ontologies is proposed, which is called SeeCC. The proposed method is a seeding-based clustering method which reduces the complexity of comparison by using clusters’ seed. The SeeCC method facilitates the memory consuming problem and increases their accuracy in the large-scale Matching problem as well. According to the evaluation of SeeCC's results with Falcon-AO and the proposed system by Algergawy accuracy of the ontology Matching is easily observed. Furthermore, compared to OAEI (Ontology Alignment Evaluation Initiative), SeeCC has acceptable result with the top ten systems.