the study aimed to evaluate the correlation of maladjusted schema and locus of control with ocd, with the emphasis on cognitive approach to ocd.in this study, 273 iranian participants were selected; of whom, 30% were male and 70% were female. participants' age ranged from 19 to 34 and the mean age for the sample was 23.42(sd=2.46). participants completed questionnaire batteries including measur...

The Linking Open Data(LOD) cloud is a collection of linked Resource Description Framework (RDF) data with over 26 billion RDF triples. Consuming linked data is a challenging task because each data set in the LOD cloud has specific ontology schema, and familiarity with ontology schema is required in order to query various linked data sets. However, manually checking each data set is time-consumi...

The world of spatial data is split into individual data source islands that have different thematic or spatial focuses. When attempting to integrate those data sources, severe challenges arise, since for most GIS application domains a spatial integration schema does not exist. This is also true for the newly emerging domain of mobile, context-aware applications. Since the users of these systems...

Spatial Data warehouses pose many challenging requirements with respect to the design of the data model due to the nature of analytical operations and the nature of the views to be maintained by the spatial warehouse. The first challenge is due to the multi-dimensional nature of each dimension itself. In a traditional data warehouse the various dimensions contributing to the warehouse data are ...

Today schema matching is a basic problem in almost every data intensive distributed application, namely enterprise information integration, collaborating web services, ontology based agents communication, web catalogue integration and schema based P2P database systems. There has been a plethora of algorithms and techniques researched in schema matching and integration for data interoperability....

Semantic heterogeneity caused by the use of different ontologies to describe the same topics represents an obstacle for many data integration tasks on the Web of Data, in particular, discovering relevant repositories for interlinking and comparing repositories with respect to the coverage of specific domains. To facilitate these tasks, mappings between schema terms are needed alongside the link...

Interface modeling & extraction is a fundamental step in building a uniform query interface to a multitude of databases on the Web. Existing solutions are limited in that they assume interfaces are flat and thus ignore the inherent structure of interfaces, which then seriously hampers the effectiveness of interface integration. To address this limitation, in this chapter, we model an interface ...

We proposed a model suggesting how national goals for socializing children moderate the contributions made by the individual’s level of in-group trust and out-group trust to his/her level of trust in most people, viz., non-specific trust. Consistent with our hypotheses, a two-level HLM analysis of representative data across 49 countries from the World Values Survey (2005-2007) indicates that th...

Today schema matching is a basic problem in almost every data intensive distributed application, namely enterprise information integration, collaborating web services, ontology based agents communication, web catalogue integration and schema based P2P database systems. There has been a plethora of algorithms and techniques researched in schema matching and integration for data interoperability....

Semantic heterogeneity caused by the use of different ontologies to describe the same topics represents an obstacle for many data integration tasks on the Web of Data, in particular, discovering relevant repositories for interlinking and comparing repositories with respect to the coverage of specific domains. To facilitate these tasks, mappings between schema terms are needed alongside the link...