TL;DR: A big data infrastructure that can be used to query, browse, analyze and process digital contents related to cultural heritage from a set of heterogeneous and distributed repositories, and can support several applications.
TL;DR: In this article, a system and method are provided for enabling Web services to enforce multiple countries' data protection laws and regulations during data collection, data processing storage and data transfer. But the system does not address the problem of privacy protection.
Abstract: A system and method are provided for enabling Web services to enforce multiple countries' data protection laws and regulations during data collection, data processing storage and data transfer. The system maintains a dynamic list of countries or entities that have been recognized for their adequate data protection. A data collection form is provided that takes into consideration data protection laws of the sovereign in which the form is being filled out. The system prohibits the transfer of personal data in contravention of a local sovereign's data protection laws.
TL;DR: An integrated web data services that satisfy fast response time for large scale Tele-health database management systems and significantly improves the performance of web database systems and outperforms its counterparts are built.
Abstract: Many web computing systems are running real time database services where their information change continuously and expand incrementally. In this context, web data services have a major role and draw significant improvements in monitoring and controlling the information truthfulness and data propagation. Currently, web telemedicine database services are of central importance to distributed systems. However, the increasing complexity and the rapid growth of the real world healthcare challenging applications make it hard to induce the database administrative staff. In this paper, we build an integrated web data services that satisfy fast response time for large scale Tele-health database management systems. Our focus will be on database management with application scenarios in dynamic telemedicine systems to increase care admissions and decrease care difficulties such as distance, travel, and time limitations. We propose three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach reduces the amount of data migrated between websites during applications’ execution; achieves cost-effective communications during applications’ processing and improves applications’ response time and throughput. The proposed approach is validated internally by measuring the impact of using our computing services’ techniques on various performance features like communications cost, response time, and throughput. The external validation is achieved by comparing the performance of our approach to that of other techniques in the literature. The results show that our integrated approach significantly improves the performance of web database systems and outperforms its counterparts.
TL;DR: In this article, a distributed and fast data storage layer for large scale web data services is proposed, which includes storing web related data for a plurality of merchants in the distributed storage layer; and copying on demand a data store and a search index for web-related data for the first merchant.
Abstract: Techniques for providing a distributed and fast data storage layer for large scale web data services are disclosed In some embodiments, a distributed data storage layer for web data services includes storing web related data for a plurality of merchants in the distributed data storage layer; and copying on demand a data store and a search index for web related data for a first merchant to perform a job for updating the web related data for the first merchant
TL;DR: An application of discussed data management pervasive technologies for a cultural heritage smart scenario is shown by describing the PATCH (Portable context-aware ATlas for Cultural Heritage) system—a “portable” prototype of a multimedia and social “atlas” of cultural points of interest, in which browsing is driven by the context.
Abstract: In this final chapter, we show an application of discussed data management pervasive technologies for a cultural heritage smart scenario by describing the PATCH (Portable context-aware ATlas for Cultural Heritage) system—a “portable” prototype of a multimedia and social “atlas” of cultural points of interest, in which browsing is driven by the context. The system is characterized by several features typical of pervasive systems: (1) capability of gathering information from distributed and heterogeneous pervasive data sources (e.g., sensor networks, social networks, digital libraries and archives, multimedia collections, web data services, etc.); (2) context awareness and, consequently, ability of providing useful and personalized data and services for users on the basis of their preferences and of the surrounded environment; (3) advanced data management techniques and technologies necessary to deal with the information variety, velocity, and volume; and (4) advanced smart services as retrieval, recommendation, analytics, and other utilities. A specific application of our system within DATABENC is proposed by means of a real case study related to the Paestum Ruins.