Jedrzej Rybicki, Daniel Kurzawe, Danah Tonne, Rainer Stotzka, Volker Hartmann, Bernhard Neumair, Thomas Jejkal, Beatriz Sanchez Bribian, H. Pasic, Achim Streit, Philipp Vanscheidt, Tibor K´lm´n, Andrea Rapp, and Ariel Garcia
World Wide Web, Computer science, Multimedia, computer.software_genre, computer, The arts, Research data, Computer data storage, business.industry, business, Humanities, Architecture, Distributed database, and Scriptorium
Digital methods and collaborative research in virtual research environments are gaining in importance for the arts and humanities. The EU-funded project DARIAH aims to enhance and support digitally-enabled research across these disciplines. The most basic but nevertheless fundamental task of DARIAH is to provide sustainable storage for research data. Information contained in data like images, texts or music needs to be secured and to remain accessible even if the original information carrier becomes lost or corrupted. The heterogeneity of the humanistic data and the need for distributed, perform ant access are the main challenges in designing an archiving system for the arts and humanities. Using the "Virtual Scriptorium", a digitisation project in Trier, Germany, this paper exemplary identifies the humanistic researchers' storage needs and derives requirements for an infrastructure. As a solution, a generic architecture for a federated data zone based on the iRODS technologies is proposed. The system implemented in Trier and Karlsruhe is described and will be extended to other locations as the researchers benefit from the initial set-up.
Danah Tonne, Peter Gietz, Stefan E. Funk, and Jedrzej Rybicki
Hypertext Transfer Protocol, computer.internet_protocol, computer, Virtualization, computer.software_genre, Computer science, Humanities, Hypermedia, law.invention, law, Server, Network security, business.industry, business, Distributed data store, Authentication, World Wide Web, and Upload
Sustainable management of large amounts of research data is gaining in importance for research projects all over the world. The European project DARIAH aims to address this topic for the arts and humanities community. The DARIAH Bit Preservation, as a part of an archiving system for the arts and humanities, allows for a high performance, sustainable, and distributed storage of research data as basis of virtual research environments. A great challenge in designing such a service is to provide a standardized, consistent yet easy-to-use API for accessing the data that remains stable even if backend technology changes over time. As a solution, this paper presents the RESTful API of the DARIAH Bit Preservation which includes an administrative extension, and which is secured by an Authentication and Authorization Infrastructure (AAI) based on SAML. An exemplary implementation illustrates that the API offers distributed access by usage of the HTTP protocol and is able to handle a high number of files. Data transfer rates of up to 45 MB/s were achieved for uploading large files in the local network.
Cedric Angelo M. Festin, Danah Veronica Torres, Jan Vincent Santos, Roel Ocampo, John Norman Doctor, and Monica Kathrina Villanoy
Arc (geometry), Computer science, Disaster risk reduction, Computer security, computer.software_genre, computer, Mobile telephony, business.industry, business, Mobile development, Application framework, and Computer network
In disaster situations communication and power infrastructure could be damaged, disrupting their associated services. This could delay relief efforts and cost more lives. In situations where connections are damaged and unreliable, peer-to-peer (P2P) and delay-tolerant networking (DTN) technologies can help provide alternative communication modes particularly in support of rescue and relief operations. Combining the benefits of the store-and-forward capability of DTN and the data propagation techniques of Wi-Fi Direct, we have created a flexible framework called ARC which allows users to create applications that could meet their specific requirements, particularly those in support of emergency communications. To demonstrate our framework, we created a simple application using ARC, and used this application to evaluate its DTN and Wi-Fi Direct group recovery capabilities.
The goal of ecommerce recommender systems is to increase sales by providing accurate recommendations to the users. However, users purchase intention plays a vital role in making a purchase and ignoring their desire to make a purchase before providing a recommendation can negatively influence recommendation accuracy because it does not target the specific users. The proposed model identifies eight factors that can influence a user’s purchase intention and categorises them as user and population behaviors. These factors are fed into the AdaBoost algorithm to predict a user’s purchase intention. The results show that we achieve high accuracy and the ROC area is 0.91, when we use the identified factors to predict a user’s purchase intention. The proposed model outperforms two state-of-the-art models that have been used to predict a user’s purchase intention.