The Papyrus Digital Library: Discovering History in the News

Abstract. Digital archives comprise a valuable asset for effective information retrieval. In many cases, however, the special vocabulary of the archive restricts its access only to experts in the domain of the material it contains and, as a result, researchers of other disciplines or the general public cannot take full advantage of the wealth of information it offers. To this end, the Papyrus research project has worked towards a solution which makes cross-discipline search possible in digital libraries. The developed prototype showcases this approach demonstrating how we can discover history in news archives. In this demo we focus on demonstrating two of the end user tools available in the prototype, the cross-discipline search and the Papyrus browser

Применение спектрометра МКС-АТ1315 для контроля радионуклидов, образующихся в процессе производства радиофармпрепаратов

Спектрометр МКС-АТ1315 позволяет оперативно выявлять технологические радионуклиды в процессе производства РФП на основе 18F как в регенерированной воде, так и в картриджах сорбционной очистки. Оценку содержание нежелательных радионуклидов целесообразно проводить по пику с максимумом 130 кэВ, обусловленному изотопом кобальта 57Co, который является доминирующим нежелательным радионуклидом

A Collaborative Requirement Mining Framework to Support OEMs

With the fastidiously ever-increasing complexity of systems, the relentless, massive customisation of products and the mushrooming accumulation of legal documents (standards, policies and laws), we can observe a significant increase in requirements. We consider the tremendous volume of requirements as big data with which companies struggle to make strategic decisions early on. This paper proposes a collaborative requirement mining framework to enable the decision-makers of an Original Equipment Manufacturer (OEM) to gain insight and discover opportunities in a massive set of requirements so as to make early effective strategic decisions. The framework supports OEMs willing to uncover a subset of key requirements by distilling large unstructured and semistructured specifications.Keonys, Toulouse, Franc

Extracting Access Control and Conflict Resolution Policies from European Data Protection Law

This paper presents the extraction of a legal access control policy and a conflict resolution policy from the EU Data Protection Directive [1]. These policies are installed in a multi-policy authorization infrastructure described in [2, 3]. A Legal Policy Decision Point (PDP) is constructed with a legal access control policy to provide automated decisions based on the relevant legal provisions. The legal conflict resolution policy is configured into a Master PDP to make sure that the legal access control policy gets priority over access control policies provided by other authorities i.e. the data subject, the data issuer and the data controller. We describe how clauses of the Directive are converted into access control rules based on attributes of the subject, action, resource and environment. There are currently some limitations in the conversion process, since the majority of provisions requires additional interpretation by humans. These provisions cannot be converted into deterministic rules for the PDP. Other provisions do allow for the extraction of PDP rules but need to be tailored to the application environment before they are configured into the Legal PDP

Requirements model generation to support requirements elicitation: The Secure Tropos experience

In recent years several efforts have been devoted by researchers in the Requirements Engineering community to the development of methodologies for supporting designers during requirements elicitation, modeling, and analysis. However, these methodologies often lack tool support to facilitate their application in practice and encourage companies to adopt them. In this paper, we present our experience in the application of methods for the transformation of requirements specifications expressed in natural language into semi-structured specifications. More specifically, we apply a lightweight method for extracting requirements from system descriptions in natural language to support the Secure Tropos methodology during requirements elicitation phase. Our proposal is based on Cerno, a semantic annotation environment, which uses high-speed context-free robust parsing combined with simple word search. To evaluate our proposal, we discuss its application to the requirements elicitation process followed in the course of a European project on four industrial case studies

Research preview: Supporting end-user requirements elicitation using product line variability models

[Context and motivation] Product line variability models have been primarily used for product configuration purposes. We suggest that such models contain information that is relevant for early software engineering activities too. [Question/Problem] So far, the knowledge contained in variability models has not been used to improve requirements elicitation activities. State-of-the-art requirements elicitation approaches furthermore do not focus on the cost-effective identification of individual end-user needs, which, for example, is highly relevant for the customization of service-oriented systems. [Principal idea/results] The planned research will investigate how end-users can be empowered to document their individual needs themselves. We propose a tentative solution which facilitates end-users requirements elicitation by providing contextual information codified in software product line variability models. [Contribution] We present the idea of a “smart” tool for end-users allowing them to specify their needs and to customize, for example, a service-oriented system based on contextual information in variability models

Why eliciting and managing legal requirements is hard

The increasing complexity of IT systems and the growing demand for regulation compliance are main issues for the design of IT systems. Addressing these issues requires the developing of effective methods to support the analysis of regulations and the elicitation of any organizational and system requirements from them. This work investigates the problem of designing regulation-compliant systems and, in particular, the challenges in eliciting and managing legal requirements