Preserving Linked Data

PRELIDA (PREserving LInked DAta) is an FP7 Coordination Action funded by the European Commission under the Digital Preservation Theme. PRELIDA targets the particular stakeholders of the Linked Data community, including data providers, service providers, technology providers and end user communities. These stakeholders have not been traditionally targeted by the Digital Preservation community, and are typically not aware of the digital preservation solutions already available. So an important task of PRELIDA is to raise awareness of existing preservation solutions and to facilitate their uptake. At the same time, the Linked Data cloud has specific characteristics in terms of structuring, interlinkage, dynamicity and distribution that pose new challenges to the preservation community. PRELIDA organises in-depth discussions among the two communities to identify which of these characteristics require novel solutions, and to develop road maps for addressing the new challenges. PRELIDA will complete its lifecycle at the end of this year, and the talk will report about the major findings.The Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 is supported by the Ministry of Education and Science and is under the patronage of UNESCO

Query Processing in a P2P Network of Taxonomy-based Information Sources

In this study we address the problem of answering queries over a peer-to-peer system of taxonomy-based sources. A taxonomy states subsumption relationships between negation-free DNF formulas on terms and negation-free conjunctions of terms. To the end of laying the foundations of our study, we first consider the centralized case, deriving the complexity of the decision problem and of query evaluation. We conclude by presenting an algorithm that is efficient in data complexity and is based on hypergraphs. We then move to the distributed case, and introduce a logical model of a network of taxonomy-based sources. On such network, a distributed version of the centralized algorithm is then presented, based on a message passing paradigm, and its correctness is proved. We finally discuss optimization issues, and relate our work to the literature

Steps Towards a Formal Ontology of Narratives Based on Narratology

Narrative is emerging as a notion that may enable overcoming the limitations of the discovery functionality (only ranked lists of objects) offered by information systems to their users. We present preliminary results on modelling narratives by means of formal ontology, by introducing a conceptualization of narratives and a mathematical expression of it. Our conceptualization tries to capture fundamental notions of narratives as defined in narratology, such as fabula, narration and plot. A validation of the conceptualization and of its mathematical specification is ongoing, based on the Semantic Web standards and on the CIDOC CRM ISO standard ontology

ARIADNEplus Data Aggregation Pipeline:User Guide (2.4)

The purpose of this User Guide is to provide a short introduction to the ARIADNEplus data aggregation pipeline. It defines, for the archaeological data providers, the process by which their data should be uploaded to the ARIADNE Content Cloud, so that it appears in the ARIADNEplus Catalogue, and can be searched via the ARIADNEplus Portal

Enabling European archaeological research: The ARIADNE E-infrastructure

Research e-infrastructures, digital archives and data services have become important pillars of scientific enterprise that in recent decades has become ever more collaborative, distributed and data-intensive. The archaeological research community has been an early adopter of digital tools for data acquisition, organisation, analysis and presentation of research results of individual projects. However, the provision of einfrastructure and services for data sharing, discovery, access and re-use has lagged behind. This situation is being addressed by ARIADNE: the Advanced Research Infrastructure for Archaeological Dataset Networking in Europe. This EUfunded network has developed an einfrastructure that enables data providers to register and provide access to their resources (datasets, collections) through the ARIADNE data portal, facilitating discovery, access and other services across the integrated resources. This article describes the current landscape of data repositories and services for archaeologists in Europe, and the issues that make interoperability between them difficult to realise. The results of the ARIADNE surveys on users' expectations and requirements are also presented. The main section of the article describes the architecture of the einfrastructure, core services (data registration, discovery and access) and various other extant or experimental services. The ongoing evaluation of the data integration and services is also discussed. Finally, the article summarises lessons learned, and outlines the prospects for the wider engagement of the archaeological research community in sharing data through ARIADNE

Make it Happen – Carrying out Research and Analysing Data (PARTHENOS Webinar)

3rd cycleThis webinar is dedicated to the phases of the research lifecycle “Carry out Research” & “Analyse Data” in the context of a research infrastructure. Carrying out research and analysis in the context of a research infrastructure requires a change in approach to research, where the harmonization of data and the ability to access and deploy interoperable services is crucial. This webinar will give an overview of the necessary elements required to set up a sustainable research infrastructure with regards to the management of data and services. It will clarify the technical and epistemical challenges faced in attempting to establish a successful and sustainable research infrastructure. In so doing, it will outline aspects of data sharing through research infrastructures, such as processing and contributing data, using and applying ontologies, questions of interoperability, relevant tools and Virtual Research Environments (VREs). This webinar will cross-link to materials developed within PARTHENOS and by the PARTHENOS Cluster Partners and will, by way of example, refer to efforts undertaken to establish different VREs for the PARTHENOS project

Data Preservation

Digital information is a vital resource in our knowledge economy, valuable for research and education, science and the humanities, creative and cultural activities, and public policy (The Blue Ribbon Task Force on Sustainable Digital Preservation and Access, 2010). New high-throughput instruments, telescopes, satellites, accelerators, supercomputers, sensor networks, and running simulations are generating massive amounts of data (Thanos, 2011). These data are used by decision makers for improving the quality of life of citizens. Moreover, researchers are employing sophisticated technologies to analyse these data to address questions that were unapproachable just a few years ago (Helbing & Balietti, 2011). Digital technologies have fostered a new world of research characterized by immense datasets, unprecedented levels of openness among researchers, and new connections among researchers, policy makers, and the public (The National Academy of Sciences, 2009)

An Image Retrieval Model Based on Classical Logic

Images are a communication medium, hence objects of a linguistic nature having a form and a content. The form of an image is the image appearance and is understood as depicting a scene, the image content. The relationship between the form of an image and its content is established through a process of interpretation, capturing the meaning of the image form. Any information need on images can, and indeed has to, be seen as addressing either the image form, or its content, or the relationship between them. Consequently, any general, domain independent image retrieval facility should be based on a model supporting all these aspects of images. An image retrieval model, based on classical logic, is proposed which fulfills this basic requirement. 1 Introduction Information systems o#ering images serve nowadays an increasingly wide community of users. In order to cope with the requirements of their users, these systems must provide a sophisticate retrieval capability, which, while abstractin..