BlogForever: D2.5 Weblog Spam Filtering Report and Associated Methodology

This report is written as a first attempt to define the BlogForever spam detection strategy. It comprises a survey of weblog spam technology and approaches to their detection. While the report was written to help identify possible approaches to spam detection as a component within the BlogForver software, the discussion has been extended to include observations related to the historical, social and practical value of spam, and proposals of other ways of dealing with spam within the repository without necessarily removing them. It contains a general overview of spam types, ready-made anti-spam APIs available for weblogs, possible methods that have been suggested for preventing the introduction of spam into a blog, and research related to spam focusing on those that appear in the weblog context, concluding in a proposal for a spam detection workflow that might form the basis for the spam detection component of the BlogForever software

BlogForever D3.3: Development of the Digital Rights Management Policy

This report presents a set of recommended practices and approaches that a future BlogForever repository can use to develop a digital rights management policy. The report outlines core legal aspects of digital rights that might need consideration in developing policies, and what the challenges are, in particular, in relation to web archives and blog archives. These issues are discussed in the context of the digital information life cycle and steps that might be taken within the workflow of the BlogForever platform to facilitate the gathering and management of digital rights information. Further, the reports on interviews with experts in the field highlight current perspectives on rights management and provide empirical support for the recommendations that have been put forward

D2.2 Report: BlogForever Data Model

This report outlines the development of a data model to support the preservation, management and dissemination of blogs. It outlines the literature and relevant approaches to data modelling and proceeds to describe the inquiries that informed the development of the proposed data model. The report identifies the data structures considered necessary for preserving blogs by revisiting the earlier inquiry summarised in the BlogForever Report, Deliverable 2.1 [1]. The report includes an inquiry into [a] the existing conceptual models of blogs, [b] the data models of Open Source blogging systems, and [c] data types identified from an empirical study of web feeds. The results, the report progresses to propose a data model intended to enable preservation of blogs and their individual components. Following internal consultation exercises from blog service providers and preservation experts, the proposed data model may require further refinement in accordance with the anticipated development of preservation policies (WP3), data extraction methodologies (WP2) and user requirements for platform BlogForever specification (WP4). Finally, the report positions and discusses the proposed data model alongside the Invenio software suite by highlighting the anticipated data flow and suggesting directions for their integration

The Invisible Museum: A User-Centric Platform for Creating Virtual 3D Exhibitions with VR Support

With the ever-advancing availability of digitized museum artifacts, the question of how to make the vast collection of exhibits accessible and explorable beyond what museums traditionally offer via their websites and exposed databases has recently gained increased attention. This research work introduces the Invisible Museum: a user-centric platform that allows users to create interactive and immersive virtual 3D/VR exhibitions using a unified collaborative authoring environment. The platform itself was designed following a Human-Centered Design approach, with the active participation of museum curators and end-users. Content representation adheres to domain standards such as International Committee for Documentation of the International Council of Museums (CIDOC-CRM) and the Europeana Data Model and exploits state-of-the-art deep learning technologies to assist the curators by generating ontology bindings for textual data. The platform enables the formulation and semantic representation of narratives that guide storytelling experiences and bind the presented artifacts with their socio-historic context. Main contributions are pertinent to the fields of (a) user-designed dynamic virtual exhibitions, (b) personalized suggestions and exhibition tours, (c) visualization in web-based 3D/VR technologies, and (d) immersive navigation and interaction. The Invisible Museum has been evaluated using a combination of different methodologies, ensuring the delivery of a high-quality user experience, leading to valuable lessons learned, which are discussed in the article