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This paper presents the design and the development of two metadata editors for the RAGE project. The work is based on two conceptually different approaches. One of the editors follows a data-centric approach, while the other follows a user-centric one. Discussed are the design challenges, the internal structure and a comparison of both metadata editors.ACM Computing Classification System (1998): H.5.2, H.3.5, J.1, D.2.8.

This paper presents the architecture of the RAGE repository, which is a unique and dedicated infrastructure that provides access to a wide variety of advanced technology components for applied game development. The RAGE project, which is the principal Horizon2020 research and innovation project on applied gaming, develops up to three dozens of software components (RAGE software assets) that are reusable across a wide diversity of game engines, game platforms and programming languages. The RAGE repository provides storage space for assets and their artefacts and is designed as an asset life-cycle management system for defining, publishing, updating, searching and packaging for distribution of these assets. It will be embedded in a social platform for asset developers and other users. A dedicated Asset Repository Manager provides the main functionality of the repository and its integration with other systems. Tools supporting the Asset Manager are presented and discussed. When the RAGE repository is in full operation, applied game developers will be able to easily enhance the quality of their games by including selected advanced game software assets. Making available the RAGE repository system and its variety of software assets aims to enhance the coherence and decisiveness of the applied game industry.

Although the Metadata Editor is an important part of any digital library, it becomes fundamental in the presence of audiovisual content. This is because the metadata produced by automated support tools (such as speech recognizers and shot detection procedures) is error-prone and often needs correction. In addition, scenes are manually annotated. This paper describes Regia, a prototype application for manually editing metadata for audiovisual documents developed in the ECHO project. Regia allows the user to manually edit textual metadata and to hierarchically organize the segmentation of the audiovisual content. An important feature of this metadata editor is that it is not hard-wired with a particular metadata attributes set. To achieve this feature the XML schema of the metadata model is used by the editor as a configuration file.

This paper describes the salient features of the hardware-software system AMMIRA, a framework for the virtual restoration of artworks, based on a combination of multispectral and 3D imaging, and digital image analysis and processing techniques. The imaging system is composed of a multispectral camera and a digital projector, for both 2D and 3D data acquisition. The 3D surface representation is used to correct geometrical distortions, and the rich and diverse information content of the 2D multispectral images is exploited by statistical techniques to extract individual features and to attenuate degradations. Finally, the entire digital object history - all the acquisition and processing steps, with the corresponding parameters - is stored in metadata files, for future evaluation of the restoration process and the creation of an expert knowledge database.

International audience; This demonstration describes the results of the first year of the EuDML project, an initiative building a new multilingual service for searching and browsing the content of existing European portals of mathematical content. We demonstrate the first versions and proofs of concept of the EuDML portal, its contents' aggregator, and a toolset for added value.

This chapter deals with the problem of processing and analyzing digital images of ancient or degraded documents to increase the possibilities of inferring their structures. Classification and recognition are needed to infer structure but, when dealing with degraded documents, they are particularly difficult to apply directly to unprocessed images. This is why an intermediate step is needed that extracts automatically the "perceptual components" of the documents from their appearance. By "appearance" of a document, we mean the "raw" data set, containing the "sensorial components" of the object under study. Ancient documents of historical importance pose specific problems that are now being solved with the help of information technology. As much information as possible should be drawn from the physical documents and should be structured so as to permit specialized searches to be performed in large databases. The tools we use to treat unstructured, low-level information are both mathematical and descriptive. Under a mathematical point of view, we model our appearance as a function of all the perceptual components, or patterns we want to identify. Once the model has been established, its parameters can be learned from the data available and from reasonable assumptions on both the model itself and the patterns. Our descriptive tools form a specialized metadata schema that can help both the storage and the indexing of all the digital objects produced to represent the original document, and provides a complete description of all the processing performed. Suitable links fully interconnect the various descriptions in order to relate the different representations of the physical object and to trace the history of all the processing performed. Inferring structure is much easier by analyzing the patterns and their mutual relationships than by analyzing the appearance.

Authoring support for semantic annotations represent the wiki way of the Semantic Web, ultimately leading to the wiki version of the Semantic Web's eternal dilemma: why should authors correctly annotate their content? The obvious solution is to make the ratio between the needed effort and the acquired advantages as small as possible. Two are, at least, the specificities that set wikis apart from other Web-accessible content in this respect: social aspects (wikis are often the expression of a community) and technical issues (wikis are edited "on-line"). Being related to a community, wikis are intrinsically associated to the model of knowledge of that community, making the relation between wiki content and ontologies the result of a natural process. Being edited on-line, wikis can benefit from a synergy of Web technologies that support all the information sharing process, from authoring to delivery. In this paper we present an approach to reduce the authoring effort by providing ontology-based tools to integrate models of knowledge with authoring-support technologies, using a functional approach to content fragment creation that plays nicely with the "wiki way" of managing information.

Česká digitální matematická knihovna DML-CZ zpřístupňuje na Internetu matematickou literaturu mezinárodní úrovně vytvořenou na území České republiky od 19. století. Jedná se především o matematické časopisy, ale také vybrané monografie a sborníky konferencí. Na projektu DML-CZ spolupracuje Akademie věd ČR, Masarykova univerzita v Brně a Karlova univerzita v Praze. Projekt je součástí aktivit směřujících k vytvoření Světové digitální matematické knihovny. Článek se zaměřuje na tři aspekty České matematické digitální knihovny: nejprve je stručně představena koncepce DML-CZ a její obsah; v druhé části je naznačen postup při zpracování digitalizovaných tištěných dokumentů s využitím Metadatového editoru – nástroje vyvinutého v průběhu řešení projektu; ve třetí části je ukázána vlastní digitální knihovna vybudovaná nad open-source systémem DSpace. Česká digitální matematická knihovna DML-CZ zpřístupňuje na Internetu matematickou literaturu mezinárodní úrovně vytvořenou na území České republiky od 19. století. Jedná se především o matematické časopisy, ale také vybrané monografie a sborníky konferencí. Na projektu DML-CZ spolupracuje Akademie věd ČR, Masarykova univerzita v Brně a Karlova univerzita v Praze. Projekt je součástí aktivit směřujících k vytvoření Světové digitální matematické knihovny. Článek se zaměřuje na tři aspekty České matematické digitální knihovny: nejprve je stručně představena koncepce DML-CZ a její obsah; v druhé části je naznačen postup při zpracování digitalizovaných tištěných dokumentů s využitím Metadatového editoru – nástroje vyvinutého v průběhu řešení projektu; ve třetí části je ukázána vlastní digitální knihovna vybudovaná nad open-source systémem DSpace. The Czech Digital Mathematics Library DML-CZ presents on the Internet the relevant mathematical literature published throughout history in the Czech lands (since the 19th century). It involves mainly mathematical journals of international standing, but selected monographs and proceedings are also included. The DML-CZ is created in co-operation of the Academy of Sciences of the Czech Republic, Masaryk university in Brno and Charles university in Prague. The project is part of the World Digital Mathematics Library initiative. The paper covers three aspects of the DML-CZ: (a) content and services of the digital library, (b) metadata editor - a tool implemented in the project for creation of structure and metadata of digitized objects (structure, administrative and descriptive metadata, lists of references, autority records, etc.), (c) end-user digital library build using the open-source system DSpace.

Although the Metadata Editor is an important part of any digital library, it becomes fundamental in the presence of audiovisual content. This is because the metadata produced by automated support tools (such as speech recognizers and shot detection procedures) is error-prone and often needs correction. In addition, scenes are manually annotated. This paper describes Regia, a prototype application for manual editing metadata for audiovisual documents developed in the ECHO project. Regia allows the user to manually edit textual metadata and to hierarchically organize the segmentation of the audiovisual content. An important feature of this metadata editor is that it is not hard--wired with a particular metadata attributes set; for this purpose the XML schema of the metadata model is used by the editor as configuration file.

Wide access to large information collections is of great importance in many aspects of everyday life. However, limitations in information and communication technologies have, so far, prevented the average person from taking much advantage of existing resources. Digital Libraries tend to fill the gap between users and systems by providing services for the indexing, archival, management and retrieval of documents. Among other types of information, Audio/Video can be considered today as a primarily mean of communication, due to its richness in informative content and to its appeal. This implies that the development of Digital Libraries supporting the management of Audio/Video documents is of primarily importance to enable the access to the general public as well as to professional users of a significant asset of today life. This chapter presents the approach adopted in the ECHO (European CHronicles On line) system to provide an effective support for indexing, retrieval and management of historical documentary films. In order to achieve an effective and inexpensive indexing and a powerful support to content-based retrieval of Audio/Video material, a combination of automatic and manual indexing has been adopted.

Video can be considered today as a primarily mean of communication, due to its richness in informative content and to its appeal. Indeed, the combination of audio and video is an extremely important communication channel: it is considered that approximately 50% of what is seen and heard simultaneously is retained. Due to all these considerations, audio/video is particularly important in many different application sectors, such as TV broadcasting, professional applications (e.g. medicine, journalism, advertising, education, etc.), movie production, historical video archives. Furthermore, most of the video material produced is extremely difficult to access, due to several limitations: video documents are extremely large in size, so that archiving and transmission are expensive; video document’s content, even if extremely rich, is difficult to extract in order to support an effective content-based retrieval.