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This paper briefly presents our Information Retrieval and Indexing System (IRIS), and how it adapts to support game engine components. We describe a conceptual game, Chasers of the Lost Data, to demonstrate how pervasive games elements interact with content and user context detection, enabling a broad range of game applications. The presented game combines physical, sensorial and contextual information...
A new Virtual Museum Exhibition Designer using an Enhanced ARCO Standard (ViMEDEAS) framework has been developed to support curators and visitors. It unifies features of a recently presented curator tool that allows exhibition planning and includes a functionality for editing existing exhibition layouts and visitors' museum tours and theReplicave2 framework that generates a Web-based virtual 3Dmuseum...
The use of technical articles in scientific and academic scopes is a well-known way to extend new creations and researching jobs throughout the world, mainly as a communication medium of knowledge among educational professionals. Nowadays, with no doubt, the Internet, is the usual way to spread any kind of documentation. Authors send the contents of their publications, based on a typical scheme composed...
This article presents the motivation and the implementation of a semantic model developed to support diverse semantic services in a multimedia asset management system in a broadcaster. The model is mainly driven by DMS-1 (descriptive metadata scheme) standard, which is part of the multimedia exchange format standard defined by the broadcast industrial community and according to our knowledge we propose...
This paper discusses the combination of context injection, metadata enrichment and information broking with current semantic web and community oriented concepts in order to optimize the search and retrieval process of relevant information. The presented approach focuses the shift from information pull to information push, and thus reduces the effort on finding the needed information for a specific...
Within the MACE project, we support simple access to and retrieval of digital learning resources in exploratory architectural education. In order to facilitate the improved access, we introduce a digital representation of real world objects through an extension of the LOM based MACE application profile, named entity recognition and the combination of various databases. Automatically grouping learning...
Exploring the metadata associated with documents in the semantic Web is a way to increase the precision of information retrieval systems. Systems have been established so far failed to overcome fully the limitations of search based on keywords. Such systems are built from variations of classic models that represent information by keywords and work upon statistical correlations. This work proposes...
In order to evaluate information retrieval algorithms it is imperative to use a dataset as a test database. However, access to such datasets is often difficult and expensive, since building them is a time-consuming and costly task. This paper presents a collaborative approach to dataset creation that uses a data quality evaluation technique based on fuzzy theory, to assist users in selecting suitable...
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