Catálogo de publicaciones - libros

Even though the Dublin Core Metadata Element Set is well accepted as a general solution, it fails to describe more complex information assets and their cross-correlation. These include data from political history, history of arts and sciences, archaeology or observational data from natural history or geosciences. Therefore IFLA and ICOM are merging their core ontologies, an important step towards semantic interoperability of metadata schemata across all archives, libraries and museums. It opens new prospects for advanced global information integration services. The first draft of the combined model was published in June 2006.

The domination of XML in the Internet for data exchange has led to the development of standards with XML Schema syntax for several application domains. Advanced semantic support, provided by domain ontolo gies and semantic Web tools like logic-based reasoners, is still very useful for many applications. In order to provide it, interoperability between XML Schema and OWL is necessary so that XML schemas can be converted to OWL. This way, the semantics of the standards can be enriched with domain knowledge encoded in OWL domain ontologies and further semantic process ing may take place. In order to achieve interoperability between XML Schema and OWL, we have developed XS2OWL, a model and a system that are presented in this paper and enable the automatic transformation of XML Schemas in OWL-DL. XS2OWL also enables the consistent transformation of the derived knowledge (individuals) from OWL-DL to XML constructs that obey the original XML Schemas.

One of the most important applications of Digital Libraries (DL) is learning. In order to enable the development of eLearning applications that easily exploit DL contents it is crucial to bridge the interoperability gap between DL and eLearning applications. For this purpose, a generic interoperability framework has been developed that could also be applied to other types of applications which are built on top of DL, although this paper focuses on eLearning applications. In this context, a framework for supporting pedagogy-driven personalization in eLearning applications has been developed that performs automatic creation of personalized learning experiences using reusable (audiovisual) learning objects, taking into account the learner profiles and a set of abstract training scenarios (pedagogical templates). From a technical point of view, all the framework components have been organized into a service-oriented rchitecture that upports nteroperability between igital Libraries and Learning Applications (ASIDE). A prototype of the ASIDE Framework has been implemented.

Evaluation of digital libraries assesses their effectiveness, quality and overall impact. In this paper we propose to use the Daffodil system as an experimental framework for the evaluation and research of interactive IR and digital libraries. The system already provides a rich set of working services and available information sources. These services and sources can be used as a foundation for further research going beyond basic functionalities. Besides the services and sources, the system supports a logging scheme for comparison of user behavior. In addition, the system can easily be extended regarding both services and sources. Daffodil’s highly flexible and extensible agent-based architecture allows for easy integration of additional components, and access to all existing services. Finally, the system provides a user-friendly graphical interface and facilitating services for log generation and analysis. The experimental framework can serve as a joint theoretical and practical platform for the evaluation of DLs, with the long-term goal of creating a community centered on interactive IR and DL evaluation.

Information Retrieval system evaluation campaigns produce valuable scientific data, which should be preserved carefully so that they can be available for further studies. A complete record should be maintained of all analyses and interpretations in order to ensure that they are reusable in attempts to replicate particular results or in new research and so that they can be referred to or cited at any time.

In this paper, we describe the data curation approach for the scientific data produced by evaluation campaigns. The medium/long-term aim is to create a large-scale of scientific data which supports services for the creation, interpretation and use of multidisciplinary and multilingual digital content.

This study addresses the lack of an adequate test collection that can be used to evaluate search systems that exploit annotations to increase the retrieval effectiveness of an information search tool. In particular, a new approach is proposed that enables the automatic creation of multiple test collections without human effort. This approach takes advantage of the human relevance assessments contained in an already existing test collection and it introduces content-level annotations in that collection.

We describe an expert evaluation for user requirement elicitation of an annotation system - The Digital Library Annotation Service, DiLAS, that facilitates collaborative information access and sharing. An analytical evaluation was conducted as a Participatory Group Evaluation, which involved presentation beyond the written papers of the objectives and rationale behind the development of the prototype. The empirical evaluation of DiLAS consisted of two experiments. The first evaluation experiment was a bottom up evaluation of the usability of the interface using a qualitative approach. The second stage of our evaluation moved towards a broader work context with a User and Work Centred Evaluation involving an entire, collaborative task situation, which required knowledge sharing on a common real life work task. This paper describes a first evaluation stage in an iterative evaluation process, and the preliminary result is a set of requirements that will inform the next stage of the DiLAS.

Evaluating the effectiveness of XML retrieval requires building test collections where the evaluation paradigms are provided according to criteria that take into account structural aspects. The INitiative for the Evaluation of XML retrieval (INEX) was set up in 2002, and aimed to establish an infrastructure and to provide means, in the form of large test collections and appropriate scoring methods, for evaluating the effectiveness of content-oriented XML retrieval. This paper describes the evaluation methodology developed in INEX, with particular focus on how evaluation metrics and the notion of relevance are treated.

The goal of DELOS Task 4.8 Task-centered Information Management is to provide the user with a Task-centered Information Management system (TIM), which automates user’s most frequent activities, by exploiting the collection of personal documents. In previous work we have explored the issue of managing personal data by enriching them with semantics according to a Personal Ontology, i.e. a user-tailored description of her domain of interest. Moreover, we have proposed a task specification language and a top-down approach to task inference, where the user specifies main aspects of the tasks using forms of declarative scripting. Recently, we have addressed new challenging issues related to TIM user’s task inference. More precisely, the first main contribution of this paper is the investigation of task inference theoretical issues. In particular, we show how the use of the Personal Ontology helps for computing simple task inference. The second contribution is an architecture for the system that implements simple task inference. In the current phase we are implementing a prototype for TIM whose architecture is the one presented in this paper.

Digital Libraries collections are an abstraction mechanism, endowed with an extension and an intension, similarly to predicates in logic. The extension of a collection is the set of objects that are members of the collection at a given point in time, while the intension is a description of the meaning of the collection, that is the peculiar property that the members of the collection possess and that distinguishes the collection from other collections. This view reconciles the many types of collections found in Digital Library systems, but raises several problems, among which how to automatically derive the intension from a given extension. This problem must be solved  for the creation of a collection from a set of documents. We outline basic results on the problem and then show how intensions can be exploited for carrying out basic tasks on collections, establishing a connection between Digital Library management and data integration.