Catálogo de publicaciones - libros

Using keyword search to find relevant objects in digital libraries often results in way too large result sets. Based on the metadata associated with such objects, the faceted search paradigm allows users to structure and filter the result set, for example, using a publication type facet to show only books or videos. These facets usually focus on clear-cut characteristics of digital items, however it is very difficult to also organize the actual semantic content information into such a facet. The approach, presented in this paper, uses the keywords provided by many authors of digital objects to automatically create light-weight topic categorization systems as a basis for a meaningful and dynamically adaptable . Using such emergent semantics enables an alternative way to filter large result sets according to the objects’ content without the need to manually classify all objects with respect to a pre-specified vocabulary. We present the details of our algorithm using the DBLP collection of computer science documents and show some experimental evidence about the quality of the achieved results.

In this paper we present an approach to question answering over heterogeneous knowledge sources that makes use of different ontology management components within the scenario of a digital library application. We present a principled framework for integrating structured metadata and unstructured resource content in a seamless manner which can then be flexibly queried using structured queries expressed in natural language. The novelty of the approach lies in the combination of different semantic technologies providing a clear benefit for the application scenario considered. The resulting system is implemented as part of the digital library of British Telecommunications (BT). The original contribution of our paper lies in the architecture we present allowing for the non-straightforward integration of the different components we consider.

The paper represents a first attempt to formalize the get-specific document classification algorithm and to fully automate it through reasoning in a propositional concept language without requiring user involvement or a training dataset. We follow a knowledge-centric approach and convert a natural language hierarchical classification into a formal classification, where the labels are defined in the concept language. This allows us to encode the get-specific algorithm as a problem in the concept language. The reported experimental results provide evidence of practical applicability of the proposed approach.

Increased usage of Web search engines in our daily lives means that the trustworthiness of searched results has become crucial. User studies on the usage of search engines and analysis of the factors used to determine trust that users have in search results are described in this paper. Based on the analysis, we developed a system to help users determine the trustworthiness of Web search results by computing and showing each returned page’s topic majority, topic coverage, locality of supporting pages (i.e., pages linked to each search result) and other information. The measures proposed in the paper can be applied to the search of Web-based libraries or can be useful in the usage of digital library search systems.

Ranking publications of (ODLs) is useful for (i) providing comparative assessment of publications and (ii) listing relevant ODL search results first in search outputs, enabling users to aggregate pertinent results quickly and easily. Studies show that effective citation-based scoring functions, namely, PageRank, HITS and Citation Count, are highly skewed, and have accuracy problems, possibly due to topic diffusion. In this paper, based on the notion of research pyramids, we propose an a priori technique to assign more effective publication scores. Using the ACM SIGMOD Anthology ODL as a testbed, we show that our approach provides more accurate and less skewed publication scores.

In this paper, we study the problem of maintaining metadata for open Web content. In digital libraries such as DLESE, NSDL and G-Portal, metadata records are created for some good quality Web content objects so as to make them more accessible. These Web objects are dynamic making it necessary to update their metadata records. As Web metadata maintenance involves manual efforts, we propose to reduce the efforts by introducing the () model to monitor only those changes made on Web page content regions that concern metadata attributes while ignoring other changes. We also develop evaluation metrics to measure the number of alerts and the amount of efforts in updating Web metadata records. KeC model has been experimented on metadata records defined for Wikipedia articles, and its performance with different settings is reported. The model is implemented in G-Portal as a metadata maintenance module.

This paper presents a novel approach to model-driven development of Digital Library (DL) systems. The overall idea is to allow Digital Library systems designers (e.g. information architects, librarians, domain experts) to easily design such systems by using a visual language. We designed a Domain Specific Visual Language for such a purpose and developed a framework supporting it; this framework helps designers by automatically generating code for the defined Digital Library system, so that they do not have to get involved into technical issues concerning its deployment. In our approach, both Human-Computer Interaction and Computer Supported Collaborative Work techniques are exploited when generating interfaces and services for the specific Digital Library domain.

Intelligibility, evolution and emulation are some of the key notions for digital information preservation. In this paper we define formally these notions on the basis of modules and inter-module dependencies. Subsequently, we discuss how we can handle the evolution of modules and dependencies. This work can be exploited for building advanced preservation information systems and registries.

This paper investigates the use of the logical structure in XML documents for the retrieval of XML multimedia objects. We study different logical levels and their combinations. Our investigation is carried on a purpose-built test collection based on the INEX test collection. Our findings are the followings. First, all logical levels allow discriminating between elements contained in different documents, whereas the lower logical levels allow discriminating between elements within a same document. Second, combining the logical levels improve retrieval performance.

Modern digital music libraries contain textual, visual, and audio data describing music on various semantic levels. Exploiting the availability of different semantically interrelated representations for a piece of music, this paper presents a query-by-lyrics retrieval system that facilitates multimodal navigation in CD audio collections. In particular, we introduce an automated method to time align given lyrics to an audio recording of the underlying song using a combination of synchronization algorithms. Furthermore, we describe a lyrics search engine and show how the lyrics-audio alignments can be used to directly navigate from the list of query results to the corresponding matching positions within the audio recordings. Finally, we present a user interface for lyrics-based queries and playback of the query results that extends the functionality of our SyncPlayer framework for content-based music and audio navigation.