591 research outputs found
Adapting museum structures for the web: no changes needed!
Canadian Heritage Information Networ
A multi-layered Bayesian network model for structured document retrieval
New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented
Indexing Languages for Information Management, a Promising Future or an Obsolete Resource?
Indexing languages have traditionally been an essential tool for organizing and retrieving documental information. The inclusion of indexing languages into the digital environment leads to new frontiers, but also new opportunities. This study shows the historical evolution of the indexing languages and its application in document management field. We analyze diverse trends for their digital use from two perspectives: their integration with other digital and linguistic resources, and the adjustment of them into the Web environment. Finally, there is an analysis of how these languages are used in the Web 2.0 and the incorporation of ontologies in the Semantic Web.This work was carried out within the framework of a research Project financed by the Spanish government (Ministerio de Educación y Ciencia, Secretaría de Estado de Universidades e Investigación, TIN 2007-67153)
Web and Semantic Web Query Languages
A number of techniques have been developed to facilitate
powerful data retrieval on the Web and Semantic Web. Three categories
of Web query languages can be distinguished, according to the format
of the data they can retrieve: XML, RDF and Topic Maps. This article
introduces the spectrum of languages falling into these categories
and summarises their salient aspects. The languages are introduced using
common sample data and query types. Key aspects of the query
languages considered are stressed in a conclusion
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