Uncertainty extensively exists in data and knowledge intensive applications, in which fuzzy
information processing plays a crucial role. Fuzzy sets have been extensively used to …

In this contribution some applications of Fuzzy Set Theory to Information Retrieval are
described, as well as the more recent outcomes of this research field. Fuzzy Set Theory is …

Today the current state of the art in querying XML data is represented by XPath and XQuery,
both of which rely on Boolean conditions for node selection. Boolean selection is too …

La nature de sources d'information évolue, et les documents numériques traditionnels plats
ne contenant que du texte s' enrichissent d'information structurelle et multimédia. Cette …

XML has become a key technology for interoperability, providing a common data model to
applications. However, diverse data modeling choices may lead to heterogeneous XML …

This chapter comprises a fuzzy-set-based extension to XQuery which allows user to express
preferences on XML documents and retrieves documents discriminated by their satisfaction …

This work presents a flexible XML selection language, FleXPath which allows the
formulation of flexible constraints on both structure and content of XML documents. Some …

The field of fuzzy information systems has grown and is maturing. In this paper, some
applications of fuzzy set theory to information retrieval are described, as well as the more …

The MIEL++ system integrates data expressed in two different formalisms: a relational
database and an XML database. The XML database is filled with data semi-automatically …

Topics related to fuzzy data have been investigated in the classical database research field,
and in the last years they are becoming interesting also in the XML data context. In this work …