Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …

Despite the ubiquity of temporal data and considerable research on the effective and
efficient processing of such data, database systems largely remain designed for processing …

After more than two decades of its use, XML is not only a standard format for exchanging
data between different (Web) applications but also a model for a family of some emerging or …

Purpose–This paper sets out to investigate the meaning, role and implications of contextual
information associated with digital collections. Design/methodology/approach–This paper is …

In this paper, we present a temporal extension of the SPARQL query language for RDF
graphs. The new language is based on a temporal RDF database model employing triple …

In this paper, we present a multi-temporal RDF database model employing triple
timestam** with temporal elements, which best preserves in the multi-temporal setting the …

The article describes how different approaches from the IS field of conceptual modeling
should be transferred to the legal domain to enhance comprehensibility of legal regulations …

Effective support for temporal applications by database systems represents an important
technical objective that is difficult to achieve since it requires an integrated solution for …

Abstract Extensible Markup Language (XML) documents are associated with time in two
ways:(1) XML documents evolve over time and (2) XML documents contain temporal …

Temporal databases has been an active research area since many decades, ranging from
research work on query processing, most dominantly on selection and join queries, to new …