This paper describes the DTC approach for building applications based on markup languages. DTC consistently combines componentware and markup technologies in a unified solution. Building an application according DTC supposes, on one hand, the provision of the set of documents describing the application at a purely declarative level (i.e. content, processes and interaction) and, on the other han...

This paper describes the DTC approach to the development of applications based on markup languages. DTC consistently combines componentware and markup technologies in a unified solution. Building an application according DTC supposes, on one hand, the provision of the set of documents describing the application at a purely declarative level (i.e. content, processes and interaction) and, on the ...

Introduction Conclusions References

This paper proposes a method, combining color and layout features, for identifying documents captured from lowresolution handheld devices. On one hand, the document image color density surface is estimated and represented with an equivalent ellipse and on the other hand, the document shallow layout structure is computed and hierarchically represented. Our identification method first uses the co...

Readability indices measure how easy or difficult it is to read and comprehend a text. In this paper we look at the relation between readability indices and web documents from two different perspectives. On the one hand we analyse how to reliably measure the readability of web documents by applying content extraction techniques and incorporating a bias correction. On the other hand we investiga...

Document retrieval is the problem of finding stored documents that contain useful information. There exist a set of documents on a range of topics, written by different authors, at different times, and at varying levels of depth, detail, clarity, and precision, and a set of individuals who, at different times and for different reasons, search for recorded information that may be contained in so...

GVC is a new information retrieval model that is based on Graph Vertices Comparison (GVC). It implements a new similarity measure to compare documents and users' queries based on graph matching. In this model, graphs are composed of two types of nodes. Documents, queries and indexing terms are viewed as vertices of this bipartite graph where each edge goes from a document or a query –first type...