The growing volume of electronic documents on the Web, make their retrieval difficult. One of the reasons of this difficulty is the lack of rich representation of their structures. Intentional Structures promise to be a new paradigm to extend the existing documents structures and to enhance the different phases of documents process such as creation, editing, search and retrieval. The objective ...

In this paper, we propose a novel ranking function learning framework based on relevance propagation. The propagation process is used to propagate the relevance scores from labeled documents to other unlabeled ones so that more training data are available to learn the ranking function. It is realized by the manifold ranking algorithm, which has been proved to be very effective in content-based ...

This paper presents the project LEBONED that focuses on the integration of digital libraries and their contents into web-based learning environments. After discussing the several important aspects that have to be considered for this task, we describe in general how the architecture of a standard Learning Management System has to be modified to enable the integration of digital libraries. The LE...

In this paper, we propose a method to raise the accuracy of text classification based on latent topics, reconsidering the techniques necessary for good classification – for example, to decide important sentences in a document, the sentences with important words are usually regarded as important sentences. In this case, tf.idf is often used to decide important words. On the other hand, we apply ...

Technical documentation such as user manual and manufacturing document is now an important part of the industrial production. Indeed, without such documents, the products can neither be manufactured nor used according to their complexity. Therefore, the increasing volume of such documents stored in the electronic format, needs an automatic classification system in order to categorize them in pr...

Cumulative Citation Recommendation (CCR) is defined as: given a stream of documents on one hand and Knowledge Base (KB) entities on the other, filter, rank and recommend citation-worthy documents. The pipeline encountered in systems that approach this problem involves four stages: filtering, classification, ranking (or scoring), and evaluation. Filtering is only an initial step that reduces the...

The Qing Imperial Court documents are a major source of primary research material for studying the Qing era China since they provide the most direct and first-hand details of how national affairs were handled. However, the way Qing archived these documents has made it cumbersome to collect documents covering the same event and rebuild their original contexts. In this paper, we describe some inf...