Composers working with text-based software synthesis languages (such as the “Music N” languages) tend to produce rich documentation of their compositional process as a byproduct of their work. This evidence, in the form of custom programs and synthesis specifications, documents the technical means of a work’s realization; insights into the composer’s creative process may be extended if multiple...

Local cultural heritage documents are characterized by contents strongly connected with a territory and its land history. Our contribution aims at enhancing such a content valorization by proposing a system allowing documents to be retrieved and visualized according to geographic criteria. The paper presents an approach for indexing and visualizing a corpus according to space criteria. After pr...

A syntetic discussion on bioanalytical methods validation is presented from the point of view of regulatory documents, scientific articles and books. The validation parameters are described, together with an example of validation methodology applied in the case of chromatographic methods used in bioanalysis, taking in account to the recent Food and Drug Administration (FDA) guidelines and docum...

The service industry has traditionally relied on physical documents to communicate and manage their project and operational activities. As they adopt the object-centric view of Web2.0 technologies in their productivity tools, knowledge-based workers now have to work with interconnected object-centric view of information where they earlier had to deal with only documents created from wordprocess...

The language-gap, for example between lowliteracy laypersons and highly-technical expert documents, is a fundamental barrier for cross-domain knowledge transfer. This paper seeks to close the gap at the thematic level via topic adaptation, i.e., adjusting the topical structures for cross-domain documents according to a domain factor such as technicality. We present a probabilistic model for thi...

Most of the text summarization research carried out to date has been concerned with the summarization of short documents (e.g., news stories, technical reports), and very little work if any has been done on the summarization of very long documents. In this paper, we try to address this gap and explore the problem of book summarization. We introduce a new data set specifically designed for the e...

In this paper we focus on methods, models and tools for the extraction of bilingual training / test sets useful for the (semi) automatic classification of textual documents. Such documents could be tutorials, technical specifications, articles, personal notes, etc. Another motivation for our research is the need for managing corpus of classified texts and especially parallel corpora (texts). We...

This paper introduces a concept for creating documents, which are gathered, annotated, and structured individually, on the basis of a common digital document collection. Possible output media are Print-on-Demand booklets as well as PDF documents or E-Books. A prototypic implementation of this concept, an XML based online study guide is described. The paper focuses on the particularities of the ...

This paper proposes a method of domain specificity estimation of technical terms using the Web. In the proposed method, it is assumed that, for a certain technical domain, a list of known technical terms of the domain is given. Technical documents of the domain are collected through the Web search engine, which are then used for generating a vector space model for the domain. The domain specifi...

More and more documents on theWorld WideWeb are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. Grouping together documents which are based on the same template is an important task for applications that analyse the template structure and need clean training data. This paper develops and compares several distance m...