RETRIEVAL OF TEXTUAL AND NON-TEXTUAL INFORMATION IN CLOUD

Textual Cbr and Information Retrieval { a Comparison {

In recent years, quite a number of projects started to apply case-based reasoning technology to textual documents instead of highly structured cases. For this the term Textual CBR has been coined. In this paper, we give an overview over the main ideas of Textual CBR and compare it with Information Retrieval techniques. We also present some preliminary results obtained from three projects perfor...

Stochastic Distributional Models for Textual Information Retrieval

The objective of this paper is to present a textual similarity model for Information Retrieval (IR) based on the Distributional Semantic (DS) model. This model is an extension of the standard Vector Space model, which further takes into account the co-frequencies between the terms in a given reference corpus, that are considered to provide a distributional representation of the "semantics" of t...

Identifying and Ranking the Important Textual and Paratextual Elements in Fiction Retrieval

Purpose: The purpose of this study is to identify the textual and paratextual elements in retrieving fiction from the readers’ perspective in order to provide the most appropriate access points for the readers and to improve access to fictions based on the readers’ needs. Method: The current research is an applied study in terms of purpose, applying a mixed method that was conducted using the ...

Searching and Classifying Non-Textual Information

This dissertation contains a set of contributions that deal with search or classification of non-textual information. Each contribution can be considered a solution to a specific problem, in an attempt to map out a common ground. The problems cover a wide range of research fields, including search in music, classifying digitally sampled music, visualization and navigation in search results, and...

Combining Content-based Image Retrieval with Textual Information Retrieval