@article {766, title = {Retrieving and Processing Images from the Pages of a Historical Newspaper and Modeling the Text Topics-}, journal = {Journal of Digital Information Management}, volume = {19}, year = {2021}, month = {06/2021}, pages = {41-46}, type = {Research}, chapter = {41}, abstract = {

Historical newspapers are a source of research for the human and social sciences. However, these image collections are difficult to read by machine due to the low quality of the print, the lack of standardization of the pages in addition to the low quality photograph of some files. This paper presents the processing model of a topic navigation system in historical newspaper page images. The general procedure consists of four modules which are: segmentation of text sub-images and text extraction, preprocessing and representation, induced topic extraction and representation, and document viewing and retrieval interface. The algorithmic and technological approaches of each module are described and the initial test results about a collection covering a range of 28 years are presented.

}, doi = {https://doi.org/10.6025/jdim/2021/19/2/41-46}, url = {http://www.dline.info/download.php?sn=3258}, author = {Gild{\'a}cio J. de A. S{\'a} and Jos{\'e} E. B. Maia} } @article {789, title = {Query Expansion in Text Information Retrieval with Local Context and Distributional Model-}, journal = {Journal of Digital Information Management}, volume = {17}, year = {2020}, month = {12/2019}, pages = {313-320}, type = {Research}, chapter = {313}, abstract = {

The Semantic Distributional Model is based on the frequency of contexts of use of language terms in large open corpus such as the web, to establish similarity or the relationship between words. These relationships or similarities can be used to add terms when expanding queries. The idea explored in this paper is that, for queries in closed collections of text documents, a posterior filter based on the restricted vocabulary of the collection can improve the effectiveness of automatic query expansion. This idea is developed and evaluated in publicly available benchmarks presenting promising results.

}, doi = {https://doi.org/10.6025/jdim/2019/17/6/313-320}, url = {http://dline.info/fpaper/jdim/v17i6/jdimv17i6_1.pdf}, author = {Fabiano Tavares da Silva and Jos{\'e} E. B. Maia} }