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Vol 2 - Issue 1

Information Retrieval, Document and Semantic Web


List of Articles

Data correction for transcription in crowdsourcing. A feedback from RECITAL platform.

Crowdsourcing have been widely deployed to cover some challenges in digital humanities, like in the transcription of old handwritten documents. Such approach is especially useful to tackle existing limits in automatic handwriting recognition techniques. Crowdsourcing allows (...)


Earth Observation Datasets for Change Detection in Forests

The automatic detection of changes in forests (deforestation, reforestation) relies on various data sets. This article reviews data sets both global and local that can be used to evaluate tasks of land cover classification, change detection, segmentation and annotation of (...)


Construction(s) and contradictions of research data in the Humanities and Social Sciences

In the last decade, political injunctions to curate and share research data have increased significantly. A survey conducted in 2017 in Rennes 2, a french Humanities and Social Sciences university, enabled us to question the habits and representations of the researchers in (...)


Automatic analysis of old documents: taking advantage of an incomplete, heterogeneous and noisy corpus

In this article we try to tackle some problems arising with noisy and heterogeneous data in the domain of digital humanities. We investigate a corpus known as the mazarinades corpus which gathers around 5,500 documents in French from the 17th century. First of all, we show (...)


Harness the hetorogeneity in textual data

Over the last decades, there has been an increasing use of information systems, resulting in an exponential increase in textual data. Although the volumetric dimension of these textual data has been resolved, its heterogeneous dimension remains a challenge for the scientific (...)


Value and Variety Driven Approach for Extended Data Warehouses Design

In a very short time (1999-present), the data warehouse (DW) technology has gone through all the phases of a technological product’s life : introduction on the market, growth, maturity and decline, signaled by the appearance of Big Data. In the big data landscape, the arrival (...)


Other issues :

2017

Volume 17- 1

Issue 1

2019

Volume 19- 2

Issue 1