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Mathieu Andro

Publications and source records attributed to Mathieu Andro.

4 recordsLinked to original sources

Digital libraries: textual analysis for a systematic review and meta-analysis

Purpose: We seek to explore the realm of literature about digital libraries. We specifically seek to ascertain how interest in this subject has evolved, its impact, the most productive journals and countries, the number of occurrences of digital libraries, the relationships and dynamics of the main concepts mentioned, and the dynamics of metadata formats.Methods: We extracted corpora from the Google Scholar and Microsoft Academic Search bibliographic databases. We analyzed the named entities and concepts contained within these corpora with the help of text mining technologies, CorTexT in particular.Results: While the number of publications on the subject of digital libraries is increasing, their average number of citations is decreasing. China, the United States and India are the most productive countries on the subject. Literature about conservation and national libraries has gradually been replaced by literature about open access, university libraries and the relationship with users. Internet Archive is the most cited digital library in literature and continues to grow. Dublin Core is the most talked about metadata format, however the subject of metadata formats is declining in the corpus today.Conclusion: Digital libraries now seem to be reaching the age of maturity.

cs.DL

Bibliothèques numériques et gamification : panorama et état de l'art

This article presents an overview of the main gamification projects for digital libraries, either for tagging or OCR correction. This overview is followed by a state of the art with functionalities, motivations, sociology of contributors and the scope of gamification compared to the serious games and explicit crowdsourcing. Finally a comparison of results between explicit crowdsourcing and gamification is proposed. [English Title: Digital libraries and gamification: overview and state of the art]

cs.DL

Open Data Platform for Knowledge Access in Plant Health Domain : VESPA Mining

Important data are locked in ancient literature. It would be uneconomic to produce these data again and today or to extract them without the help of text mining technologies. Vespa is a text mining project whose aim is to extract data on pest and crops interactions, to model and predict attacks on crops, and to reduce the use of pesticides. A few attempts proposed an agricultural information access. Another originality of our work is to parse documents with a dependency of the document architecture.

cs.IR