• Aucun résultat trouvé

Linked Open Data about Springer Nature Conferences. The Story So Far

N/A
N/A
Protected

Academic year: 2022

Partager "Linked Open Data about Springer Nature Conferences. The Story So Far"

Copied!
1
0
0

Texte intégral

(1)

Linked Open Data about Springer Nature Conferences.

The Story So Far Keynote Talk

Aliaksandr Birukou

Springer-Verlag GmbH, Tiergartenstrasse 17, 69121, Heidelberg, Germany

Aliaksandr.Birukou@springer.com

Abstract. Despite many efforts for making data about scholarly publications available on the Web of Data, lots of information about academic conferences is still contained in (at best) free-text format. When available in a structured format, these data would provide an essential input for the decisions researchers, libraries, publishers, funding and evaluation bodies take every day.

This talk will describe the project about having such data available as Linked Open Data (LOD) at lod.springer.com for around 10,000 computer science conferences. In addition, we will have a closer look at the lessons learnt from launching this portal and cover other Linked Data projects in Springer Nature.

Finally, a novel semi-automated approach for classifying conference proceedings in Springer Nature will also be presented.

Keywords. Web of Data, scholarly publication, Linked Open Data, Computer Science conference, semi-automated classification

Références

Documents relatifs

Together with the fact that both bottom-up and top-down processes can be ob- served, where the deployed data influences the schema, we can see that there is a co-evolution of

Nevertheless, since in our case the BTC datasets are used as representative samples of the full Web of Linked Data, this decrease can be related to the fact that in 2012 and 2011

This extended abstract summarizes the paper [8]: Scholz, C., Illig, J., Atzmueller, M., Stumme, G.: On the Predictability of Talk Attendance at Academic Conferences.. An

It is a specification for a data exchange from a set of source graphs to one target graph that must satisfy the bounds in the schema.. The result is an Exchange which contains

Kerstin Schneider received her diploma degree in computer science from the Technical University of Kaiserslautern 1994 and her doctorate (Dr. nat) in computer science from

Through a use case of world health organization data, this project shows that current linked open data technologies have a potential to represent heterogonous

The seed data identified and filtered in the previous steps are submitted to a multi- strategy learning method, which is able to work in different ways according to the type of

Linked Data is about employing the Resource Description Framework (RDF) and the Hypertext Transfer Protocol (HTTP) to publish structured data on the Web and to connect data between