New Internship Opportunity available for DBpedia enthusiasts!
In conjunction with Springer Nature, DBpedia offers a 3 months internship at Springer Nature in London (UK) and with DBpedia in Leipzig (GER).
is committed to providing the best quality content through a range of innovative products and services for the research, education and professional communities. Every day, around the globe, our brands and imprints support the important work of millions of people – helping students to learn, researchers and scientists to discover and professionals to achieve their goals and ambitions. We just released SciGraph, our new Linked Open Data platform which collates information from across the research landscape, e.g. funders, research projects, conferences, affiliations and publications. This high quality data from trusted and reliable sources provides a rich semantic description of how information is related, as well as enabling innovative visualizations of the scholarly domain.
DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia, Wikidata - among other sources - and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself.
Description of Position
|Main employer||DBpedia Association|
|Deadline of Application||June 30th, 2017|
|Duration||3 months/full-time, internship will starts in the second half of 2017|
|Location||50% in London (UK) and 50% in Leipzig (GER)|
|Type of students desired||Undergraduate, Graduate (Junior role)|
|Compensation||You receive a stipend of 1.300€ per month and additional reimbursement of your travel and visa costs (in total up to 1.000€).|
The student intern will be responsible for assisting with mappings for DBpedia at Springer Nature. Main tasks include, but are not restricted to:
Improving quality of the extraction mechanism of DBpedia scholarly references/wikipedia citations to Springer Nature URIs (e.g. by implementing reference extraction for other languages or disambiguating citations).
Text mining of DBpedia entities from Springer Nature publication content.
Furthermore, if time permits:
DataID as an extension of DCAT for SciGraph (Metadata for dataset description).
Improve mappings of Springer Nature SciGraph Ontology to DBpedia Ontology.
Analyse query logs of DBpedia for access of Springer Nature data in the main DBpedia endpoint.
Eligibility to work in the UK and Germany.
English speaking level good or proficient.
Proactive learner who can collaborate, share ideas and present to the rest of the team.
Ability to identify realistic goals and to deliver on them by the end of the internship.
Degree in Computer Science (BSc) or a related discipline recommended.
Knowledge of linked data and semantic web technologies.
Experience with one or more scripting languages and/or data processing tools e.g. for calling APIs, transforming data into different formats, generating statistics etc..
Knowledge of DBpedia data model and tools suite.
Familiarity with scholarly publishing domain concepts.
Knowledge of entity extraction or data mining concepts and techniques.
Opportunity to support and develop DBpedia.
Opportunity to work within Springer Nature, one of the world’s top scholarly publishing enterprises.
Opportunity to work as part of an agile team with a deep knowledge of data engineering, graph technologies and linked data.
Opportunity to spend time in London and Leipzig, two very exciting cities with progressive digital cultures.
How to Apply
Qualified intern candidates should submit their applications via our Online Application Form. Please include your CV and a letter of motivation detailing your interest and ambitions and why exactly Springer Nature and DBpedia should hire you!
You will be notified in case we like to set up an online interview with you.
For any further information or queries regarding this internship, you can contact the internship coordinators at DBpedia and Springer Nature via: email@example.com.