European Knowledge Acquisition Workshop

EKAW 2016: Knowledge Engineering and Knowledge Management pp 778-793

OpenResearch: Collaborative Management of Scholarly Communication Metadata

  • Sahar Vahdati
  • Natanael Arndt
  • Sören Auer
  • Christoph Lange
Conference paper

DOI: 10.1007/978-3-319-49004-5_50

Volume 10024 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Vahdati S., Arndt N., Auer S., Lange C. (2016) OpenResearch: Collaborative Management of Scholarly Communication Metadata. In: Blomqvist E., Ciancarini P., Poggi F., Vitali F. (eds) Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science, vol 10024. Springer, Cham

Abstract

Scholars often need to search for matching, high-profile scientific events to publish their research results. Information about topical focus and quality of events is not made sufficiently explicit in the existing communication channels where events are announced. Therefore, scholars have to spend a lot of time on reading and assessing calls for papers but might still not find the right event. Additionally, events might be overlooked because of the large number of events announced every day. We introduce OpenResearch, a crowd sourcing platform that supports researchers in collecting, organizing, sharing and disseminating information about scientific events in a structured way. It enables quality-related queries over a multidisciplinary collection of events according to a broad range of criteria such as acceptance rate, sustainability of event series, and reputation of people and organizations. Events are represented in different views using map extensions, calendar and time-line visualizations. We have systematically evaluated the timeliness, usability and performance of OpenResearch.

Keywords

Scientific events Collaborative knowledge acquisition Semantic publishing Semantic wikis Linked data 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Sahar Vahdati
    • 1
  • Natanael Arndt
    • 2
  • Sören Auer
    • 1
    • 3
  • Christoph Lange
    • 1
    • 3
  1. 1.Enterprise Information Systems (EIS)University of BonnBonnGermany
  2. 2.AKSW GroupLeipzig UniversityLeipzigGermany
  3. 3.Fraunhofer, Intelligent Analysis and Information Systems (IAIS)Sankt AugustinGermany