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SlideWiki wins the creative innovation project award 2014 for OpenCourseWare excellence

April 27, 2014 - 9:15 pm by AliKhalili - No comments »

Just a couple of days ago, a paper about SlideWiki was presented at OCW Consortium Global Conference 2014 in Ljubljana, Slovenia. The paper was addressing “Crowd-sourcing (semantically) Structured Multilingual Educational Content (CoSMEC)”. In the presentation, Darya Tarasowa gave a detailed overview of the creation of multilingual open educational resources (OERs) in SlideWiki. SlideWiki is an OpenCourseWare authoring platform which enables crowdsourcing of the truly reusable structured open educational content.

At the closing ceremony of the conference, SlideWiki received the creative innovation project award for OpenCourseWare excellence from OCW Consortium. Project awards are aiming to recognize efforts that support the production, use and/or promotion of OCW/OER in ways other than the creation and use of material resources. The Creative Innovation Award recognizes outstanding innovations that bring a new approach to Open Education. Ideas or solutions presented as sites, courses or projects that substantially improve the discoverability, presentation, usability, accessibility or availability of course materials. For more information please visit:

http://www.openedconsortium.org/news/2014/04/ocw-consortium-announces-2014-winners-of-project-awards-for-opencourseware-excellence/

To get access to full-text of SlideWiki paper presented at OCW Consortium Global Conference 2014 visit:

http://openpraxis.org/index.php/OpenPraxis/article/view/117/pdf

AKSW Colloquium (Mon, 16.12.2013) about the SINA question answering system (as presented at IBM Watson)

December 13, 2013 - 4:09 pm by KonradHoeffner - No comments »

Last week Saeedeh Shekarpour was invited to present her work at the IBM research center (Watson project, DeepQA) in New York. On Monday, December 16 at 1.30 pm in Room P-702 (Paulinum), Saeedeh Shekarpour will present SINA, a question answering system, which transforms user-supplied queries in natural language into conjunctive SPARQL queries over a set of interlinked data sources.

As always, Bachelor and Master students are able to get points for attendance and there is complimentary coffee and cake after the session.

For further reading, please refer to the slides and the publication Question Answering on Interlinked Data (BibTeX).

The SINA Question Answering System

The architectural choices underlying Linked Data have led to a compendium of data sources which contain both duplicated and fragmented information on a large number of domains. One way to enable non-experts users to access this data compendium is to provide keyword search frameworks that can capitalize on the inherent characteristics of Linked Data. The contribution of this work is as follows:

  1. A novel approach for determining the most suitable resources for a user-supplied query from different datasets (disambiguation). It employs a hidden Markov model, whose parameters were bootstrapped with different distribution functions.
  2. A novel method for constructing a federated formal queries using the disambiguated resources and leveraging the linking structure of the underlying datasets. This approach essentially relies on a combination of domain and range inference as well as a link traversal method for constructing a connected graph which ultimately renders a corresponding SPARQL query.