Archiv für die Kategorie 'Papers'
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:
To get access to full-text of SlideWiki paper presented at OCW Consortium Global Conference 2014 visit:
The best 12th ISWC to ever be was concluded with the traditional award ceremony and … we won! The Big Data Challenge award was attributed to our work on Fostering Serendipity Through Big Linked Data. The idea behind this paper was to show how the integration and visualization of large amounts of data can empower end users during their quest for new knowledge. In this paper, we implemented this idea for bio-medical experts by combining Linked TCGA (the winner of the I-Challenge 2013) with publications from PubMed within the visualization available here. This work is intended to be the first in a series of works on exploiting Big Data to support researchers in their everyday work.
We are pleased to announce that a new overview article for DBpedia is available.
The article covers several aspects of the DBpedia community project:
- The DBpedia extraction framework.
- The mappings wiki as the central structure for maintaining the community-curated DBpedia ontology.
- Statistics on the multilingual support in DBpedia.
- DBpedia live synchronisation with Wikipedia.
- Statistics on the interlinking of DBpedia with other parts of the LOD cloud (incoming and outgoing links).
- Several usage statistics: What kind of queries are asked against DBpedia and how did that change over the past years? How much traffic do the official static and live endpoint as well as the download server have? What are the most popular DBpedia datasets?
- A description of use cases and applications of DBpedia in several areas (drop me mail if important applications are missing).
- The relation of DBpedia to the YAGO, Freebase and WikiData projects.
- Future challenges for the DBpedia project.
After our ISWC 2009 paper on DBpedia, this is the (long overdue) new reference article for DBpedia, which should provide a good introduction to the project. We submitted the article as a system report to the Semantic Web journal.
Call for papers
Special Issue on Web Data Quality
International Journal on Semantic Web and Information Systems
The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Open Data (LOD). The integration across this Web of Data, however, is hampered by the ‘publish first, refine later’philosophy. This leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and incomprehensibility. These problems affect every application domain, be it scientific (e.g., life science, environment), governmental or industrial applications.
This Special Issue is addressed to those members of the community interested in providing novel methodologies or frameworks in assessing, monitoring, maintaining and improving the quality of the Web of Data and also introduce tools and user interfaces which can effectively assist in the assessment. The benefits of such methodologies will not only help in detecting inherent data quality problems currently plaguing the Web of Data, but also provide the means to fix these problems and maintain the quality in the long run. Additionally, we also seek articles that help identify the current impediments in building real-world LOD applications