Web Intelligence Research Group

News

Top story

Our researchers won Best Paper Award in Linkoping, Sweden at EKAW 2014

Our researchers Milan Dojchinovski and Tomas Vitvar recently won the Best Poster Award at the The 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014). The conference was held in Linkoping, Sweden. The paper, titled "Personalised, Serendipitous and Diverse Linked Data Resource Recommendations", proposes a method for personalised Linked Data recommendations.
You can read the paper here.

Recent news

Invited talk by Tomas Vitvar at Znalosti.eu: "Semantic Web Services after 10 years and opportunities in industry"

Semantic Web Services help to automatically engage with service providers, compare their offers and chose services that best match users’ goals. Research community explored several ways how to best describe a service for such scenarios and how to create a semantic layer on top of the existing service technology stack. However, after over 7 years, industry still does not pick this standard up. Why? Industry has a completely different view on a process of service usage while it is not interested in the service usage automation.

Milan Dojchinovski presents at the 9th Edition of the Language Resources and Evaluation Conference

tie, magna nunc efficitur neque, placerat maximus tellus purus eget tortor. Morbi magna magna, sodales at nisl et, laoreet dictum leo. Quisque et massa eget diam ornare venenatis vel ac diam. Vestibulum faucibus, leo vitae semper luctus, elit urna bibendum urna, et auctor sem leo nec lorem. Duis a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci, ac fi a tincidunt orci,

Our InBeat (inbeat.eu) Recommender developed received a runner-up prize in the News Recommender Challenge

The InBeat (inbeat.eu) recommender developed with support from LinkedTV received a runner-up prize in the News Recommender Challenge (https://sites.google.com/site/newsrec2013/challenge), which focused on recommending news articles in real-time. InBeat came second out of 17 participating systems. During the three weeks of the contest, it handled over 20 million recommendation requests. The News Recommender Challenge is organized in conjunction with the ACM Conference on Recommender Systems (http://recsys.acm.org/recsys13/). InBeat, together with the GAIN platform, was also presented at the main conference.