Group items tagged

"I thought you might want to know about and possibly contribute to this" (Museum Computer Group)EC consultation on digitisation and 'boosting cultural heritage online'. It's looking at "how best to speed up the digitisation, online accessibilityand preservation of cultural works across Europe. Contributions to thisconsultation will feed into the recommendations the Group will make beforethe end of the year" and they say, "the Group will come forward with a setof recommendations for the digitisation, online accessibility andpreservation of Europe's cultural heritage in the digital age, looking inparticular at the issue of public-private partnerships for digitisation inEurope".

Based on the semantically-enriched data model, we have implemented three different components/tools in the CHIP demonstrator: Artwork Recommender, web-based virtual Tour Wizard and PDA-based Mobile Tour. (i) Artwork Recommender. a Web-based rating dialog for artworks/topics to build a user profile, based on semantics-driven recommendations. (ii) Tour Wizard. a Web-based tool using the user prole to generate (semi)automatically personalization virtual museum tours for each user. (iii) Mobile Tour. a PDA-based tool to map virtual tours into the physical museum space with constraints; to give guidance to users and to synchronize the user profile on the web and in the PDA. prsented at Museum and the Web 2008: http://www.archimuse.com/mw2008/abstracts/prg_335001703.html

"Muse about where you go - around town or inside a museum. Share your experience and see what others recommend around your home and around the world. Explore the Google map and some of the initial MuseTrek mapped venues to see what some early users are musing about."

"Third Workshop on Search and Social Media (SSM 2010)" Schwerpuntk: search engines in the social web Despite these challenges, it is clear that the major web search engines have embraced the brave new world of real-time social content. Sihem Amer-Yahia (Yahoo!) offered two challenge problems: scalable community discovery and evaluation of collaborative recommendation systems. William wants to see a rigorous axiomatization of social media search behavior.

The outcome of MUSTEL is the development and dissemination of recommendations for theoretically-motivated design principles for technology enhanced learning in museums. The success criteria for the outcome is the integration of Kaleidoscope research on TE