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Towards a Knowledge Diversity Model

Hasan, Rakebul; Siorpaes, Katharina; Krummenacher, Reto; Flöck, Fabian

The Web is an unprecedented enabler for publishing, using and exchanging information at global scale. Virtually any topic is covered by an amazing diversity of opinions, view-points, mind sets and backgrounds. The research project RENDER works on methods and techniques to leverage diversity as a crucial source of innovation and creativity, and designs novel algorithms that exploits diversity for ranking, aggregating and presenting Web content. Essential in this respect is a knowledge model that makes accessible — cognitively to human users as well as computationally to the machine — the diversity in content. In this paper, we present a glossary of relevant terms that serves as baseline to the specification of the Knowledge Diversity Model.

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Seitenaufrufe: 4
seit 23.03.2019
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Jahr 2011
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092200
Erschienen in 1st International Workshop on Knowledge Diversity on the Web, DiversiWeb 2011 - At 20th International World Wide Web Conference, WWW 2011; Hyderabad; India; 28 March 2011 through 28 March 2011
Verlag CEUR-WS, Aachen
Seiten 1-4
Serie CEUR Workshop Proceedings ; 762
Externe Relationen Abstract/Volltext
Nachgewiesen in Scopus
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