FabioCiravegna SamChapman Mining the Semantic Web: Requirements for machine learning 2005 LaurieDamianos JohnGriffith DonnaCuomo DavidHirst JamesSmallwood Onomi: Social Bookmarking on a Corporate Intranet 2006 We describe a technology exploration of social bookmarking within a closed, corporate environment. We hypothesize that such a tool would be valuable for information sharing, information management, and social networking in our organization. In order to assess the value of social software, we have embarked upon a 6-month pilot, or trial period, where we are striving to reach critical mass through marketing strategies and targeting influential figures with large, social networks. Our goal is to demonstrate the utility of social bookmarking within our corporation and to explore some of the social influences and behavioral evolution. MarcEhrig SiegfriedHandschuh AndreasHotho AlexanderMaedche BorisMotik DanielOberle ChristophSchmitz SteffenStaab LjiljanaStojanovic NenadStojanovic RudiStuder GerdStumme YorkSure JulienTane RaphaelVolz ValentinZacharias KAON - Towards a large scale Semantic Web Springer 2002 AndreasHotho AlexanderMaedche SteffenStaab Ontology-based Text Clustering 2001 A.Hotho S.Staab G.Stumme Text Clustering Based on Background Knowledge 2003 MattRichardson PedroDomingos Learning with Knowledge from Multiple Experts. AAAI Press 624-631 2003 ChristophSchmitz AndreasHotho RobertJäschke GerdStumme Kollaboratives Wissensmanagement Springer 273-290 2006 Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen. S.Staab H.-P.Schnurr R.Studer Y.Sure Knowledge Processes and Ontologies IEEE Intelligent Systems, Special Issue on Knowledge Management 16 2001 JakobVoss Tagging, Folksonomy & Co - Renaissance of Manual Indexing? 2007 This paper gives an overview of current trends in manual indexing on the Web. Along with a general rise of user generated content there are more and more tagging systems that allow users to annotate digital resources with tags (keywords) and share their annotations with other users. Tagging is frequently seen in contrast to traditional knowledge organization systems or as something completely new. This paper shows that tagging should better be seen as a popular form of manual indexing on the Web. Difference between controlled and free indexing blurs with sufficient feedback mechanisms. A revised typology of tagging systems is presented that includes different user roles and knowledge organization systems with hierarchical relationships and vocabulary control. A detailed bibliography of current research in collaborative tagging is included. Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996