http://swrc.ontoware.org/ontology#Misc OERScout: autonomous clustering of open educational resources using keyword-document matrix en OERScout Open educational resources OER searching and location Text mining algorithms Document clustering Autonomous keyword identification Ishan Sudeera Abeywardena Choy Yoong Tham Chee Seng Chan Venkataraman Balaji Search engines Open educational resources This paper discusses the design and development of a clustering algorithm which accurately clusters text based OER materials by building a Keyword-Document Matrix (KDM) using autonomously identified domain specific keywords. This algorithm is the first phase of a larger technology framework named “OERScout” which is a new methodology for effectively searching and locating desirable OER for academic use. Proceedings of the 26th Asian Association of Open Universities Conference (17-18 October 2012; Chiba, Japan) 1-9 2014-10 Asian Association of Open Universities Electronic Wawasan Open University