@INPROCEEDINGS{WolpersMemmelNiemannKlerkxSpechtGirettiDuval+11,
  author = {Martin Wolpers AND Martin Memmel AND Katja Niemann AND Joris Klerkx
	AND Marcus Specht AND Alberto Giretti AND Erik Duval},
  title = {Aggregating metadata to improve access to resources},
  booktitle = {Proceedings of the 12th IEEE International Conference on Information
	Reuse and Integration (IRI 2011)},
  year = {2011},
  editor = {Reda Alhajj AND James Joshi AND Mei-Ling Shyu},
  number = {IEEE Catalog Number: CFP11IRI-ART},
  pages = {187--192},
  address = {Las Vegas, Nevada, USA},
  publisher = {IEEE},
  note = {ISBN 978-1-4577-0966-1},
  abstract = {A major drawback in today's information landscape is the distribution
	of resources across numerous repositories that have geographical
	world-wide distribution. Consequently, users interested in working
	with these resources need to either jump from repository to repository
	to find and possibly access them or rely on web search engines.
	
	In this paper, we discuss the problems arising from these ways and
	introduce the metadata based MACE approach. Within the Architecture
	Higher Education realm, we present the MACE system that uses harvesting
	to gather all metadata and that employs humans as well as machine
	learning techniques to semi-automatically relate the resources within
	the repositories with each other. Thereby, the MACE system provides
	a portal to find and access relevant Architecture learning resources
	without the need to go from repository to repository and without
	the need to browse through all search results of a web search engine.
	
	The MACE system provides a number of search facilities like facetted
	search, geographic-oriented search, classification search and social
	search to provide its unique access to learning resources. All search
	functionality bases on metadata that is combined and enriched within
	the MACE system, portal and community.},
  owner = {memmel}
}