In spite of its tremendous value, metadata is generally sparse and incomplete, thereby hampering the effectiveness of digital information services. Many of the existing mechanisms for the automated creation of metadata rely primarily on content analysis which can be costly and inefficient. The automatic metadata generation system proposed in this article leverages resource relationships generated from existing metadata as a medium for propagation from metadata-rich to metadata-poor resources. Because of its independence from content analysis, it can be applied to a wide variety of resource media types and is shown to be computationally inexpensive. The proposed method operates through two distinct phases. Occurrence and co-occurrence algorithms first generate an associative network of repository resources leveraging existing repository metadata. Second, using the associative network as a substrate, metadata associated with metadata-rich resources is propagated to metadata-poor resources by means of a discrete-form spreading activation algorithm. This article discusses the general framework for building associative networks, an algorithm for disseminating metadata through such networks, and the results of an experiment and validation of the proposed method using a standard bibliographic dataset.

1. Automatic Metadata Generation Using Associative-Networks Marko A. Rodriguez CCS-3 ‘Tech Talk’ December 7, 2005 http://www.soe.ucsc.edu/~okram

3. Metadata Record <?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot; ?> <OAI-PMH xmlns =&quot; http://www.openarchives.org/OAI/2.0/&quot; xmlns:xsi=&quot; http://www.w3.org/2001/XMLSchema-instance&quot; > <responseDate >2005-09-07T15:25:04Z</ responseDate > <request verb =&quot;GetRecord&quot; identifier =&quot;oai:arXiv.org:cs/0412047&quot; metadataPrefix =&quot;oai_dc&quot; > http://arXiv.org/oai2</ request > <GetRecord > <record > <header > <identifier >oai:arXiv.org:cs/0412047</ identifier > <datestamp >2004-12-14</ datestamp > <setSpec >cs</ setSpec > </header > <metadata > <oai_dc:dc xmlns:oai_dc =&quot; http://www.openarchives.org/OAI/2.0/oai_dc/&quot; > <dc:title >A Social Network for Societal-Scale Decision-Making Systems</ dc:title > <dc:creator >Rodriguez, Marko</ dc:creator > <dc:creator >Steinbock, Daniel</ dc:creator > <dc:subject >Computers and Society</ dc:subject > <dc:subject >Data Structures and Algorithms</ dc:subject > <dc:subject >Human-Computer Interaction</ dc:subject > <dc:subject >H.4.2</ dc:subject > <dc:subject >J.7</ dc:subject > <dc:subject >K.4.m</ dc:subject > <dc:description >In societal-scale decision-making systems the collective is faced ...</ dc:description > <dc:description >Comment: Dynamically Distributed Democracy algorithm</ dc:description > <dc:date >2004-12-10</ dc:date > <dc:type >text</ dc:type > <dc:identifier >http://arxiv.org/abs/cs/0412047</ dc:identifier > <dc:identifier >North American Association for Computational Social and Organizational Science Conference Proceedings 2004</ dc:identifier > </oai_dc:dc > </metadata > </record > </GetRecord > </OAI-PMH >

6. HEP-TH 2003 Semantic Network

14. Mini-Break

15. Terrorist Alert

17. Results for Co-Author Network (Citation Metadata)

18. Results for Co-Author Network (Organization Metadata)

19. Results for Co-Author Network (Keyword Metadata)

20. Results for Co-Keyword Network (Citation Metadata)

21. Results for Co-Keyword Network (Journal Metadata)

22. Results for Citation Network (Author Metadata)

23. Results for Citation Network (Keyword Metadata)

24. Results for Citation Network (Journal Metadata)