Title :
Finding Semantic Knowledge on the Folksonomy Evolution from Metadata
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
fDate :
March 31 2009-April 2 2009
Abstract :
Many resource repositories are aggregated data from different metadata formats. There is more of a need to show data, not only in browsing metadata tag, but more flexibly by people and applications. This paper tries to build an evolution from existing metadata and further applies it in related IT semantic applications.
Keywords :
meta data; ontologies (artificial intelligence); semantic Web; IT semantic application; data aggregation; folksonomy evolution; metadata repository; metadata tag browsing; ontology; semantic Web; semantic knowledge; Application software; Australia; Clustering algorithms; Computer science; Data engineering; Information science; Knowledge engineering; Knowledge management; Ontologies; Software libraries; folksonomy evolution; metadata; ontology; semantic;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.788
