Abstract | ||
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In this paper we describe the SCOT Exporter and its algorithms to create instance data based on the SCOT (Social Semantic Cloud of Tags) ontology for sharing and reusing tag data. The algorithms use tag frequencies and co-occurrence relations to represent statistical information via the SCOT ontology. We give an overview of the Exporter and the algorithms, and then discuss some experimental results. |
Year | DOI | Venue |
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2007 | 10.1109/IAT.2007.101 | IAT |
Keywords | DocType | ISBN |
semantic tagging,SCOT Exporter,statistical analysis,instance data,scot exporter,tag data reuse,algorithms use tag frequency,ontology,tag data sharing,simple algorithms,social tagging,representing tag frequencies,co-occurrence relation,tag frequency representation,reusing tag data,ontologies (artificial intelligence),scot ontology,statistical information,social sciences computing,social semantic cloud | Conference | 978-0-7695-3027-7 |
Citations | PageRank | References |
15 | 1.15 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hak-Lae Kim | 1 | 67 | 4.90 |
Sung-Kwon Yang | 2 | 59 | 8.01 |
John G. Breslin | 3 | 1009 | 104.34 |
Hong-Gee Kim | 4 | 225 | 22.83 |