Name Search in a Multilingual World: A Name Translation System
- Y. Zhou
- WeB 2008 - The 7th Workshop on e-Business, Paris…
The World Wide Web is ra pidly becoming the tagged web a s citizens tag resources to fa cilitate retrieval. We argue t hat t hese t ags ca pture i ndividual, often i ncomplete, kn owledge ab out a domain. Aggregated across a large number of contributors, they contain the potential to identify, in a bottom-up manner, key constructs in a domain. This research develops a set of heuristics that aggregates and analyzes web tags to extract domain-level constructs. In addition to inferring their existence, the heuristics distinguish entities, attributes and relationships. This paper presents the heuristics and demonstrates their usefulness with tags from Del.icio.us.