作者: G. Varese , S. Castano
DOI: 10.1007/978-3-642-20344-2_4
关键词: Normalization (statistics) 、 Semantic similarity 、 Computer science 、 Equivalence (formal languages) 、 Semantic relation 、 Information retrieval 、 Compound 、 Collective intelligence 、 Folksonomy
摘要: In this chapter, we provide techniques for automatically classifying and coordinating tags extracted from one or more folksonomies, with the aim of building collective tag intelligence which can then be exploited to improve conventional searching functionalities provided by tagging systems. Collective is organized in form equivalence clusters corresponding semantic, terminological, linguistic relations. For intelligence, define i) normalization identify extract relations holding between them ii) similarity match on basis available intelligence. Finally, describe evaluation proposed over real datasets del.icio.us Flickr folksonomies a application example exploiting similarity-based resource retrieval.