The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies Export

@inproceedings{citeulike:2928856, abstract = {There is a growing interest on how we represent and share tagging data for the purpose of collaborative tagging systems. Conventional tags are not naturally suited for collaborative processes. Being free-text keywords, they are exposed to linguistic variations like case (upper vs lower), grammatical number (singular vs. plural) as well as human typing errors. Additionally, tags depend on the personal views of the world by individual users, and are not normalized for synonymy, morphology or any other mapping. The bottom line of the problem is that tags have no semantics whatsoever. Moreover, even if a user gives some semantics to a tag while using or viewing it, this meaning is not automatically shared with computers since it's not defined in a machine-readable way. With tagging systems increasing in popularity each day, the evolution of this technology is hindered by this problem, since tagging metadata is not readily generated and shared. In this paper we discuss approaches to represent collaborative tagging activities at a semantic level, and present conceptual models for collaborative tagging activities and folksonomies. We present criteria for the comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.}, address = {Berlin, Germany}, author = {Kim, Hak-Lae and Scerri, Simon and Breslin, John and Decker, Stefan and Kim, Hong-Gee}, booktitle = {International Conference on Dublin Core and Metadata Applications}, citeulike-article-id = {2928856}, citeulike-linkout-0 = {http://scot-project.org/pubs/Kim_TagOnt.pdf}, keywords = {folksonomy, ontology, semantic, tag, tagging, web}, posted-at = {2009-03-30 23:14:41}, priority = {0}, title = {The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies}, url = {http://scot-project.org/pubs/Kim_TagOnt.pdf}, year = {2008} }

TY - CONF ID - citeulike:2928856 L3 - citeulike-article-id:2928856 N2 - There is a growing interest on how we represent and share tagging data for the purpose of collaborative tagging systems. Conventional tags are not naturally suited for collaborative processes. Being free-text keywords, they are exposed to linguistic variations like case (upper vs lower), grammatical number (singular vs. plural) as well as human typing errors. Additionally, tags depend on the personal views of the world by individual users, and are not normalized for synonymy, morphology or any other mapping. The bottom line of the problem is that tags have no semantics whatsoever. Moreover, even if a user gives some semantics to a tag while using or viewing it, this meaning is not automatically shared with computers since it’s not defined in a machine-readable way. With tagging systems increasing in popularity each day, the evolution of this technology is hindered by this problem, since tagging metadata is not readily generated and shared. In this paper we discuss approaches to represent collaborative tagging activities at a semantic level, and present conceptual models for collaborative tagging activities and folksonomies. We present criteria for the comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria. AD - Berlin, Germany TI - The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies T2 - International Conference on Dublin Core and Metadata Applications KW - folksonomy KW - ontology KW - semantic KW - tag KW - tagging KW - web AU - Kim, Hak-Lae AU - Scerri, Simon AU - Breslin, John AU - Decker, Stefan AU - Kim, Hong-Gee PY - 2008/// UR - http://scot-project.org/pubs/Kim_TagOnt.pdf ER -