Query Logs as Folksonomies
Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information of query logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph of users, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users add tags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on three comparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typical folksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logs as well.
- 2.Benz D, Krause B, Praveen Kumar G, Hotho A, Stumme G (2009) Characterizing semantic relatedness of search query terms. In: Proceedings of the 1st workshop on explorative analytics of information networks (EIN2009), Bled, Slovenia, September 2009 Google Scholar
- 7.Halpin H, Robu V, Shepard H (2006) The dynamics and semantics of collaborative tagging. In: Proceedings of the 1st semantic authoring and annotation workshop (SAAW’06), pp 211–220 Google Scholar
- 9.Jiang JJ, Conrath DW (1997) Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of the international conference on research in computational linguistics (ROCLING), pp 19–33. Taiwan Google Scholar
- 10.Jäschke R, Krause B, Hotho A, Stumme G (2008) Logsonomy—a search engine folksonomy. In: Proceedings of the second international conference on weblogs and social media (ICWSM 2008). AAAI Press, Menlo Park, pp 192–193 Google Scholar
- 11.Krause B, Hotho A, Stumme G (2008) A comparison of social bookmarking with traditional search. In: Macdonald C, Ounis I, Plachouras V, Ruthven I., White RW (eds) Advances in information retrieval, 30th European conference on IR research, ECIR 2008, pp 101–113 Google Scholar