%0 Conference Paper %1 rattenbury2007towards %A Rattenbury, Tye %A Good, Nathaniel %A Naaman, Mor %B SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval %C New York, NY, USA %D 2007 %I ACM Press %K emerging event extraction flickr folksonomy geo learning location ol_tut2010 ontology place semantic web %P 103--110 %R 10.1145/1277741.1277762 %T Towards automatic extraction of event and place semantics from flickr tags %U http://dx.doi.org/10.1145/1277741.1277762 %X We describe an approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag's usage patterns. In particular, we focus on the problem of extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website that supports time and location (latitude/longitude) metadata. We analyze two methods inspired by well-known burst-analysis techniques and one novel method: Scale-structure Identification. We evaluate the methods on a subset of Flickr data, and show that our Scale-structure Identification method outperforms the existing techniques. The approach and methods described in this work can be used in other domains such as geo-annotated web pages, where text terms can be extracted and associated with usage patterns. %@ 978-1-59593-597-7

@inproceedings{rattenbury2007towards, abstract = {We describe an approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag's usage patterns. In particular, we focus on the problem of extracting place and event semantics for tags that are assigned to photos on Flickr, a popular photo sharing website that supports time and location (latitude/longitude) metadata. We analyze two methods inspired by well-known burst-analysis techniques and one novel method: Scale-structure Identification. We evaluate the methods on a subset of Flickr data, and show that our Scale-structure Identification method outperforms the existing techniques. The approach and methods described in this work can be used in other domains such as geo-annotated web pages, where text terms can be extracted and associated with usage patterns.}, added-at = {2009-11-09T18:14:25.000+0100}, address = {New York, NY, USA}, author = {Rattenbury, Tye and Good, Nathaniel and Naaman, Mor}, biburl = {https://www.bibsonomy.org/bibtex/2bf6f73d2ef74ca6f1d355fb5688b673c/jaeschke}, booktitle = {SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval}, description = {CiteULike: Towards automatic extraction of event and place semantics from flickr tags}, doi = {10.1145/1277741.1277762}, interhash = {8b02d2b3fdbb97c3db6e3b23079a56e5}, intrahash = {bf6f73d2ef74ca6f1d355fb5688b673c}, isbn = {978-1-59593-597-7}, keywords = {emerging event extraction flickr folksonomy geo learning location ol_tut2010 ontology place semantic web}, pages = {103--110}, publisher = {ACM Press}, timestamp = {2015-12-21T18:00:52.000+0100}, title = {Towards automatic extraction of event and place semantics from flickr tags}, url = {http://dx.doi.org/10.1145/1277741.1277762}, year = 2007 }