Exploring social annotations for web document classification

@inproceedings{citeulike:3380948, abstract = {Social annotation via so-called collaborative tagging describes the process by which many users add metadata in the form of unstructured keywords to shared content. In this paper, we explore and study social annotations and tagging with regard to their usefulness for web document classification by an analysis of large sets of real-world data. We are interested in finding out which kinds of documents are annotated more by end users than others, how users tend to annotate these documents, and in particular how this user-generated folk-sonomy compares with a top-down taxonomy maintained by classification experts for the same set of documents. We describe what can be deduced from the results for further research and development in the areas of document classification and information retrieval.}, address = {New York, NY, USA}, author = {Noll, Michael G. and Meinel, Christoph }, booktitle = {SAC '08: Proceedings of the 2008 ACM symposium on Applied computing}, citeulike-article-id = {3380948}, doi = {http://dx.doi.org/10.1145/1363686.1364235}, isbn = {978-1-59593-753-7}, keywords = {annotation, social, tagging}, location = {Fortaleza, Ceara, Brazil}, pages = {2315--2320}, posted-at = {2008-10-15 00:21:04}, priority = {2}, publisher = {ACM}, title = {Exploring social annotations for web document classification}, url = {http://dx.doi.org/10.1145/1363686.1364235}, year = {2008} }

TY - CONF ID - citeulike:3380948 L3 - citeulike-article-id:3380948 N2 - Social annotation via so-called collaborative tagging describes the process by which many users add metadata in the form of unstructured keywords to shared content. In this paper, we explore and study social annotations and tagging with regard to their usefulness for web document classification by an analysis of large sets of real-world data. We are interested in finding out which kinds of documents are annotated more by end users than others, how users tend to annotate these documents, and in particular how this user-generated folk-sonomy compares with a top-down taxonomy maintained by classification experts for the same set of documents. We describe what can be deduced from the results for further research and development in the areas of document classification and information retrieval. CY - Fortaleza, Ceara, Brazil SN - 978-1-59593-753-7 AD - New York, NY, USA EP - 2320 TI - Exploring social annotations for web document classification PB - ACM T2 - SAC '08: Proceedings of the 2008 ACM symposium on Applied computing SP - 2315 KW - annotation KW - social KW - tagging AU - Noll, Michael AU - Meinel, Christoph PY - 2008/// UR - http://dx.doi.org/10.1145/1363686.1364235 ER -