Growing Fields of Interest - Using an Expand and Reduce Strategy for Domain Model Extraction
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
International Journal of Human-Computer Studies
Term frequency dynamics in collaborative articles
Proceedings of the 10th ACM symposium on Document engineering
Query classification using Wikipedia
International Journal of Intelligent Information and Database Systems
Web Wisdom: An essay on how Web 2.0 and Semantic Web can foster a global knowledge society
Computers in Human Behavior
Identifying multilingual Wikipedia articles based on cross language similarity and activity
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Social networking, distributed problem solving and human computation have gained high visibility. Wikipedia is a well established service that incorporates aspects of these three fields of research. For this reason it is a good object of study for determining quality of solutions in a social setting that is open, completely distributed, bottom up and not peer reviewed by certified experts. In particular, this paper aims at identifying semantic convergence of Wikipedia articles; the notion that the content of an article stays stable regardless of continuing edits. This could lead to an automatic recommendation of good article tags but also add to the usability of Wikipedia as a Web Service and to its reliability for information extraction. The methods used and the results obtained in this research can be generalized to other communities that iteratively produce textual content.