Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Identifying Document Topics Using the Wikipedia Category Network
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Creating, destroying, and restoring value in wikipedia
Proceedings of the 2007 international ACM conference on Supporting group work
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
The effects of diversity on group productivity and member withdrawal in online volunteer groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 4th workshop on Information credibility
Visualizing and exploring evolving information networks in Wikipedia
ICADL'10 Proceedings of the role of digital libraries in a time of global change, and 12th international conference on Asia-Pacific digital libraries
Handling flammable materials: Wikipedia biographies of living persons as contentious objects
Proceedings of the 2011 iConference
Co-authorship 2.0: patterns of collaboration in Wikipedia
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
High-order co-clustering text data on semantics-based representation model
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Wikipedia world map: method and application of map-like wiki visualization
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Text clustering based on granular computing and wikipedia
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Mining Fuzzy Domain Ontology Based on Concept Vector from Wikipedia Category Network
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
From names to entities using thematic context distance
Proceedings of the 20th ACM international conference on Information and knowledge management
Information Quality in Wikipedia: The Effects of Group Composition and Task Conflict
Journal of Management Information Systems
Metabrain: web information extraction and visualization
Proceedings of the International Working Conference on Advanced Visual Interfaces
Tagging Wikipedia: collaboratively creating a category system
Proceedings of the 17th ACM international conference on Supporting group work
Computing Semantic Relatedness Based on Search Result Analysis
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A comparative study of academic and Wikipedia ranking
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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Wikipedia is an online encyclopedia which has undergone tremendous growth. However, this same growth has made it difficult to characterize its content and coverage. In this paper we develop measures to map Wikipedia using its socially annotated, hierarchical category structure. We introduce a mapping technique that takes advantage of socially-annotated hierarchical categories while dealing with the inconsistencies and noise inherent in the distributed way that they are generated. The technique is demonstrated through two applications: mapping the distribution of topics in Wikipedia and how they have changed over time; and mapping the degree of conflict found in each topic area. We also discuss the utility of the approach for other applications and datasets involving collaboratively annotated category hierarchies.