Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Proceedings of the 10th international conference on World Wide Web
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
A theory of local-to-global algorithms for one-dimensional spatial multi-agent systems
A theory of local-to-global algorithms for one-dimensional spatial multi-agent systems
OVerFA: a collaborative framework for the semantic annotation of documents and websites
International Journal of Web and Grid Services
Answering learners' questions by retrieving question paraphrases from social Q&A sites
EANL '08 Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications
On model design for simulation of collective intelligence
Information Sciences: an International Journal
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Introduction to Machine Learning
Introduction to Machine Learning
A large-scale active learning system for topical categorization on the web
Proceedings of the 19th international conference on World wide web
Automated web service query service
International Journal of Web and Grid Services
Social community based blog search framework
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
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One source of collective intelligence on the internet is the Question and Answer (Q&A) data available from many Q&A sites. Although such data has been helpful to many people, its helpfulness is limited. The data is dispersed across different sites. Even on the same site, the data is often not properly organised or ranked. This paper proposes a framework for constructing and extending a Q&A thesaurus for various applications, including online commerce. We have implemented the framework, and validated the accuracy of Q&A data classification.