Mining Meaning from Wikipedia
Medelyan, Olena, Milne, David, Legg, Catherine, Witten, Ian H.
–arXiv.org Artificial Intelligence
Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This article provides a comprehensive description of this work. It focuses on research that extracts and makes use of the concepts, relations, facts and descriptions found in Wikipedia, and organizes the work into four broad categories: applying Wikipedia to natural language processing; using it to facilitate information retrieval and information extraction; and as a resource for ontology building. The article addresses how Wikipedia is being used as is, how it is being improved and adapted, and how it is being combined with other structures to create entirely new resources. We identify the research groups and individuals involved, and how their work has developed in the last few years. We provide a comprehensive list of the open-source software they have produced.
arXiv.org Artificial Intelligence
May-9-2009
- Country:
- South America > Brazil (0.04)
- Atlantic Ocean (0.04)
- Oceania
- Australia (0.04)
- New Zealand > North Island
- Waikato (0.04)
- Auckland Region > Auckland (0.04)
- North America
- United States
- Texas (0.14)
- New York (0.04)
- Louisiana (0.04)
- Hawaii (0.04)
- District of Columbia > Washington (0.04)
- Massachusetts > Middlesex County
- California > Santa Clara County
- Cupertino (0.04)
- Mountain View (0.04)
- Canada > Ontario
- Middlesex County > London (0.14)
- United States
- Europe
- Portugal (0.04)
- Monaco (0.04)
- France (0.04)
- United Kingdom
- Wales (0.04)
- England > Greater London
- London (0.04)
- Spain
- Galicia > Madrid (0.04)
- Canary Islands > Tenerife (0.04)
- Netherlands
- Zeeland (0.04)
- North Holland > Amsterdam (0.04)
- Germany
- Saxony > Leipzig (0.04)
- Hesse > Darmstadt Region
- Darmstadt (0.04)
- Baden-Württemberg > Karlsruhe Region
- Karlsruhe (0.04)
- Austria > Tyrol
- Innsbruck (0.04)
- Asia
- Genre:
- Research Report > New Finding (1.00)
- Overview (1.00)
- Industry:
- Leisure & Entertainment > Sports (0.92)
- Education (0.92)
- Information Technology (0.67)
- Law Enforcement & Public Safety (0.67)
- Health & Medicine > Therapeutic Area (0.67)
- Media
- Government > Regional Government
- Technology:
- Information Technology
- Communications
- Social Media (1.00)
- Web > Semantic Web (0.93)
- Artificial Intelligence
- Representation & Reasoning > Ontologies (1.00)
- Cognitive Science > Problem Solving (1.00)
- Natural Language
- Text Processing (1.00)
- Information Retrieval (1.00)
- Grammars & Parsing (0.93)
- Machine Learning
- Inductive Learning (1.00)
- Performance Analysis > Accuracy (0.67)
- Learning Graphical Models > Directed Networks
- Bayesian Learning (0.67)
- Communications
- Information Technology