Mining Meaning from Wikipedia

By Olena Medelyan, Catherine Legg, David N. Milne, Ian H. Witten. Int. J. Hum. Comput. Stud., 2008

419 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Communication

View Paper: https://www.semanticscholar.org/paper/a67be688df763918a060240ceceeffd042c9aaf0

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Citations in the corpus

BabelNet: Building a Very Large Multilingual Semantic Network (2010, methodology): “…been recently devoted to the automatic extraction of structured information from Wikipedia (Wu and Weld, 2007; Ponzetto and Strube, 2007; Suchanek et al., 2008; Medelyan et al., 2009, inter alia ), the knowledge extracted is organized in a looser way than in a computational lexicon such as WordNet.”
Overview of the TAC 2010 Knowledge Base Population Track (2010, background): “Wikipedia articles are peppered with structured information and hyperlinks to other (on average 25) articles (Medelyan et al., 2009).”
A framework for benchmarking entity-annotation systems (2013, methodology): “Wikipedia Miner is an implementation of the Wikification algorithm presented in [16, 11], one of the first approaches proposed to solve the entity-annotation problem.”
Entity based Q&A Retrieval (2012, background): “2.4 ETLM wiki : Estimating from Wikipedia Number of symmetric measures have been proposed (Medelyan et al., 2009) to measure semantic relationships between entities and words using Wikipedia.”
An open-source toolkit for mining Wikipedia (2013, background): “[18] provide a comprehensive survey—the research community surrounding Wikipedia is clearly in a healthy state.”
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network (2012, background): “Recently, the increasing availability of online collaborative resources has attracted the attention of many researchers in the Artificial Intelligence community [69].”