Excavating the mother lode of human-generated text: A systematic review of research that uses the Wikipedia corpus

Research output: Contribution to journalJournal article – Annual report year: 2016Researchpeer-review



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Although primarily an encyclopedia, Wikipedia’s expansive content provides a knowledge base that has been continuously exploited by researchers in a wide variety of domains. This article systematically reviews the scholarly studies that have used Wikipedia as a data source, and investigates the means by which Wikipedia has been employed in three main computer science research areas: information retrieval, natural language processing, and ontology building. We report and discuss the research trends of the identified and examined studies. We further identify and classify a list of tools that can be used to extract data from Wikipedia, and compile a list of currently available data sets extracted from Wikipedia.
Original languageEnglish
JournalInformation Processing & Management
Issue number2
Pages (from-to)505–529
Number of pages25
Publication statusPublished - 2017
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Information retrieval, Information extraction, Natural language processing, Ontologies, Wikipedia, Literature review

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