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This makes the state of Web Archiving as a discipline particularly difficult to ascertain. This paper presents an approach to building a collection of articles about the subject. We begin with a small dataset of articles taken from a Web Archiving Bibliography and then proceed to expand it by crawling the Web and collecting additional documents. The crawled documents are then classified using machine learning classification techniques. We show that by extracting the documents\u2019 titles and abstracts and representing them using the \u201cbag of words\u201d approach, we are able to accurately identify documents from the Web crawler as documents that are about Web Archiving. We also discuss our results in the context of Web Archiving as an emerging field.<\/jats:p>","DOI":"10.1002\/meet.2014.14505101150","type":"journal-article","created":{"date-parts":[[2015,4,24]],"date-time":"2015-04-24T17:19:02Z","timestamp":1429895942000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Towards building a collection of web archiving research articles"],"prefix":"10.1002","volume":"51","author":[{"given":"Brenda Reyes","family":"Ayala","sequence":"first","affiliation":[{"name":"Library and Information Science University of North Texas  Denton TX 76203"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelia","family":"Caragea","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering University of North Texas  Denton TX 76203"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2015,4,24]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2009.04.002"},{"key":"e_1_2_9_3_1","doi-asserted-by":"crossref","unstructured":"Bergmark D. 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