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If researchers create descriptors of their papers in the form of description logics (DL) ABoxes (assertion components) according to a DL ontology, then by using currently available software, computers can reason over the ABoxes to infer semantic consequences of the assertions in the descriptor. One open issue is how best to render information contained in the ABox for a particular user based on that user's knowledge requirements and background knowledge, including language preference. Natural language generation (NLG) is a method for rendering computer\u2010interpretable statements, content models, in human\u2010readable form, natural language text. ABoxes could be used as content models for NLG with particularly rich semantics. In particular, ABoxes could be used to generate expressions of expert knowledge in languages different from the original language that are more accurate and more tailor\u2010fit to the user's cognitive state than existing methods for translating scientific papers. A method for generating natural language expressions from ABoxes in English and Japanese is presented and compared with a state\u2010of\u2010the\u2010art expert translation software package.<\/jats:p>","DOI":"10.1002\/meet.2009.1450460265","type":"journal-article","created":{"date-parts":[[2010,1,29]],"date-time":"2010-01-29T15:41:17Z","timestamp":1264779677000},"page":"1-18","source":"Crossref","is-referenced-by-count":3,"title":["Using human authored description logics ABoxes as concept models for natural language generation"],"prefix":"10.1002","volume":"46","author":[{"given":"Steven","family":"Kraines","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weisen","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2010,11,18]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11168-005-1298-9"},{"key":"e_1_2_7_3_1","unstructured":"BatemanJ. 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