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Web ontology language is employed to represent this knowledge as ontology, and semantic web rule language is utilized to infer implicit facts among instances.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Document dispatching is highly domain dependent. Human perspectives being adopted as predefined knowledge in understanding document meanings are important. Knowledge\u2010intensive approaches such as ontology can model and represent expertise as reusable components. Ontology and rules together extend inference capabilities in semantic relationships between instances.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>Empirical lessons reveal that ontology with semantic rules can be utilized to model human subjective judgement as knowledge bases. An example, including ontology and rules, based on news dispatching is provided.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>An organization can classify and deliver documents to corresponding departments based on known facts by following the described procedure.<\/jats:p><\/jats:sec>","DOI":"10.1108\/02640470910979633","type":"journal-article","created":{"date-parts":[[2009,10,5]],"date-time":"2009-10-05T10:27:49Z","timestamp":1254738469000},"page":"694-707","source":"Crossref","is-referenced-by-count":5,"title":["Ontology and semantic rules in document dispatching"],"prefix":"10.1108","volume":"27","author":[{"given":"Yu\u2010Liang","family":"Chi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hsiao\u2010Chi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022030820005682700_b1","doi-asserted-by":"crossref","unstructured":"Berners\u2010Lee, T., Hendler, J. and Lassila, O. 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