Volltext-Downloads (blau) und Frontdoor-Views (grau)

Using a domain ontology for the semantic-statistical classification of specialist hypertexts

  • In this feasibility study we aim at contributing at the practical use of domain ontologies for hypertext classification by introducing an algorithm generating potential keywords. The algorithm uses structural markup information and lemmatized word lists as well as a domain ontology on linguistics. We present the calculation and ranking of keyword candidates based on ontology relationships, word position, frequency information, and statistical significance as evidenced by log-likelihood tests. Finally, the results of our machine-driven classification are validated empirically against manually assigned keywords.

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Roman Schneider, Noah Bubenhofer
URN:urn:nbn:de:bsz:mh39-39840
URL:http://www.dialog-21.ru/en/digest/2010/
ISBN:5-7281-1148-1
Parent Title (English):Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” / Komp'juternaja lingvistika i intellektual'nye tehnologii. Po materialam ezhegodnoj Mezhdunarodnoj konferencii „Dialog“, Bekasovo, 26.-30. Mai 2010
Place of publication:Moskva
Document Type:Conference Proceeding
Language:English
Year of first Publication:2010
Date of Publication (online):2015/08/17
Creating Corporation:Izdatel’stvo Rossijskogo Gosudarstvennogo Gumanitarnogo Universiteta (RGGU) / Staatliche Universität für Sozial- und Geisteswissenschaften Moskau (RGGU)
GND Keyword:Deutsch; Grammatik; Linguistische Datenverarbeitung; Semantisches Netz; Wissenspräsentation
First Page:622
Last Page:628
Dewey Decimal Classification:400 Sprache / 430 Deutsch
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG