Konferenzbeitrag

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.

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

Urheber*in: Schneider, Roman; Bubenhofer, Noah

In copyright

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Language
Englisch

Subject
Linguistische Datenverarbeitung
Wissenspräsentation
Semantisches Netz
Grammatik
Deutsch
Germanische Sprachen; Deutsch

Event
Geistige Schöpfung
(who)
Schneider, Roman
Bubenhofer, Noah
Event
Veröffentlichung
(when)
2015-08-17

URN
urn:nbn:de:bsz:mh39-39840
Last update
06.03.2025, 9:00 AM CET

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Object type

  • Konferenzbeitrag

Associated

  • Schneider, Roman
  • Bubenhofer, Noah

Time of origin

  • 2015-08-17

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