Using a domain ontology for the semantic- statistical classifi cation of specialist hypertexts
Roman Schneider, Noah Bubenhofer · Publication Server of the Institute for German Language (Institute for German Language) · 2010
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.