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(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.
The evolution of computer technologies and the introduction of the World Wide Web (WWW) have substantially changed the way scientific articles and books are published today. Besides writing for "traditional" print media, more and more authors decide to reach a larger audience and to decrease distribution time by offering their works on the internet. The electronic medium not only facilitates the spread of information, it also adds new value by extending the possibilities of knowledge retrieval. Of course the same is true for structured data collections like scientific glossaries, dictionaries or bibliographies. They particularly profit from the web when being accessible via user-friendly and effective frontends. The following chapters deal with the transformation of the Bibliography of German Grammar (“Bibliografie zur deutschen Grammatik”) from a data pool primarly used for print publishing to a relational database application offering a basis for media-independent distribution. Starting with a short description of the beginnings of the bibliography, the focus of this article lies on the explanation of our current database design as well as on the presentation of the web-based user interface.