--- res: bibo_abstract: - This paper presents an approach to extract data records from websites, particularly ones with event calendars. We therefore use language-specific key expressions and HTML patterns to recognize every single event given on the investigated web page. One of the most remarkable advantages of our method is that it does not require any additional classification steps based on machine learning algorithms or keyword extraction methods; it is a so-called one-step mining technique. Our experimental results obtained on German opera websites show excellent results in precision and recall. Furthermore, we could demonstrate that our proposed technique outperforms other data record mining applications run on event sites.@eng bibo_authorlist: - foaf_Person: foaf_givenName: Yeong Su foaf_name: Lee, Yeong Su foaf_surname: Lee - foaf_Person: foaf_givenName: Michaela foaf_name: Geierhos, Michaela foaf_surname: Geierhos foaf_workInfoHomepage: http://www.librecat.org/personId=42496 orcid: 0000-0002-8180-5606 dct_date: 2009^xs_gYear dct_language: eng dct_title: Key Expression driven Record Mining for Event Calendar Search@ ...