Web page classification using unsupervised and semi-supervised clustering techniques

Kurzfassung

n light of ever increasing amounts of data, the efficientand robust search and retrieval of information from different open and closed data sources is a central task. The quality of search can be improved by metadata extraction and enrichment. Web page classification, i.e., assigning one or more thematic classes to web pages, is a central task in this regard. In this abstract, we address the adaptable and content-based classification of web pages in order to support specific and domain-focused search scenarios.