Abstract
This paper presents a flexible and semi-automatic extractor to build personalized learning objects. The extraction is made using an ontology and a matching grammar defined by the user. The ontology describes the concepts/classes and the relations between these concepts/classes. The learning objects we want to obtain from the web pages are instances of the ontology. The grammar describes rules for matching the ontology concepts/classes to the HTML content. Its rules apply to both HTML format and text. The result is a graph of objects matched in the HTML files, objects that are instances of the concepts/classes in ontology.
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