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We present a system to automatically generate RSS feeds from HTML documents that consist of time-series items with date expressions, e.g., archives of weblogs, BBSs, chats, mailing lists, site update descriptions, and event announcements. Our system extracts date expressions, performs structure analysis of a HTML document, and detects or generates titles from the document.

The paper presents an approach to automatic annotation of learning objects' (LOs) content units that we tested in TANGRAM, an integrated learning environment for the domain of Intelligent Information Systems. The paper mainly reports on the contentmining algorithms and heuristics applied for determining values of certain metadata elements used to annotate content units. Specifically, the focus is on the following elements: title, description, subject (based on a domain ontology), and pedagogical role (based on an ontology of instructional context).