Welcome to the Personal Publication Reader!

This application demonstrates how to provide personalized, syndicated views on distributed Web data using Semantic Web technologies. The application comprises three steps: The information gathering step, in which information from distributed, heterogeneous sources is extracted and enriched with machine-readable semantics; the reasoning step in which rules reason about the created semantic descriptions and additional knowledge-bases like ontologies and user profile information, and the user interface creation step in which the semantic descriptions resulting the reasoning step are interpreted and translated into a personalized user interface.

You can watch

• a video introducing the Personal Publication Reader and the technologies used by this application

• a video showing in detail the Web data extraction step,

• a video showing in detail the maintenance and automation of the Web data extraction process, ensuring up-to-date information and semantic descriptions of information.

You can access

• the Personal Publication Reader at http://personal-reader.de:8080/pprvs/ , login “challenge”, password “challenge”.

Use Scenario: The Personal Publication Reader has been developed for the Network of Excellence REWERSE and provides a personal interface to the publications developed by partners in REWERSE: All web-pages containing information about publications of the REWERSE partners are periodically crawled and new information is automatically detected, extracted and indexed in a repository of semantic descriptions of the REWERSE publications. This information, together with extracted information on the project REWERSE, on people involved in the project, their research interests, etc., is used to provide more information on each publication:

• who has authored it

• which research groups are related to this kind of research

• which other publications are published by the research group

• which other publications of the author are available

• which other publications are on the similar research

• etc.

Greetings! The Personal Reader Team

Contact: University of Hannover: Nicola Henze, henze@l3s.de,
Technical University of Vienna and Lixto GmbH: Robert Baumgartner, baumgart@dbai.tuwien.ac.at,.