The Personal Publication Reader

Abstract

Abstract. This application demonstrates how to provide personalized, syndicated views on distributed web data using Semantic Web technologies. The application comprises four steps: The information gathering step, in which information from distributed, heterogenous sources is extracted and enriched with machine-readable semantics, the operation step for timely and up-to-date extractions, 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 RDF-descriptions resulting from the reasoning step are interpreted and translated into an appropriate, personalized user interface. We have developed this application for solving the following real-world problem: We provide personalized, syndicated views on the publications of a large European research project with more than twenty geographically distributed partners and embed this information with contextual information on the project, its working groups, information about the authors, related publications, etc.

A User Interface to Define and Adjust Policies for Dynamic User Models

“…Both Syndication and Personalization Services are able to access and store user data which is supplied by a centralized User Modeling Service. Several applications have been implemented with the Personal Reader Framework like the Personal Publication Reader (Abel et al, 2005), the MyEar music recommender (Henze and Krause, 2006) or the Agent 1 .…”

Enabling Advanced and Context-Dependent Access Control in RDF Stores

“…The Personal Reader [1] is a distributed multi-service and multi-user environment. In the Personal Reader Framework there exist many modular applications divided into (i) Personalization Services for accessing and personalizing Semantic Web data sources (ii) Syndication Services for aggregating and processing data provided by other services and (iii) User Interfaces which can be accessed by different users.…”