Harava is an aggregation and validation system for semantic web
metadata. It is currently suitable for processing HealthFinland
document-oriented metadata and ActivityFinland event information.
Harava collects semantic information (RDF, RDFa, Dublin Core HTML metadata
etc) from web sources, validates it according to a chosen schema, and
produces a clean RDF output file that can then be used and stored in a
content management system or other data repository.
Aalto University, Laboratory of Media Technology
Prof. Eero Hyvönen
Aalto University, Laboratory of Media Technology and University of Helsinki
Sven Buschbeck, Anthony Jameson, Raphael Troncy, Houda Khrouf, Osma Suominen and Adrian Spirescu: A Demonstrator for Parallel Faceted Browsing
. Proceedings of the IESD Challenge track at the International Workshop on Intelligent Exploration of Semantic Data (IESD 12)
, Galway, Ireland, October, 2012. bib pdf
Osma Suominen and Eero Hyvönen: Expressing and Aggregating Rich Event Descriptions
. Proceedings of the 6th Workshop on Scripting and Development on the Semantic Web
, Heraklion, Greece, May, 2010. bib pdf
Publishing information about upcoming events such as concerts and discussion group meetings in a structured format allows the event information to be aggregated, filtered and delivered to potential participants. Making automatic personalized recommendations about events requires structured metadata such as machine-understandable locations and semantic descriptions about the topic and audience of the event. We present a survey of the state of current semantic representation formats for events, including iCalendar and its RDFa and microformat representations, and show that their support for expressing rich structured metadata is limited. We have also tested how well different tools support and understand the formats. Based on the surveys we have implemented a rich event information schema for a health-oriented activity portal and developed an aggregation and validation tool for gathering and processing event information.