Andreas Blumauer

PoolParty: SKOS is the basis for Enterprise Knowledge Graphs

The latest release of PoolParty Thesaurus Server offers a comfortable GUI to extend SKOS thesauri by other RDF schemas in order to create highly linkable knowledge graphs which now can be deployed into a Virtuoso RDF database.

In its core, PoolParty is built upon SKOS, W3C’s standard to define controlled vocabularies like taxonomies or thesauri. However, the latest release 3.2.2 of the well known Thesaurus Software offers a highly flexible RDF schema editor to introduce either widely accepted schemas like FOAF or SIOC or even individual ones, customized to one’s own needs.

“This extension of PoolParty offers new options to our clients to create highly expressive knowledge graphs. Custom schemas can also be used to make links between differing enterprise vocabularies. One the other hand we have taken care not to overload the PoolParty user interface with unwanted complexity”, says Helmut Nagy, COO of the Semantic Web Company.

Watch this video to get an impression how this new feature works:

In addition to “Custom Schemas”, PoolParty Thesaurus Server is now integrated with Virtuoso Universal Server. Thesaurus managers can ‘deploy’ stable versions of their knowledge graphs into a Virtuoso RDF store. Virtuoso is well-known for its high performance even when complex queries are made across different (named) graphs.

The following video will show a short demo of this brandnew feature which opens up completely new options for big data solutions based on enterprise linked data integration:

To get a complete overview over all new features of PoolParty Thesaurus Server 3.2.2, please take a look at the release notes.

Jana Herwig

Read this: Linking Social Networks on the Web with FOAF

Jennifer Golbeck, Matthew Rothstein. Linking Social Networks on the Web with FOAF: A Semantic Web Case Study. Proceedings of the Twenty-Third Conference on Artificial Intelligence (AAAI’08).
Download (PDF, 320 KB).

One of the core goals of the Semantic Web is to store data in distributed locations, and use ontologies and reasoning to aggregate it. Social networking is a large movement on the web, and social networking data using the Friend of a Friend (FOAF) vocabulary makes up a significant portion of all data on the Semantic Web. Many traditional webbased social networks share their members’ information in FOAF format. While this is by far the largest source of FOAF online, there is no information about whether the social network models from each network overlap to create a larger unified social network model, or whether they are simply isolated components. In this paper, we present a study of the intersection of FOAF data found in many online social networks. Using the semantics of the FOAF ontology and applying Semantic Web reasoning techniques, we show that a significant percentage of profiles can be merged from
multiple networks. We present results on how this affects network structure and what it says about relationships and individual behavior. Finally, we discuss the implications this has for using web-based social networking data to create intelligent user interfaces and social software.

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Thomas Schandl SIOC Semantic Data Competition starts September 1st

Ireland’s largest online community is offering a massive amount of data for download. It contains all the data from 10 years of discussions with topics ranging from banter through politics to philosophy, and is semantically marked up with SIOC and FOAF, which amounts to more than 9 million RDF/XML documents.

Additionally DERI is starting a competition looking for the most innovative use of these data. According to John Breslin, this could be

a novel web application that makes use of the data set, a report on analyses performed on the data, a tool that allows one to visualise or browse the semantic structure, or whatever else the imagination can come up with!

During my stay at DERI over the last couple of months, I worked on exporting and preparing this data set, so I am delighted that it is now used for this competition. It starts on the 1st of September and runs for two months. The prices for the top three submissions amount to a total of $7000.

Read about the details, sign up and download the dataset here. Damien Mulley already has a couple of ideas of what one could do with these data.