And Semantic Technologies

Semantic Technologies Tutorial

Full Day Tutorial

Our tutorial targets ontology designers, engineers, and practitioners
(including generic skilled web users). The tutorial provides a method based
on good practices i.e., ontology design patterns, for the development of
ontologies. We illustrate theoretical aspects of ontology design patterns, and
analyse some relevant samples taken from a catalogue of ontology design
patterns. The tutorial includes a hands-on session with ontology design
activities, performed by using the available state of art platforms.

2. What Semantic Web researchers need to know about Machine Learning

Presenters: Marko Grobelnik, Blaz Fortuna, Dunja Mladenic

Semantic web and Machine Learning are covering conceptually different sides of the same story – Semantic Web’s typical approach is top-down modeling of knowledge and proceeding down towards the data while Machine Learning is almost entirely data-driven bottom-up approach trying to discover the structure in the data and express it in the more abstract ways and rich knowledge formalisms.

While ESWC conference covers mainly top-down style of approaches we can spot in the recent time strong moves toward using also data-driven bottom-up approaches, especially in the context of modeling data from the web and dealing with Web2.0 related research.

The goal of this tutorial is to provide understanding of analytical techniques from Machine Learning and related research fields which could be used to model Semantic Web related problems. The aim is to explain the topics in an intuitive way which could serve for later understanding of relevant Semantic Web problems also in the light of data-driven approaches.

Presenter: Harry Halpin

Half Day Tutorial

Social networking websites are growing rapidly, and for many users they
are the primary way they interact with the Web. Users can not control
their data and have their data spread out over multiple incompatible
services. Each of these social networking websites has different
standards for exporting their data using APIs. How can we get all of
these technologies to integrate, so users can control their own social
graph and not have their identity spread out over diverse and
incompatible web-sites? Recent efforts at
show that there is widespread interest
in opening the social graph from users, developers, and even vendors.
The Semantic Web may just be part of the answer.

This hands-on tutorial will step by step introduce the users to social
networking in general, social networking tools such as the openSocial
API, FBXML, XFN, and OpenID. Then, we will show how FOAF, GRDDL, and

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