• semantics still need to be better captured, using JSON does not solve anything – I would use an OWL model to define the standard
• the model will need to be extended, another argument for using RDF/OWL
• Facebook seems to be preparing for competing with linkedin, which is very natural imho I base this assumption on example dataset:

"work": [
{
"employer": {
"id": 20531316728,
"name": "Facebook"
},
"position": {
"id": 111595812193665,
"name": "Director, Product"
},
"start_date": "2009-08"
},


• profile model is really poor, it should be much more like in the address book (telephones etc) – base it on the vcard
• they still try to keep the social web in frame of their own portal. it would be better to claim ownership of a protocol and semantic model which every portal can use (become the main layer in the service architecture)

P.S. The old “Chinese” curse is fulfilled. We are living in exciting times.

There is a bunch of definitions about each of the terms, here I try to define with the purpose of marking the main differences and relations between “inference”, “reasoning” and “consistency check”.

inference – the effect of triples added to a model achieved via reasoning (using OWL / SWRL rules / etc.)

reasoning – process of calculating logical consequences from a set of asserted facts or axioms (from wiki). The goal of reasoning can be an inference or a consistency check.

consistency check – verify if there are no logical clashes (contradictions) in the given model

Well, at least it’s good that he didn’t say “that terrible youtube movie will start” or something like that.
For that, still some things must change.

My current schedule (based on available information, might change when the info changes):
Day1:

• Towards a New Generation of Social Networks: Merging Social Web with Semantic Web
• Semantische Suche in Medienarchiven (praxis)
• Applying Organizational Learning to Enterprise Knowledge Maturing
• Understanding Maturity Models. Results of a Structured Content Analysis
• A Knowledge Workbench for Software Development
• The European Dictionary of Skills and Competences (DISCO): an Example of Usage Scenarios for Ontologies
• Web x.0 – Was bringt wirklich neuen Nutzen für Unternehmen? (praxis)
• Semantic Web Awareness Barometer 2009 – Comparing Research – and Application-oriented Approaches to Social Software and the Semantic Web
• Maturity and Applicability Assessment of Semantic Web Technologies

Day2:

• Can Software Developers Use Linked Data Vocabulary?
• Monitoring RSS Feeds
• Wissensmanagement im Projektmanagement (praxis)
• Der Einsatz von Web 2.0 in der Internen Kommunikation (praxis)
• Cooperation-Event

Day3:

• Ontology Change Management
• SALERO Intelligent Media Annotation & Search
• Best Practice Forum
• Die dunklen Seiten des Wissensmanagement und Web 2.0 (praxis)

See you there

To explain how that works, you will typically try model her to represent the world she lives in, and then you would have to reveal:

1. the modeling would typically start with defining her an owl:Thing

2. even if you don’t use a class, she would complain being someone’s property

3. owl:Nothing won’t make her happy, either