the time of data interoperability is comming

The Web technologies change incredibily fast and i'm happy about this fact. We are getting a step closer to the idea of Web 4 - one sense, more interpretations.

In our paper "Getting to "Know" People on the Web 2.0" Yiwey Cao, Anna Glukhova, Ralf Klamma and I highlighted the problem of Web2.0 data interoperability and solutions of the issue.

A feed is one of not numerous Web uniform format. Now with Calais Yahoo! Pipes Web Service it is possible to combine feeds that are filtered by concepts defined in Open Calais repository. These are famous persons, companies, general concepts and many others. The number of concepts in repository has been multiplied since the start of the Open Calais project.

So now it is easier to collect the news you want to know about. Open Calais and Yahoo sort it for you. Things, that miss, are impact and attitude. You've never know how highly the feed is ranked and what do authors think about the topic. In our chair we are dealing with these flaws and hopefully will have interesting results to report.

How can our experiences be followed?

Several days ago i read somewhere that experiences influence our emotions. That is a direct alarm for me to summarize that all operations we are performing in our life, at least virtual one, play roles in emotions we are producing. Therefore I can conclude that those two notions, operations (participatory design methods, media processes, user actions - call them as you want) and emotions are connected notions. One can either follow the actions accompanied with emotions like it was done in Situation Modeling and Smart Context Retrieval with Semantic Web Technology and Conflict Resolution or differentiate between those as different actors of a community system (when presented like an actor network model).

Some scholars follow the experiences through ontologies that help to summarize semantics in an ontology object and highlight connections between different entries. The approach applied in PALADIN: A Pattern Based Approach to Knowledge Discovery in Digital Social Networks uses a pattern approach. One can say that patterns can be like ontology objects when those are defined by the semantics and relationships between patterns are specified. Although a higher level of abstaction(for ontologies are concepts) is lacking, it is a moot point. The hierarchy can be specified by relations. Patterns exceed onlologies by a relatively easy language. So that it is natural for a user to construct a semantic knowledge base for his needs.