This presentation was presented by Marko Grobelnik (JSI) at the PlanetData project Kick-off Meeting on October 11, 2010 in Palma de Mallorca, Spain.

1. Marko Grobelnik (marko.grobelnik@ijs.si)
Jozef Stefan Institute (http://www.ijs.si/)
Ljubljana, Slovenia

2. Dealing with data
Natural
Databases Language Machine
Social Semantic Web Processing Learning / Information
Network Data Mining Retrieval
Analysis
Storing / Model
querying Community Interoperability Text discovery Search

3.  Integration of three key scientific paradigms
◦ Top-down approaches – model driven
 (Semantic Web, KRR, Traditional NLP)
◦ Bottom-up approaches – data driven
 (Machine Learning, Data Mining, Social Network Analysis,
Information Retrieval, Modern NLP)
◦ Collaborative approaches – community driven
 (Web2.0, Social Computing)
 …integration of ideas from different paradigms
opens possibilities to solve problems which were
not easy solvable before

4.  Research areas (such
as IR, KDD, ML, NLP,
Usage
SemWeb, …) are sub-
cubes within the data Quality
cube
Context
Dynamicity
Scalability

6. Can we learn
from listed
technologies?

8. Can we learn
from listed
technologies?

11.  One possible conclusion:
◦ Future lies in uncovered parts of the data cube
◦ …note that items on data cube are changing
 Upcoming technology trends combine
existing “healthy” technologies as building
blocks