May be I should try it in country-wide.

My adviser already has a proposal on multimedia related systems and suggests me to consider it. I may combine those studies with ontology based infrastructure and come up with new subjects. But still an idea …

I’m listed in Semantic Web Twitter Pack as Semantic Web people to follow in twitter. Thanks to @CleverClogs

1. Barracks
2. Train soldiers (mixed)
3. Power Planet
4. 2 Ore Mines
5. War Factory
6. Super Reactor

I always follow my opponent’s movements and decide how to strike. It may air, ground or super weapon attack.

I’m not just playing games but reading papers on machine learning techniques which are used in ontology learning for semantic web. Also, I’m preparing a schedule for 2009 conferences and our plan is to have something valuable till April so, we can submit it this year’s events.

I’m still trying to make a decision to apply this internship or not.

• specify my theses subject ( probably on semantic web)
• focus on some important (and funny) projects.
• blog more about python(python euro ) and semantic web
• practice some Red Alert 3 against Japanese
• add new things to this todo list

Trying to figure out Is it possible to say “free for a while” while having this list.

Why didn’t I quit and sleep instead of blogging?

On the other hand, user contributed data (social media & networks) grows enormously so, we have to spend our time  by eliminate unnecessary data and pick up useful ones. There are two ways to handle this situation; intelligent applications or meaningful data. When we consider development and maintaining costs intelligent applications would be a failure. Giving meaning to data seems more applicable, at this point semantic web plays the role.

By definition;

Semantic web is the extension of the current web which delivers extra information
in well formed machine readable structure.

Web 2.0 is the new way of delivering information with user friendly designs, web services,
social networks, blogs, videos … etc.

Web 3.0 is the evolution of the Web 2.0.

Actually, Web 3.0 is going to be integration of social media with semantic web; adding semantic structure to user contributed data.

So, if you have machine readable data, smart agents can be developed to handle daily tasks you have to do. For example, if you need to buy a book, let it to be done by your agent.  It will seek and find the cheapest book and give an order for you. It is not only for machines, it might change the way we surf the web. For example, semantic web for e-government projects aim to provide all necessary information in one place (website).

However, it might have some issues like security and privacy. Also, semantic structures will result in the rise of agents and new types of spams.

Semantic Web research areas have been increasing and spreading and more companies investing for theses technologies. I hope I can take part in these research projects and develop something useful.

1. Ontology Learning and Metadata Generation (e.g., HLT and ML approaches)
2. Semantics in P2P Computing
3. Semantic Web for e-Business, e-Science, e-Health, e-Culture, e-Government, e-Learning and other application domains
4. Social networks and processes on the Semantic Web

We’ve decided these topics during the meeting before the holiday with my advisers  from both ex and new university. In my opinion these are more promising and familiar to me but I still can change it whatever I like and  any help will be applicable.

Tomorrow night, I will be leaving from Konya and will be at the office Monday morning in İstanbul.

Some topics that would be more important:

1. Semantic Web Data and Ontologies have been discussed for years but Interoperability of data on the Semantic Web is becoming more popular.
2. Semantic Web Services and service standards, testing, monitoring, security issues.
3. Semantics in P2P Computing
4. Interoperability of applications on the Semantic Web
5. Data mining on the Semantic Web
6. Social networks and Semantic Web
7. Semantic Web for collaboration and cooperation
8. Usability, performance, scalability issues for Semantic Web technologies

Semantic Web Services and Data mining on the Semantic Web seem to be more suitable for me but I haven’t found what I really want. I should keep searching and asking to people about semantic technologies.

It is MS program in Computer Engineering at Istanbul University. I registered 3 courses; Advanced Computer Architectures, Image Processing Techniques for Computer Engineering, Computer Language Engineering for fall semester.  You can access course details by this link.

I haven’t decided my thesis subject yet but, I feel that it seems to be about Semantic Web, AI (like knowledge presentation, machine learning …) or Information Retrieval (IR) systems.

Nowadays, I’m dealing with Latent Semantic Analysis (LSA) or Latent Semantic Indexing (LSI).  It is a new subject but growing fast among next generation web search engines (like Google, Hakia … etc).  It needs some mathematical skills like linear algebra to analyze data. If I had been told this relation before I would payed more attention to mathematics than I did. Anyway, my mathematical knowledge is still fine I can find (solve) what I need (for now).  I’ll try to write much about my academic studies and interests.

First tweet;
I want to read this book but I’m not sure if it’d worth to read.

Second tweet;
Netbeans 6.5 rc1 is available.