The Codovation Blog

Agile Werte und Prinzipien - Der Weg von Zen Agile

Bastian — Wed, 31 Mar 2010 22:05:51 +0000

Zen Agile

View more presentations from mrdoubleb.

8 Steps of good decisions

Bastian — Wed, 31 Mar 2010 21:00:30 +0000

Sorry, this entry is only available in German.

Where is it? Standardized Data Models for persons customers and organizations

Bastian — Tue, 14 Jul 2009 18:57:54 +0000

I just ask myself why there are no initiatives to develop standardized data models for customer and organizational data - maybe I didn’t find it yet. But, wouldn’t it be such an improvement to not just talk about databases or data stores but about MDM stores. Don’t get me wrong, I do not think about building another CRM system with another “best data model“. I think about finding something in between providing applications and infrastructural engines. An commercial computing infrastructure which implicitly contains all the basic data models such as “Customer”, “Organization“, “Product” and so on. This would lead to a boost in interoperability of systems, data quality, …

What do you think. Right now its just a thought while listening to a talk of Adrian Cole of jcloud….

Semantic Web + Master Data Management = Huge Innovation Oportunities?

Bastian — Fri, 03 Jul 2009 21:40:54 +0000

Some weeks ago, I participated in a workshop about the Semantic Web at the FU Berlin, which was quite interesting. During that day I begun to ask myself how it could be possible to connect the systems used for Managing Business Master Data with the idea of the semantic web to build a corporate data web which solves all the integration and retrieval problems Data Warehouses, OLAP, ETL (…) EAI, SOA, and Idenity Resolution Systems shall solve.

The more I thought about that idea the more I was confident that this will be a huge trend within the next 5 to 10 years. With RDF, Tripple Stores and their brothers and sisters enterprises will be able to connect the data within silos with the data of other silos. They will be able to retrieve external data and connect it on the model level by just extending and or transforming the underlying moder graphs. This idea, as any other idea isn’t new, as this link of IBM Research shows, but its still the very beginning of a fundamental swith in thinking about and handling corporate data: Humans and Maschines will be able to walk the graphs of data, identify relations between unknown entities and generate hypotheses and assumptions about the real world facts by just allowing the data to be connected by meaning and relationships; its just like it is in the real world.

To complete this post, I wanna give you an impressive List of videos and podcasts about the semantic web. Happy Watching:

http://www.semanticfocus.com/blog/entry/title/302-semantic-web-videos-and-podcasts/

Data becomes Knowledge through Data Exploration.

Bastian — Tue, 23 Jun 2009 04:20:25 +0000

Ever heard about Freebase Parallax? Just watch this video and be amazed

Freebase Parallax: A new way to browse and explore data from David Huynh on Vimeo.

Atizo.com - An open innovation platform

Bastian — Tue, 23 Jun 2009 04:06:15 +0000

Sorry, this entry is only available in German.

Envisioning the future

Bastian — Wed, 13 May 2009 19:20:24 +0000

Microsoft is definately not the kind of software company where I woukd see any future innovations, but this video is made quite nice:

New URL for this Blog

Bastian — Wed, 15 Apr 2009 18:52:25 +0000

Hey folks. There is little time to write new posts at the moment. I have to prepare for a detailed IT System certification process R24, the company I work for, will go through next week. Anyway, just for notification: This Blog is now accessible via www.codovation.com.

Web 3.0 is coming.

Bastian — Sat, 04 Apr 2009 06:16:03 +0000

At Web2.0 Expo Tim O’Reilly makes an interesting Key Note speech where he anticipates what Web3.0 will be all about. He compares the Web’s life cycle with the growing of a new born baby. As for the baby for Web1.0 there were loads of information that couldn’t be understood or connected. After a few month the oral phase makes the world interactively plumbable, i.e. the baby sticks things in it’s mouth and discovers that there are differences between materials and so on. This is where Web2.0 started. Today the Web is a child that can play - having fun discovering things, enjoy the information….

Web3.0 is the phase of going to school. The Web will really understand the matters of the world by adding sense throug the semantic web and related technologies. There is the mobile web and the social web…. It’s interesting where the Web will beam us in the near future. O’Reilly says: Web2.0 + The World = The World squared. We’ll see…

See the video here

Mining Mass Opinions: International Workshop in Hong Kong

Bastian — Mon, 30 Mar 2009 04:44:19 +0000

What is an opinion? Wikipedia says that “an opinion is a belief that may or may not be backed up with evidence, but which cannot be proved with that evidence. An opinion is neither right nor wrong. It is normally a subjective statement and may be the result of an emotion or an interpretation of facts; people may draw opposing opinions from the same facts.”

However. Understanding and analyzing opinions is fine for geeky twitter-blogosphere-analysts, marketing soldiers (who want to know how their products perform in the public) or, somehow more evil, for political governments to check the people’s opinions about public topics. The last approach could should be inverted: Analyze political publications, quotations in the media and parliament protocols to really understand the opinion and intentions of individual politicians or parties. This can be a tool for positive democratic development.

In November 2009 there is an interesing workshop about this field: http://sites.google.com/site/tsa2009workshop/

The suggested topics are:

Opinion retrieval, extraction, categorization, and aggregation
Topic and sentiment alignment in opinion analysis
Applications of topic-sentiment analysis, e.g. corporate reputation measurement, political orientation categorization, customer preference study, public opinion study
Issues in using topic-sentiment analysis as a new research method for mass opinion estimation, such as reliability, validity, sample bias, etc.
Sentiment identification and filtering at various text granularity
Domain-dependency of sentiment analyzers
Evaluation methodologies
Performance issues, scalability and efficiency
Web-based system demonstration
Novel algorithms, tools and systems
Construction of benchmark data sets