nice thing found on web zen: pixelart

again, web zen made my day.
the tutorial suggested there is nice, I have to post my childish results of it.

aditional to the tutorial posted there, i found these:

• list of sources: https://www.inthefaith.com/blog/archives/000437.php
• nice tutorial https://www.deviantart.com/view/2866522/
• small tutorial: https://www.pixelfreak.com/v3/en/tutorial0.html

I am putting together more about smushing, which will be a key factor in the global semantic web: to connect annotations that were made by different people.

A typical smushing algorithm would be:

• take a large datastore DS that contains a set of triples Tset = {Ta, Tb, Tc, ... }
• iterate through known InverseFunctionalProperties IFPset = {Ia, Ib, Ic, ....}
• for each InverseFunctionalProperty Iy that is represented in the Tset as predicate, do a check for smushing.
• find all triples TxIy so that Tx has Property Iy
• find one triple Txc of TxIy that points to a grounding resource / canonical resource (see below)
• Use the subject Sx from the triple Txc and aggregate all other triples of subjects of TxIy to Sx. This means, change the subject in the triples to Sx.
• add owl:sameAs triples to connect all Subjects(TxIy) to Sx

The problem is, when you have a set of triples TxIy that have several subjects that should be the same - as defined by IFP - to choose which subject is the "canonical" subject and should now be filled with the triples.

There are different approaches to find the canonical resource:

• take by random
• prefer the resource that is annotated in special ontology (ie prefer SKOS concepts over foaf:Persons)
• prefer the more public resource (googlefight, public urls wins over private uris)
• prefer the best annotated resource (the resource with the most triples - attention, this is self-amplification of single resources)
• prefer the resource with the shortest / the longest uri
• prefer named resources over anonymous resources (this is very important, you must not smush to anonyms)

Another question is what to do with the smushing. Different approaches

1. store the smushing in an extra graph
2. delete the old triples, add the smushing
3. add the smushing additional to the old triples (tricky)

Each has obvious advantages and disadvantages. For gnowsis I would prefer (1)to smush into an extra graph, which is similiar to (3) but seperates the data.

In gnowsis we have the problem of incremental smushing, which means that we crawl thousands of emails per day and then would like to smush the persons in the addresses, but only of the new messages.


I have posted this algorithm also in the ESW wiki, where you can comment on it.

as recently said I added my geopos to leobard.net

now using this, I found myself on google maps.
https://maps.google.com/maps?ll=49.441200,7.766700&spn=0.05157,0.006615&t=k&hl=en

I updated my diploma thesis website, where I offer topics related to the Semantic Desktop as Master Thesis.

https://www.dfki.uni-kl.de/~sauermann/projekte/index.html

this always takes so much time, to write down my ideas and things that will be needed. The next student starts in October with a Thesis, so there are still places open.

here are the current topics. Well, I should add another one for GUI!

• your own idea - "I have an idea for the Semantic Web, its X and Leo, you will like it!" mail me.
  
• business card annotation- annotating business events
  
• managing concepts using SKOS - concepts for the masses
• semantic tools - evaluate semantic tools for our future
  
• semantic search - search inside the semantic desktop (taken by student)
  
• semantic email - how to annotate emails and how to classify emails. Eat Spam!
  
• text annotation - using the semantic desktop to annotate documents or write notes about sport events
• metadata integration - integrate information using RDF
• cyberspace in ultima
  online - Are you a mage or a hacker? or both?
  

Langton's ant was used as an example of scientific ideas in Terry Pratchett's book about science in his fantasy world (which my brother gave me as a present last christmas, thank you).

I searched and found implementations:
https://www.mathematische-basteleien.de/ameise.htm

and a definition:
https://en.wikipedia.org/wiki/Langton's_ant

and an applet that works (yeah, java rocks)
https://users.libero.it/acnard/ant.html

https://ytmnd.com

https://whatisnes.ytmnd.com/

!!!!!! GREAT ZOOOT !!!!!

stumbled me thoruhg SWHACK

another reason to hack the semantic web...

die auswahl der hundert besten photos aus 4gb = 2000 photos gestaltet sich schwierig.

nächste woche gibts photos der matatour 2005.