Georgi Kobilarov wrote:
Ontology is designed to put all things in their natural places, not to
make mess of the real world;

Most people don't care about structure, they care about content.

DBpedia makes Wikipedia's implicit structure explicit in order to make
its content more accessible and (re)usable.

That's it.

Georgi,

We have to be careful here, really. You are expressing but one "World View" (yours as expressed in the DBpedia data set schema) re. "most people don't care about structure, they care about content.... " :-) In my experience "Most People" end up putting very sophisticated demands on databases once they imbibe the value proposition. This has been the case in the past re. SQL DBMS technology and will be the case re. RDF based Linked Data, just a matter of time.


Thus, I would just qualify (or re-tag) the DBpedia Ontology as the DBpedia Schema. Basically, echoing the sentiments in the meme that Richard started earlier.

Kingsley

--
Georgi Kobilarov
Freie Universität Berlin
www.georgikobilarov.com


-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Azamat
Sent: Monday, November 17, 2008 8:38 PM
To: 'SW-forum'
Cc: [email protected]; [EMAIL PROTECTED];
[EMAIL PROTECTED]
Subject: Re: DBpedia 3.2 release, including DBpedia Ontology and RDF
links to Freebase


Monday, November 17, 2008 2:11 PM, Chris Bizer wrote:
'We are happy to announce the release of DBpedia version 3.2. ... More
information about the ontology is found at:
http://wiki.dbpedia.org/Ontology'

While opening, we see the following types of Resource, seemingly
Entity
or
Thing:

Resource (Person, Ethnic group, Organization, Infrastructure, Planet,
Work,
Event, Means of Transportation, Anatomic structure, Olympic record,
Language, Chemical compound, Species, Weapon, Protein, Disease,
Supreme
Court of the US, Grape, Website, Music Genre, Currency, Beverage,
Place).

I am of opinion to support the developers even when they misdirect.
But
this
'classification' meant to be used for 'wikipedia's infobox-to-ontology
mappings' is a complete disorder, having a chance for the URL
http://wiki.dbpedia.org/Mess.
Ontology is designed to put all things in their natural places, not to
make
mess of the real world; if you deal with chemical compound and
protein,
it
requests an arrangement like as protein < macromolecule < organic
compound <
chemical compound < matter, substance < physical entity < entity. The
same
with other things, however hard, rocky and trying it may be.

This test and trial proves again that any web ontology language
projects,
programming applications or semantic systems, are foredoomed without
fundamental ontological schema.

azamat abdoullaev

----- Original Message -----
From: "Chris Bizer" <[EMAIL PROTECTED]>
To: <[email protected]>; "'Semantic Web'" <[EMAIL PROTECTED]>;
<[EMAIL PROTECTED]>;
<[EMAIL PROTECTED]>
Sent: Monday, November 17, 2008 2:11 PM
Subject: ANN: DBpedia 3.2 release, including DBpedia Ontology and RDF
links
to Freebase



Hi all,

we are happy to announce the release of DBpedia version 3.2.

The new knowledge base has been extracted from the October 2008
Wikipedia
dumps. Compared to the last release, the new knowledge base provides
three
mayor improvements:


1. DBpedia Ontology

DBpedia now features a shallow, cross-domain ontology, which has been
manually created based on the most commonly used infoboxes within
Wikipedia.
The ontology currently covers over 170 classes which form a
subsumption
hierarchy and have 940 properties. The ontology is instanciated by a
new
infobox data extraction method which is based on hand-generated
mappings of
Wikipedia infoboxes to the DBpedia ontology. The mappings define
fine-granular rules on how to parse infobox values. The mappings also
adjust
weaknesses in the Wikipedia infobox system, like having different
infoboxes
for the same class (currently 350 Wikipedia templates are mapped to
170
ontology classes), using different property names for the same
property
(currently 2350 Wikipedia template properties are mapped to 940
ontology
properties), and not having clearly defined datatypes for property
values.
Therefore, the instance data within the infobox ontology is much
cleaner and
better structured than the infobox data within the DBpedia infobox
dataset
that is generated using the old infobox extraction code. The DBpedia
ontology currently contains about 882.000 instances.

More information about the ontology is found at:
http://wiki.dbpedia.org/Ontology


2. RDF Links to Freebase

Freebase is an open-license database which provides data about million
of
things from various domains. Freebase has recently released an Linked
Data
interface to their content. As there is a big overlap between DBpedia
and
Freebase, we have added 2.4 million RDF links to DBpedia pointing at
the
corresponding things in Freebase. These links can be used to smush and
fuse
data about a thing from DBpedia and Freebase.

For more information about the Freebase links see:
http://blog.dbpedia.org/2008/11/15/dbpedia-is-now-interlinked-with-
freebase-
links-to-opencyc-updated/


3. Cleaner Abstacts

Within the old DBpedia dataset it occurred that the abstracts for
different
languages contained Wikpedia markup and other strange characters. For
the
3.2 release, we have improved DBpedia's abstract extraction code which
results in much cleaner abstracts that can safely be displayed in user
interfaces.


The new DBpedia release can be downloaded from:

http://wiki.dbpedia.org/Downloads32

and is also available via the DBpedia SPARQL endpoint at

http://dbpedia.org/sparql

and via DBpedia's Linked Data interface. Example URIs:

http://dbpedia.org/resource/Berlin
http://dbpedia.org/page/Oliver_Stone

More information about DBpedia in general is found at:

http://wiki.dbpedia.org/About


Lots of thanks to everybody who contributed to the Dbpedia 3.2
release!
Especially:

1. Georgi Kobilarov (Freie Universität Berlin) who designed and
implemented
the new infobox extraction framework.
2. Anja Jentsch (Freie Universität Berlin) who contributed to
implementing
the new extraction framework and wrote the infobox to ontology class
mappings.
3. Paul Kreis (Freie Universität Berlin) who improved the datatype
extraction code.
4. Andreas Schultz (Freie Universität Berlin) for generating the
Freebase to
DBpedia RDF links.
5. Everybody at OpenLink Software for hosting DBpedia on a Virtuoso
server
and for providing the statistics about the new Dbpedia knowledge base.

Have fun with the new DBpedia knowledge base!

Cheers

Chris


--
Prof. Dr. Christian Bizer
Web-based Systems Group
Freie Universität Berlin
+49 30 838 55509
http://www.bizer.de
[EMAIL PROTECTED]




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Regards,

Kingsley Idehen       Weblog: http://www.openlinksw.com/blog/~kidehen
President & CEO OpenLink Software Web: http://www.openlinksw.com





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