Semantic Web and its Logical
Foundations
Serguei Krivov,
Ecoinformatics Collaboratory
Gund Institute for Ecological Economics, UVM
Overview
•
Semantic Web
•
Semantic Web Languages and Tools
•
Description Logics (DL)
–
Formalism of
Web Ontology Languages
•
OWL
–
latest Web Ontology Language
Why Semantic Web?
•
Most information on the Web is designed for
human consumption, and even if it was derived
from a database with well defined meanings for
its columns, that the structure of the data is not
evident to a robot browsing the web.
•
Leaving aside the artificial intelligence problem
of training machines to behave like people, the
Semantic Web approach instead develops
languages for expressing information in a
machine processable form.
The Semantic Web Vision
+
Web made possible through established
standards
TCP/IP
for transporting bits down a wire
HTTP & HTML
for transporting and rendering hyperlinked text
+
Applications
able to exploit this common infrastructure
Result is the WWW as we know it
+
1st generation
web mostly handwritten HTML pages
+
2nd generation
(current) web often machine generated/active
+ Both intended for direct human processing/interaction
+ In
next generation
web,
resources
should be more accessible to
automated processes
To be achieved via
semantic markup
Metadata
annotations that describe content/function
+ Coincides with Tim Berners
-
Lee’s vision of a
Semantic Web
Ian Horroks, Logical Foundations for the Semantic Web
What is Semantic Web?
•
Semantic Web is an initiative of World Wide Web consortium
(
http://www.w3.org/2001/sw/
)
•
Semantic Web is a set of Languages and Tools for machine processing of
information stored in WWW
•
You can think of it as being an efficient way of representing data on the
World Wide Web, or as a globally linked Knowledge Base
.
•
Semantic Web is about efficient Knowledge Representation mechanism for
WWW. (AI)
•
Semantic Web is about efficient Reasoning Systems requered for
integration of distributed data .
Ontologies
+
Semantic markup must be
meaningful
to automated processes
+ Ontologies will play a key role
Source of
precisely defined
terms (vocabulary) Can be
shared
across applications (and humans)
+ Ontology typically consists of:
Hierarchical
description of important
concepts
in domain
Descriptions of
properties
of instances of each concept
+ Degree of formality can be quite variable
+ Increased formality and regularity facilitates machine understanding
+ Ontologies can be used, e.g.:
To facilitate agent
-
agent communication in
e
-
commerce
In semantic based
search
To provide richer
service descriptions
that can be more flexibly
interpreted by intelligent agents
Ian Horroks, Logical Foundations for the Semantic Web
RDF
–
Ressource Definition Framework
<?xml version="1.0"?>
<
Class
rdf:ID
="
Resource
"
xmlns:rdf="http://www.w3.org/1999/02/22
-
rdf
-
syntax
-
ns#"
xmlns="
uri
">
<
property
>
value
</
property
>
<
property
>
value
</
property
>
...
</
Class
>
[ressource] [property] [ressource]
[Hamlet] [Author] [W. Shakespeare ]
RDF Usage
–
Add ”annotations” for web
-
pages ?
–
Add ”annotations” for web
-
services ?
–
Instead of building a menu for a web
-
site,
declare the content in RDF, and let the user
-
agent build the menu dynamically ?
–
Describe all images on your website ?
–
Market the web.service your web.site
provides ?
RDF is used as a syntax for more
expressive languages: DAML+OIL,
OWL
*.jpg
RDF enhanced Website
”Semantic Web In A Box”
•
A Semantic Web in A Box Architecture
RDF Repository
Search
View
Update
Manage
Internet
Agents
*.gif
*.asp
*.html
*.jsp
From Jens Jacob Anderson’s Semantic Web Tutorial
Companies ,Tools, and Resources
Ontoprise :
OntoEdit, OntoBrocker
see:
http://www.ontoprise.de/products/index_html_en
Unicorn
http://www.unicorn.com/
KAON :
http://kaon.semanticweb.org/
Protégé
-
Free Ontology Editor
http://protege.stanford.edu/
Semantic Web Tools Tutorial
http://www.daml.org/2003/05/swmu
-
tools
-
tutorial/Overview.html
First Semantic Web Website:
http://owl.mindswap.org/
Web Languages
+
Web languages already extended to facilitate
content description
XML Schema (XMLS)
RDF and RDF Schema (RDFS)
+ RDFS recognisable as an
ontology language
Classes and properties
Range and domain of properties
Sub/super
-
classes (and properties)
+ But RDFS not a suitable foundation for Semantic Web
Too weak
to describe resources in sufficient detail
+ Requirements for web ontology language:
Compatible
with existing Web standards (XML, RDF, RDFS)
Easy to understand
and use (based on familiar KR idioms)
Formally specified
and of “adequate” expressive power
possible to provide
automated reasoning
support
Ian Horroks, Logical Foundations for the Semantic Web
Formalism for Ontology Languages: Description Logics
extracts from Franconi’s course
DL
-
examples
DL definition of “Happy Father”
(Example from Ian Horrocks, U Manchester, UK)
A Few Fundamental Definitions
Example:
KB={
A&B,
(C or (not D)),
D
}
The following is true:
KB |= A
KB |= C
•
Decidability:
A formal system is decidable if it has
inference procedure
i
that always terminates with
definite answer (either KB|
-
A or not KB|
-
A)
Why DL are used as formalism of Semantic Web ?
•
FOL
–
sound, complete, but not decidable
•
Proposition Logic
-
sound, complete, decidable,
but has low expressive power
•
DL
-
has sound, complete, decidable inference
procedure; has reasonable expressive power
•
Alternatives to DL
-
decidable fragments of FOL
-
Horn logic (prolog), F
-
Logic
OWL
-
Web Ontology Language
Extracts from:
Ian Horroks, Logical Foundations for the Semantic Web
+ Three species of OWL
OWL full is union of OWL syntax and RDF
OWL DL restricted to FOL fragment ( DAML+OIL)
OWL
Lite is
“easier to implement” subset of OWL DL
+ Semantic layering
OWL DL OWL full
within DL fragment
DL semantics officially
definitive
+ OWL DL based on SHIQ
Description Logic
+ Benefits from many years of DL research
Well defined
semantics
Formal properties
well understood (complexity, decidability)
Known
reasoning algorithms
Implemented systems
(highly optimised)
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