This is a regular query asking for the abstract of the Semantic Web resource from DBPedia. The query returns the English abstract which describes the Semantic Web as a collaborative movement led by the W3C that promotes common data formats on the World Wide Web in order to convert it from unstructured documents to a web of shared and reusable data across applications through the use of semantic annotations.

1. Semantic
Web
Assignment
2
Studentname:
Barry
Kollee
Student
number:
10349863
Student
username:
UvA
student
(barry.kollee@student.uva.nl)
Assignment
name:
WebKR
Assignment
2
Developing
an
OWL
ontology
with
Protege
1.
Chose
the
domain
of
your
ontology
My
domain
is
‘Apple
devices
specifications’.
2.
Define
two
classes
using
restrictions
as
shown
in
lecture
3
• iPhone
capacities
(device
is
available
in
only
16,
32
and
64
gb.)
o {16gb,
32gB,
64gB}
• iPod
colors(device
has
only
the
colors
red,
blue,
pink,
green,
gray,
black)
o {red,
blue,
pink,
green,
gray,
black}
3.
Imagine
at
least
3
instances
of
these
classes.
For
each
instance,
write
a
triple
in
which
you
assign
a
value
to
one
of
the
preoperties
used
in
the
restrictions
above.
(i.e
subject
=
the
instance,
predicate
=
the
property
used
in
the
restriction
object
=
the
value
that
you
chose)
• The
property
for
the
iPod
is
hasColors.
• The
property
for
the
iPhone
is
hasCapacity.
4.
Load
your
ontology
into
Protege.
My
code
written
with
turtle
syntax:
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix ex: <http://www.example.org/> .
:iPhone rdf:type owl:Class ;

2. rdfs:label "iPhone" ;
rdfs:subClassOf :Specifications ,
[ rdf:type owl:Restriction ;
owl:onProperty ex:hasCapacity ;
owl:allValuesFrom ex:Capacity ;
] ;
owl:disjointWith ex:Capacity.
:iPod rdf:type owl:Class ;
rdfs:label "iPod" ;
rdfs:subClassOf :Specifications ,
[ rdf:type owl:Restriction ;
owl:onProperty ex:hasColors ;
owl:allValuesFrom ex:Colors .
] ;
owl:disjointWith ex:Colors .
ex:16gB rdf:type ex:Capacity .
ex:32gB rdf:type ex:Capacity .
ex:64gB rdf:type ex:Capacity .
ex:red rdf:type ex:Colors .
ex:blue rdf:type ex:Colors .
ex:pink rdf:type ex:Colors .
ex:green rdf:type ex:Colors .
ex:gray rdf:type ex:Colors .
ex:black rdf:type ex:Colors .
5.
Show
that
Protege
classifes
your
instances
correctly.

4.
Output
of
the
Class
Hierarchy
(OntoGraf)
with
Protégé
4.1
6.
Explain
which
type
of
restriction
you
used.
owl:someValuesFrom,
owl:allValuesFrom,
owl:hasValue,
owl:cardinality
I’ve
used
owl:
allValuesFrom
for
both
of
my
classes.
You
would
be
unable
to
predict
if
an
iPhone
has
a
specific
capacity
or
not.
For
that
reason
I’ve
chosen
for
owl:allValuesFrom
which
results
in
all
the
possible
results;
in
this
case
the
iPhone
capacities.
On
the
other
hand
we
have
the
iPod
hasColors:
property.
The
reason
for
choosing
owl:allValuesFrom
is
equal
as
my
explanation
for
choosing
it
with
the
iPhone.
You
would
be
unable
to
predict
if
iPod’s
have
one
Color
or
more.
With
owl:allValuesFrom
we
cover
the
whole
list.
7.
Did
you
use
necessary
or
necessary
and
sufficient
conditions?
I
used
sufficient
conditions,
because
you
can’t
be
sure
what
kind
of
Colors
of
Capacities
you
will
find
under
Capacity
and
Colors.
SPARQL
Perform
3
queries
on
http://www.dbpedia.org.
You
can
use
one
of
their
web
interfaces
to
perform
the
queries
either
http://dbpedia.org/snorql/
or
http://dbpedia.org/sparql
.
Alternatively,
you
can
use
ARQ.
Hand
in
the
3
queries
along
with
the
results
for
each
query.
You
should
show
examples
of
both
schema
queries
and
regular
queries.
Identify,
which
queries
are
schema
queries
and
which
ones
are
regular.
Try
at
least
one
query
that
is
not
a
select
query
(e.g
a
construct
or
ask
query).

5. First
Query:
Select
Query
for
the
Semantic_Web
(abstract)
SELECT ?abstract
WHERE {
{ <http://dbpedia.org/resource/Semantic_Web>
<http://dbpedia.org/ontology/abstract> ?abstract }
}
Gives
me
several
results
(all
kinds
of
languages).
The
English
one
gives:
"The
Semantic
Web
is
a
collaborative
movement
led
by
the
World
Wide
Web
Consortium
(W3C)
that
promotes
common
formats
for
data
on
the
World
Wide
Web.
By
encouraging
the
inclusion
of
semantic
content
in
web
pages,
the
Semantic
Web
aims
at
converting
the
current
web
of
unstructured
documents
into
a
"web
of
data".
It
builds
on
the
W3C's
Resource
Description
Framework
(RDF).
According
to
the
W3C,
"The
Semantic
Web
provides
a
common
framework
that
allows
data
to
be
shared
and
reused
across
application,
enterprise,
and
community
boundaries.
"
The
term
was
coined
by
Tim
Berners-­‐Lee,
the
inventor
of
the
World
Wide
Web
and
director
of
the
World
Wide
Web
Consortium,
which
oversees
the
development
of
proposed
Semantic
Web
standards.
He
defines
the
Semantic
Web
as
"a
web
of
data
that
can
be
processed
directly
and
indirectly
by
machines.
"
While
its
critics
have
questioned
its
feasibility,
proponents
argue
that
applications
in
industry,
biology
and
human
sciences
research
have
already
proven
the
validity
of
the
original
concept.
Scholars
have
explored
the
social
potential
of
the
semantic
web
in
the
business
and
health
sectors,
and
for
social
networking.
The
original
2001
Scientific
American
article
by
Berners-­‐Lee
described
an
expected
evolution
of
the
existing
Web
to
a
Semantic
Web,
but
this
has
yet
to
happen.
In
2006,
Berners-­‐Lee
and
colleagues
stated
that:
"This
simple
idea...
remains
largely
1
unrealized.""@en
2
Second
Query:
Select
Query
for
Concepts
of
DBPedia
(with
a
limit
of
5
results)
SELECT
DISTINCT
?Concept
where
{?s
a
?Concept}
LIMIT
5
This
Query
gives
me
this
result:
Third
Query:
Comparing
the
height
of
the
Eiffel
Tower
to
the
Rocky
Mountains
PREFIX prop: <http://dbpedia.org/property/>
ASK
{
<http://dbpedia.org/resource/Eiffel_Tower> prop:height ?eiffel .
<http://dbpedia.org/resource/Rocky_Mountains> prop:height ?rocky .
FILTER(?eiffel > ?rocky) .
}
Gives
me
the
result
true.
1
http://dbpedia.org/sparql?default-­‐graph-­‐
uri=http%3A%2F%2Fdbpedia.org&query=SELECT+%3Fabstract%0D%0AWHERE+{%0D%0A{+%3Chttp%3A%2F%2Fd
bpedia.org%2Fresource%2FSemantic_Web%3E+%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2Fabstract%3E+%3F
abstract+}%0D%0A}%0D%0A&format=text%2Fhtml&timeout=0&debug=on;
result
of
Quering
http://dbpedia.org/resource/Semantic_Web
2
http://www.cambridgesemantics.com/semantic-­‐university/sparql-­‐by-­‐example

6.
PREFIX prop: <http://dbpedia.org/property/>
ASK
{
<http://dbpedia.org/resource/Eiffel_Tower> prop:height ?eiffel .
<http://dbpedia.org/resource/Rocky_Mountains> prop:height ?rocky .
FILTER(?eiffel < ?rocky) .
}
Gives
me
the
result
false.
The
reults
which
I
retrieved
from
the
Select
query
of
the
concepts
gave
me
a
schema
because
I
used
a
3
metaclass
which
identifies
my
query
as
a
schema
query.
Joseki
Set
up
Joseki
(http://www.joseki.org/)
You'll
_nd
instructions
on
black-­‐
board.
Load
your
ontology
into
Joseki.
Write
one
sparql
sparql
query
that
you
can
run
over
your
ontology.
Show
the
results
of
running
those
queries
against
your
ontology.
Unfortunately
I
was
unable
to
get
Joseki
running
on
my
Mac.
It
could
be
because
of
compatibility
issues.
(I’ve
got
mountain
Lyon
installed).
However
I
did
some
research
on
a
possible
query
for
querying
the
iPod
color.
Which
I
could
not
test
unfortunately.4
PREFIX : <http://www.w3.org/2011/12/appledevicespecifications.owl#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?color
FROM <http://www.w3.org/2011/12/appledevicespecifications.owl>
WHERE { ?iPod rdf:type/rdfs:subClassOf* color:Colors . }
3
http://msdn.microsoft.com/en-­‐us/library/windows/desktop/aa393278%28v=vs.85%29.aspx
4
http://www.cambridgesemantics.com/semantic-­‐university/sparql-­‐by-­‐example