On 18/08/2020 22:17, Dr. Chavdar Ivanov wrote:
Andy, Richard,
Thank you for the feedback.

In the graph  I have the 2 values as xsd:float so this is how the data is coming

In the SPAQL query I tried to cast the float to decimal by using
FILTER (xsd:decimal(?value1)!=xsd:decimal(?value1)).

I am not sure if this is correct way, but I am now seeing a difference in the 
comparison result

0.1001244561 Is different from 0.1001234590 which is OK
         ^^ typo?


But these are reported as same 100123456.1     and  100123459.0


100123456.1 is not a floating point number. It has more precision than xsf:float can represent.

It's "1.00123456E8"^^xsd:float


(Please copy and paste expressions into email.)

xsd:decimal(?value1)

is:
evaluate ?value1 to get an xsd:float.

which is

'"0.1001244561"^^xsd:float

Using Jena's expression evaluator:

qexpr '"0.1001244561"^^xsd:float+0'
 ==>
"0.100124456"^^xsd:float

See? Already lost precision.

Then turn it into a deciminal.

it is different to:
xsd:decimal(str(?value1))

which takes the lexical form, not the floating point value, of ?value1.

If I get the value before the comparison is executed the xsd:decimal of the two 
values appears to be the same 100123456.0 so this is why != does not reports 
the difference.
Here the decimal does not seem to help,

Because precision was lost making the decimal.  Start with a decimal.

xsd:decimal("0.1001244561")
 or "0.1001244561"^^xsd:decimal
 or 0.1001244561   (in Turtle and SPARQL).

but I guess this falls in the same category that large absolute values are less 
precise. So same effect as for xsd:float.

Best regards
Chavdar



-----Original Message-----
From: Andy Seaborne <[email protected]>
Sent: Tuesday, 18 August, 2020 19:07
To: [email protected]
Subject: Re: Float comparison



On 18/08/2020 10:31, Richard Cyganiak wrote:
The xsd:float datatype represents IEEE 754 single-precision floating point 
numbers.

As with any floating-point datatype, the precision depends on the size of the 
number. Numbers close to zero are very precise. Numbers with a large absolute 
value (large positive or large negative) are less precise. For the gory details 
see for example here:

https://en.wikipedia.org/wiki/Single-precision_floating-point_format#P
recision_limitations_on_decimal_values_in_[1,_16777216]

There is rarely a good reason to use xsd:float in RDF. xsd:double is much more 
precise at a small increase of storage cost (4 more bytes, which is negligible 
given the total size of an RDF triple). xsd:decimal provides arbitrary 
precision (in theory), but is more expensive in storage and computation.

My general view is that if storage size and performance of mathematical 
computations are a major concern for the application, RDF is probably not the 
best choice—RDF optimises for other concerns. Therefore the best choice for 
representing non-integer numbers in RDF is usually xsd:decimal—more expensive, 
but no issues with precision.

Richard

xsd:decimal can record any decimal precision but division may loose precision - otherwise 
"1/3" is infinite storage.

Jena uses 24 digit precision for division for inexact results like 1/3.



On 18 Aug 2020, at 05:48, Dr. Chavdar Ivanov <[email protected]> wrote:

Hello



I posted the message below to the TopBraid users mailing list and
already clarified that as sh:equals is based on RDF node equality,
values such as "1.0"^^xsd:float and "1"^^xsd:float count as distinct.
So I am keeping this for the interest of others in the list

SPARQL has both comparisons.

The "sameTerm()" operator for RDF termequality, and SPARQL "=" for value 
comparison (by op:numeric-equal):

      Andy




But on SPARQL float comparison I got an advise to check in this mailing list 
for other opinions.

I understand that SPARQL comparison is mathematically based so 1.0 should be 
equal to 1. However below in item 2 you will see the numbers I compared and I 
am getting confused. Take into account that in the data graph the 2 compared 
properties are typed literals with datatype float.

I wanted to know what is the precision when float is compared. So I
have 2 questions

*       What is the precision? - is it 6th decimal and is it OK to compare 
different forms of float, i.e. one is in scientific form
*       Why I am getting wrong comparison result for bigger values such as    
100123456.1     and  100123459     which are found as same



Best regards

Chavdar





========





Dear all,



I have a very basic question...

I need to compare literals that are floats and tried to use two ways.
1) using sh:equals to compare 2 properties and 2) using SPARQL where
I filter != different values



For the filter I tried using

FILTER (xsd:float(?value1)!=xsd:float(?value1)).

or

FILTER (?value1!=?value1).

Both give the same outcome.



Below I listed a summary of the tests I did



I think sh:equals treats the literals as strings even though they are floats. 
It also gives 2 results. I thing this looks like according to the SHACL spec 
although I didn't if the sh:equals ignores the datatype.



However In some cases the result form the SPARQL is kind of strange. It looks 
like the precision is 10-6, but for the big numbers  and when scientific form 
on float number is used we have something different.



What is followed to define the difference?

If I use google calculator

100123456.1-100.123459E+06=-2.90000000596



Normally it should be OK to compare different forms of float.





1) using sh:equals in the property shape

Value1 ; value 2  ; comparisson result

1.123456 ; 1.123456 ; same

1.1234560 ; 1.1234561 ; different (sh:equals reports it twice)

31.1234560 ; 31.1234561 ;different (sh:equals reports it twice)

30    ;      30.0000001 ; different (sh:equals reports it twice)

30     ;      30.000001 ; different (sh:equals reports it twice)

100123456.0  ; 100123456.1 ; different (sh:equals reports it twice)

100123456.0  ; 100123456.0 ; same

100123456    ;  100.123456E6 ; different (sh:equals reports it twice)

100123456    ;  100.123456E+06 ; different (sh:equals reports it twice)

-0.123456789  ;  -123.456789E-3 ; different (sh:equals reports it
twice)

-0.123456789  ;  -123.456789E-03 ; different (sh:equals reports it
twice)

100123456.1    ;  100.123456E+06  ; different (sh:equals reports it twice)

100123456.1     ;   100.123459E+06 ; different (sh:equals reports it twice)

100123456.1     ;  100123459      ; different (sh:equals reports it twice)

100123456.1     ;  100123459.0    ; different (sh:equals reports it twice)



2) using SPARQL (in the property shape)

1.123456 ; 1.123456 ; same

1.1234560 ; 1.1234561 ; different

31.1234560 ; 31.1234561 ;different

30    ;      30.0000001 ; same

30     ;      30.000001 ; different

100123456.0  ; 100123456.1 ; same

100123456.0  ; 100123456.0 ; same

100123456    ;  100.123456E6 ; same

100123456    ;  100.123456E+06 ; same

-0.123456789  ;  -123.456789E-3 ; same

-0.123456789  ;  -123.456789E-03 ; same

100123456.1    ;  100.123456E+06  ; same

100123456.1     ;   100.123459E+06 ; same

100123456.1     ;  100123459      ; same

100123456.1     ;  100123459.0    ; same



Best regards

Chavdar




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